{"slug":"lovstudio-lov-any2pdf","name":"lov-any2pdf","description":"Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source.","long_description":"---\nname: lov-any2pdf\ndescription: >\n  Convert Markdown documents to professionally typeset PDF files with reportlab.\n  Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian\n  callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages,\n  clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple\n  color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is\n  battle-tested for Chinese technical reports. Use this skill whenever the user\n  wants to turn a .md file into a styled PDF, generate a report PDF from markdown,\n  or create a print-ready document from markdown content — especially if CJK\n  characters, code blocks, or tables are involved. Also trigger when the user\n  mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or\n  \"professionally formatted\" PDF from markdown source.\nlicense: MIT\ncompatibility: >\n  Requires Python 3.8+ and reportlab (`pip install reportlab`).\n  Optional: matplotlib (`pip install matplotlib`) for rendered display formulas.\n  macOS: uses Palatino, Songti SC, Menlo (pre-installed).\n  Linux: uses DejaVu/Liberation/FreeFont/Noto, Noto CJK, Droid Sans Fallback,\n  DejaVu Sans Mono, and Noto Emoji when available.\nmetadata:\n  author: contributors\n  version: \"1.1.0\"\n  tags: markdown pdf cjk reportlab typesetting\n---\n\n# any2pdf — Markdown to Professional PDF\n\nThis skill converts any Markdown file into a publication-quality PDF using Python's\nreportlab library. It was developed through extensive iteration on real Chinese\ntechnical reports and solves several hard problems that naive MD→PDF converters\nget wrong.\n\n## When to Use\n\n- User wants to convert `.md` → `.pdf`\n- User has a markdown report/document and wants professional typesetting\n- Document contains CJK characters (Chinese/Japanese/Korean) mixed with Latin text\n- Document has fenced code blocks, markdown tables, or nested lists\n- Document has local/remote images, Obsidian callouts, emoji, or math formulas\n- User wants a cover page, table of contents, or watermark in their PDF\n\n## Quick Start\n\n```bash\npython md2pdf/scripts/md2pdf.py \\\n  --input report.md \\\n  --output report.pdf \\\n  --title \"My Report\" \\\n  --author \"Author Name\" \\\n  --theme warm-academic\n```\n\nAll parameters except `--input` are optional — sensible defaults are applied.\n\n## Pre-Conversion Options (MANDATORY)\n\n**IMPORTANT: You MUST use the `AskUserQuestion` tool to ask these questions BEFORE\nrunning the conversion. Do NOT list options as plain text — use the tool so the user\ngets a proper interactive prompt. Ask all options in a SINGLE `AskUserQuestion` call.**\n\nUse `AskUserQuestion` with the following template. The tone should be friendly and\nconcise — like a design assistant, not a config form:\n\n```\n开始转 PDF！先帮你确认几个选项 👇\n\n━━━ 📐 设计风格 ━━━\n a) 暖学术    — 陶土色调，温润典雅，适合人文/社科报告\n b) 经典论文  — 棕色调，灵感源自 LaTeX classicthesis，适合学术论文\n c) Tufte     — 极简留白，深红点缀，适合数据叙事/技术写作\n d) 期刊蓝    — 藏蓝严谨，灵感源自 IEEE，适合正式发表风格\n e) 精装书    — 咖啡色调，书卷气，适合长篇专著/技术书\n f) 中国红    — 朱红配暖纸，适合中文正式报告/白皮书\n g) 水墨      — 纯灰黑，素雅克制，适合文学/设计类内容\n h) GitHub    — 蓝白极简，程序员熟悉的风格\n i) Nord 冰霜 — 蓝灰北欧风，清爽现代\n j) 海洋      — 青绿色调，清新自然\n\n━━━ 🖼 扉页图片（封面之后的全页插图） ━━━\n 1) 跳过\n 2) 我提供本地图片路径\n 3) AI 根据内容自动生成一张\n\n━━━ 💧 水印 ━━━\n 1) 不加\n 2) 自定义文字（如 \"DRAFT\"、\"内部资料\"）\n\n━━━ 📇 封底物料（名片/二维码/品牌） ━━━\n 1) 跳过\n 2) 我提供图片\n 3) 纯文字信息\n\n示例回复：\"a, 扉页跳过, 水印:仅供学习参考, 封底图片:/path/qr.png\"\n直接说人话就行，不用记编号 😄\n```\n\n### Mapping User Choices to CLI Args\n\n| Choice | CLI arg |\n|--------|---------|\n| Design style a-j | `--theme` with value from table below |\n| Frontispiece local | `--frontispiece <path>` |\n| Frontispiece AI | Generate image first, then `--frontispiece /tmp/frontispiece.png` |\n| Watermark text | `--watermark \"文字\"` |\n| Back cover image | `--banner <path>` |\n| Back cover text | `--disclaimer \"声明\"` and/or `--copyright \"© 信息\"` |\n\n### Theme Name Mapping\n\n| Choice | `--theme` value | Inspiration |\n|--------|----------------|-------------|\n| a) 暖学术 | `warm-academic` | Skill Publisher design system |\n| b) 经典论文 | `classic-thesis` | LaTeX classicthesis |\n| c) Tufte | `tufte` | Edward Tufte's books |\n| d) 期刊蓝 | `ieee-journal` | IEEE journal format |\n| e) 精装书 | `elegant-book` | LaTeX ElegantBook |\n| f) 中国红 | `chinese-red` | Chinese formal documents |\n| g) 水墨 | `ink-wash` | 水墨画 / ink wash painting |\n| h) GitHub | `github-light` | GitHub Markdown style |\n| i) Nord | `nord-frost` | Nord color scheme |\n| j) 海洋 | `ocean-breeze` | — |\n\n### Handling AI-Generated Frontispiece\n\nIf user chose AI generation: read the document title + first paragraphs, use an\nimage generation tool to create a themed illustration matching the chosen design\nstyle, show for approval, then pass via `--frontispiece /path/to/image.png`\n\n## Architecture\n\n```\nMarkdown → Preprocess (split merged headings) → Parse (code-fence-aware) → Story (reportlab flowables) → PDF build\n```\n\nKey