{"slug":"mathbullet-paper-details","name":"paper-details","description":"Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation.","long_description":"---\nname: paper-details\ndescription: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation.\n---\n\n# Paper Details\n\nConventions for producing a detailed Markdown explainer of an academic paper. The aim of this skill is to describe the paper accurately, not to critique it.\n\nThis skill follows the shared sourced-writing conventions defined in `documenting-with-sources`. Read `documenting-with-sources` before drafting.\n\n## 1. Deliverable structure\n\n### 1.0 Output location\n\nWrite the explainer as a `.md` file under the project's `reports/` directory, where \"the project\" is the root that contains the source paper PDF. Create the directory if it does not exist.\n\n- Path: `{project-root}/reports/{paper-filename-base}.md`\n- Example: if the PDF is at `/path/to/project/papers/foo.pdf`, the output is `/path/to/project/reports/foo.md`\n\nDo not write next to the PDF, and do not write at the project root. Do not ask the user for the output path — determine it mechanically by the rule above.\n\n### 1.1 Opening\n\nIn this order:\n\n1. Title (`# {paper title} — Detailed Explainer`)\n2. Bibliographic info (authors, affiliations, venue, year, arXiv/DOI, URL)\n3. Full abstract — quote the original in a code block per `writing-quotation`; if the original is in a non-working language, place the translation alongside as a separate paragraph in the same block.\n\n### 1.2 Body section structure\n\nThe body's section structure follows the paper's. If the paper has Section 1 Introduction, Section 2 Method, Section 3 Results, ..., the explainer uses the same order and the same headings.\n\nAdd explainer-only sections (e.g. \"Strengths of the paper\", \"Limitations of the paper\", \"Source list\") *after* the paper's own section structure.\n\n### 1.3 Bullet lists vs prose\n\nPick the form by the nature of the content.\n\n- Bullet lists fit enumerations of parallel items — variable lists, definitions of evaluation metrics, table-column descriptions, comparison points between methods, etc. When the content is genuinely list-shaped, the prose form blurs the boundaries between items.\n- Prose fits relationships, causal flow, contextual explanation. When the reader needs to understand why items appear together or how they form a single argument, prose is what holds it together.\n\n### 1.4 Figures and tables: extract as images\n\nNever reconstruct a figure or table from scratch (no hand-written HTML tables, no redrawn SVG figures). Extract them as images from the source paper and insert those images into the deliverable (`.md` or HTML). Hand reconstruction introduces transcription errors and loses the original layout — bold, underline, colour-coded legends — so it is forbidden.\n\nUse the script bundled with this skill:\n\n```\nuv run {this-skill-dir}/scripts/extract_images.py <PDF path>\n```\n\n- The script finds `Figure N` / `Table N` captions in the PDF and clip-renders the figure/table region directly above each caption — the bounding box of vector drawings, rules, and embedded images — at 300 dpi. Figures and tables are usually drawn as vectors with no embedded raster, so extraction is region rendering, not pulling out an embedded image.\n- Output defaults to `{project-root}/images-from-papers/` as `{paper-filename-base}-fig{N}.png` / `{paper-filename-base}-table{N}.png`. The extraction list is recorded in `{base}-manifest.json` in the same directory.\n- A multi-panel float (e.g. one Table float that contains panels (a)–(f)) is extracted as a single image, matching the single float in the paper.\n- After extraction, insert the images from `images-from-papers/` into the deliverable. In `.md`, reference them by relative path, e.g. `![Figure N](../images-from-papers/{base}-fig{N}.png)`. In an HTML deliverable created with `html`, embedding as a base64 data URI is acceptable.\n- Add the translated caption as a separate paragraph below the image. The caption text inside the image stays in the original language (it is not redrawn), so the translation goes outside the image.\n- If the script occasionally drops a figure/table or includes too much margin, raise `--dpi` or inspect the output and adjust the pymupdf clip rectangle for that item. Either way, do not abandon the image-extraction approach.\n\n## 2. Quotation and source reference\n\n### 2.0 Output is built around translated quotation blocks\n\nBuild the explainer primarily out of \"original quotation + translation\" blocks that cover the paper's body in full. Do not make summarised, paraphrased prose the main act. Keep the reader able to check the original against the translation throughout the document.\n\nProse — the writer's own text — is a complement to the quotation-led flow, added only when one of the following holds:\n\n- The connection between quotation blocks is unclear, and the relationship or logical flow between sections or paragraphs needs bridging.\n- A supplementary explanation — variable definitions, prerequisite knowledge, how to read a figure or table, the first-occurrence definition of a term — is genuinely useful to the reader.\n\nWhere neither holds, do not re-summarise the original in prose; let the quotation block speak for itself. Do not settle into a \"quotes carry the gist, prose summarises\" split.\n\nTo convey the paper's claims accurately, include direct quotations from the original. A summary alone does not let the reader judge whether the writer's interpretation is correct.\n\nWithin the `[label (YYYY/MM), location]` structure defined in `documenting-with-sources`, the `paper-details` skill fills the label slot differently depending on which work is referenced.\n\n### Reference to the paper under review\n\nWhen referring to the paper under review, omit the author and year and cite the position only, in the form `[p.X, Section Y.Z]`. Since the entire explainer is about a single paper, the author does not need to be repeated each time.\n\nExamples: `[p.4, Section 1]`, `[p.21, (15)]`, `[p.31, Figure 2]`.\n\n### Reference to other works\n\nFor other works that the paper cites, use `[author-short (YYYY)]` inline.\n\n- Pin location with a section, page, table, or figure number.\n- Do not abbreviate the list of cited works with phrases like \"...and others\". List each work individually with its author and year. The reader of the explainer depends on this list — citing the explainer's host paper alone does not substitute for naming the works the paper references.\n\n## 3. Equations\n\n### 3.1 Syntax\n\n- Equations are written in LaTeX. Inline as `$...$`, display as `$$...$$`.\n- Forbidden: putting equations inside a code block. Forbidden: writing equations in plain-text form, pseudo-code form, or anything other than LaTeX syntax.\n\n### 3.2 Variable definitions\n\nEvery symbol in an equation is unknown to the reader until it is defined. Before presenting an equation, define every variable and symbol that