components:\n1. **Font system**: Palatino (Latin body), Songti SC (CJK body), Menlo (code) on macOS; auto-fallback on Linux\n2. **CJK wrapper**: `_font_wrap()` wraps CJK character runs in `<font>` tags for automatic font switching\n3. **Mixed text renderer**: `_draw_mixed()` handles CJK/Latin mixed text on canvas (cover, headers, footers)\n4. **Code block handler**: `esc_code()` preserves indentation and line breaks in reportlab Paragraphs\n5. **Smart table widths**: Proportional column widths based on content length, with 18mm minimum\n6. **Bookmark system**: `ChapterMark` flowable creates PDF sidebar bookmarks + named anchors\n7. **Heading preprocessor**: `_preprocess_md()` splits merged headings like `# Part## Chapter` into separate lines\n8. **Image handler**: local, relative, `file://`, and remote markdown images are scaled into the body frame with fallback text on errors\n9. **Callout renderer**: Obsidian-style `> [!NOTE]` blocks render as themed boxed callouts\n10. **Formula renderer**: display formulas use optional matplotlib mathtext images, with styled text fallback\n11. **Emoji fallback**: emoji are rendered as cached Twemoji PNGs when available, or with a local emoji font fallback\n\n## Hard-Won Lessons\n\n### CJK Characters Rendering as □\n\nreportlab's `Paragraph` only uses the font in ParagraphStyle. If `fontName=\"Mono\"` but\ntext contains Chinese, they render as □. **Fix**: Always apply `_font_wrap()` to ALL text\nthat might contain CJK, including code blocks.\n\n### Code Blocks Losing Line Breaks\n\nreportlab treats `\\n` as whitespace. **Fix**: `esc_code()` converts `\\n` → `<br/>` and\nall spaces → `&nbsp;`, preserving indentation and mid-line alignment before `_font_wrap()`.\n\n### CJK/Latin Word Wrapping\n\nDefault reportlab breaks lines only at spaces, causing ugly splits like \"Claude\\nCode\".\n**Fix**: Set `wordWrap='CJK'` on body/bullet styles to allow breaks at CJK character boundaries.\n\n### Canvas Text with CJK (Cover/Footer)\n\n`drawString()` / `drawCentredString()` with a Latin font can't render 年/月/日 etc.\n**Fix**: Use `_draw_mixed()` for ALL user-content canvas text (dates, stats, disclaimers).\n\n## Configuration Reference\n\nMost options can also be set in top-of-file YAML-style frontmatter. Explicit CLI\narguments take precedence over frontmatter values.\n\n| Argument | Frontmatter Key | Default | Description |\n|----------|----------------|---------|-------------|\n| `--input` | — | (required) | Path to markdown file |\n| `--output` | — | `output.pdf` | Output PDF path |\n| `--title` | `title` | From first H1 | Document title for cover page |\n| `--subtitle` | `subtitle` | `\"\"` | Subtitle text |\n| `--author` | `author` | `\"\"` | Author name |\n| `--date` | `date` | Today | Date string |\n| `--version` | `version` | `\"\"` | Version string for cover |\n| `--watermark` | `watermark` | `\"\"` | Watermark text (empty = none) |\n| `--theme` | `theme` | `warm-academic` | Color theme name |\n| `--theme-file` | — | `\"\"` | Custom theme JSON file path |\n| `--cover` | `cover` | `true` | Generate cover page |\n| `--toc` | `toc` | `true` | Generate table of contents |\n| `--page-size` | `page-size` | `A4` | Page size (A4 or Letter) |\n| `--frontispiece` | `frontispiece` | `\"\"` | Full-page image after cover |\n| `--banner` | `banner` | `\"\"` | Back cover banner image |\n| `--header-title` | `header-title` | `\"\"` | Report title in page header |\n| `--footer-left` | `footer-left` | author | Brand/author in footer |\n| `--stats-line` | `stats-line` | `\"\"` | Stats on cover |\n| `--stats-line2` | `stats-line2` | `\"\"` | Second stats line |\n| `--edition-line` | `edition-line` | `\"\"` | Edition line at cover bottom |\n| `--disclaimer` | `disclaimer` | `\"\"` | Back cover disclaimer |\n| `--copyright` | `copyright` | `\"\"` | Back cover copyright |\n| `--code-max-lines` | `code-max-lines` | `30` | Max lines per code block |\n\n## Themes\n\nAvailable: `warm-academic`, `nord-frost`, `github-light`, `solarized-light`,\n`paper-classic`, `ocean-breeze`.\n\nEach theme defines: page background, ink color, accent color, faded text, border, code background, watermark tint.\n\n## Dependencies\n\n```bash\npip install reportlab --break-system-packages\n# Optional formula rendering:\npip install matplotlib --break-system-packages\n```\n\nRecommended Ubuntu/Debian fonts:\n\n```bash\nsudo apt install fonts-dejavu-core fonts-liberation fonts-freefont-ttf fonts-noto fonts-noto-cjk fonts-noto-color-emoji\n```\n\n## Runtime context (shared)\n\n运行前读取本 Skill 包的 `skill.yaml`，由宿主提供 `skill-runtime/v1` 上下文。字段解析顺序为：当前请求、项目上下文、个人 Preferences、品牌 Profile、通用默认值。\n\n- 只使用 Manifest 声明的字段；Profile 保存公开品牌事实，Preferences 保存个人工作偏好。\n- `required: true` 字段缺失时，按 Manifest 的问题配置向用户提出一个聚焦问题；用户明确同意后再保存回答。\n- 报错提供可复制的 `context_id`、字段路径与来源，诊断内容避开秘密、完整私人路径和原始配置。\n","tagline":"Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and","category":"research","tags":["agent-skill"],"author":"lovstudio","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"lovstudio/any2pdf","creatorName":"lovstudio","creatorUrl":"https://github.com/lovstudio","sourceUrl":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":207,"forks":32,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":39.48},"quality":{"score":70,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"207","tone":"neutral"},{"label":"Freshness","value":"26d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools."]},"trust":{"version":"trust-score-v5","score":65,"base_score":73,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["65/100 Trust Score v5","73/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"207 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"207 stars, 32 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"26d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":62,"weight":0.12,"status":"info","detail":"command execution surface, external package install surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add lovstudio/any2pdf --skill lov-any2pdf"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":62,"weight":0.07,"status":"info","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"207 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"207 stars, 32 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"26d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, external package install surface"},{"status":"pass","label":"Install availability","detail":"npx skills add lovstudio/any2pdf --skill lov-any2pdf"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"207 GitHub stars","repoActivity":"207 stars, 32 forks","lastPushed":"26d since push","license":"MIT","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","install":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","26d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","trust_score":65,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":73,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v5":{"version":"trust-score-v5","score":65,"base_score":73,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["65/100 Trust Score v5","73/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"207 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"207 stars, 32 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"26d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":62,"weight":0.12,"status":"info","detail":"command execution surface, external package install surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add lovstudio/any2pdf --skill lov-any2pdf"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":62,"weight":0.07,"status":"info","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"207 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"207 stars, 32 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"26d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, external package install surface"},{"status":"pass","label":"Install availability","detail":"npx skills add lovstudio/any2pdf --skill lov-any2pdf"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"207 GitHub stars","repoActivity":"207 stars, 32 forks","lastPushed":"26d since push","license":"MIT","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","install":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","26d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","trust_score":65,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":73,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":73,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":62,"weight":0.13,"status":"info","detail":"207 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":57,"weight":0.08,"status":"warn","detail":"207 stars, 32 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"26d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":62,"weight":0.12,"status":"info","detail":"command execution surface, external package install surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add lovstudio/any2pdf --skill lov-any2pdf"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":62,"weight":0.07,"status":"info","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"info","label":"GitHub adoption","detail":"207 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"207 stars, 32 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"26d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, external package install surface"},{"status":"pass","label":"Install availability","detail":"npx skills add lovstudio/any2pdf --skill lov-any2pdf"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"info","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"],"evidence":{"stars":"207 GitHub stars","repoActivity":"207 stars, 32 forks","lastPushed":"26d since push","license":"MIT","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","install":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","26d since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":46,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","46/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","46/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":69,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","Permission surface: shell or command execution, filesystem or document access","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate lov-any2pdf before installing it in an agent workflow","research","Document processing workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add lovstudio/any2pdf --skill lov-any2pdf"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add lovstudio/any2pdf --skill lov-any2pdf"]},{"id":"trust_score","label":"Trust score","status":"warn","score":73,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","207 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":78,"required_for_auto_install":true,"detail":"Needs review","evidence":["Financial research output is not financial advice; require human review before any live investment decision"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":46,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"26d since push","evidence":["26d since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":62,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Browser automation: medium","Network access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf/evals","api":"/api/agent/evals?slug=lovstudio-lov-any2pdf","text":"/api/agent/evals?slug=lovstudio-lov-any2pdf&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"lovstudio-lov-any2pdf","name":"lov-any2pdf","description":"Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source.","category":"research","url":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","github_repo":"lovstudio/any2pdf"},"suited_tasks":["Document processing workflows","Claude Code teams","builders willing to evaluate younger projects","Read uploaded files","Extract structured fields","Prepare clean context for downstream agents","Inspect visual requirements","Generate reusable assets"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add lovstudio-lov-any2pdf"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"lov-any2pdf\" agent skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"lov-any2pdf\" as a Claude Code skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"lov-any2pdf\" from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/lovstudio-lov-any2pdf/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/lovstudio-lov-any2pdf"},"trust":{"score":73,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"207 GitHub stars","repoActivity":"207 stars, 32 forks","lastPushed":"26d since push","license":"MIT","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","install":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":70,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Document processing","maintenance":"26d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Use lov-any2pdf in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 73/100 Strong shortlist","Audit: 78/100 Needs review","Safety: 46/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"lovstudio-lov-any2pdf (lov-any2pdf)","install_command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"lovstudio-lov-any2pdf","task":"Use lov-any2pdf in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf","api":"https://www.openagentskill.com/api/agent/skills/lovstudio-lov-any2pdf","audit":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=lovstudio-lov-any2pdf&task=Use%20lov-any2pdf%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20lov-any2pdf%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20lov-any2pdf%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/lovstudio-lov-any2pdf/install","manifest":"https://www.openagentskill.com/api/registry/manifest/lovstudio-lov-any2pdf"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"lovstudio-lov-any2pdf","name":"lov-any2pdf","description":"Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source.","category":"research","url":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","github_repo":"lovstudio/any2pdf"},"suited_tasks":["Document processing workflows","Claude Code teams","builders willing to evaluate younger projects","Read uploaded files","Extract structured fields","Prepare clean context for downstream agents","Inspect visual requirements","Generate reusable assets"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add lovstudio-lov-any2pdf"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"lov-any2pdf\" agent skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"lov-any2pdf\" as a Claude Code skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"lov-any2pdf\" from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/lovstudio-lov-any2pdf/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/lovstudio-lov-any2pdf"},"trust":{"score":73,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"207 GitHub stars","repoActivity":"207 stars, 32 forks","lastPushed":"26d since push","license":"MIT","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","install":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":78,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Financial research output is not financial advice; require human review before any live investment decision","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":70,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Document processing","maintenance":"26d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Use lov-any2pdf in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 73/100 Strong shortlist","Audit: 78/100 Needs review","Safety: 46/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"lovstudio-lov-any2pdf (lov-any2pdf)","install_command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"lovstudio-lov-any2pdf","task":"Use lov-any2pdf in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf","api":"https://www.openagentskill.com/api/agent/skills/lovstudio-lov-any2pdf","audit":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=lovstudio-lov-any2pdf&task=Use%20lov-any2pdf%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20lov-any2pdf%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20lov-any2pdf%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/lovstudio-lov-any2pdf/install","manifest":"https://www.openagentskill.com/api/registry/manifest/lovstudio-lov-any2pdf"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Document processing","description":"I need my agent to read PDFs, extract tables, and turn documents into structured data.","useCases":[{"slug":"document-processing","title":"Document processing"},{"slug":"design-creative","title":"Design and creative"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":207,"starsLabel":"207","forks":32,"license":"MIT","qualityScore":70,"trustScore":73,"auditScore":78},"maintenance":{"status":"fresh","label":"26d since push","daysSincePush":26,"lastPushedAt":"2026-08-10T17:35:57+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Financial research output is not financial advice; require human review before any live investment decision","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"coverageTags":["Research","Document processing","agent-skill"]},"audit":{"audit_score":78,"risk_level":"needs_review","risk_label":"Needs review","quality_score":70,"trust_score":73,"maintenance_score":100,"security_score":76,"install_score":92,"warnings":["Financial research output is not financial advice; require human review before any live investment decision","The script fetches remote images via urllib, which could be a vector for SSRF or downloading malicious content if the markdown is untrusted. However, this is user-controlled and typical for such tools.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Stars/forks activity: 207 stars, 32 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":16.23,"usage_score":0,"review_score":5.25,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"design-creative","title":"Design and creative","url":"https://www.openagentskill.com/use-cases/design-creative"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"stacks":[{"slug":"frontend-product-ui","title":"Frontend and UI","url":"https://www.openagentskill.com/collections/frontend-product-ui"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"}],"install":"npx skills add lovstudio/any2pdf --skill lov-any2pdf","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add lovstudio-lov-any2pdf","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"lov-any2pdf\" agent skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"lov-any2pdf\" as a Claude Code skill from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"lov-any2pdf\" from https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Convert Markdown documents to professionally typeset PDF files with reportlab. Handles CJK/Latin mixed text, fenced code blocks, tables, blockquotes, Obsidian callouts, inline images, emoji fallback, LaTeX-style formulas, cover pages, clickable TOC, PDF bookmarks, watermarks, and page numbers. Supports multiple color themes (Configurable Academic, Nord, GitHub Light, Solarized, etc.) and is battle-tested for Chinese technical reports. Use this skill whenever the user wants to turn a .md file into a styled PDF, generate a report PDF from markdown, or create a print-ready document from markdown content — especially if CJK characters, code blocks, or tables are involved. Also trigger when the user mentions \"markdown to PDF\", \"md2pdf\", \"any2pdf\", \"md转pdf\", \"报告生成\", or asks for a \"typeset\" or \"professionally formatted\" PDF from markdown source. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"lovstudio-lov-any2pdf\",\"task\":\"Install lov-any2pdf\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","github_repo":"lovstudio/any2pdf","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/lovstudio-lov-any2pdf","repository":"https://github.com/lovstudio/any2pdf/tree/main/lov-any2pdf","api":"/api/agent/skills/lovstudio-lov-any2pdf","install_api":"/api/skills/lovstudio-lov-any2pdf/install"},"meta":{"created_at":"2026-09-06T06:55:53.827653+00:00","updated_at":"2026-09-06T06:55:53.919634+00:00","agent_friendly":true}}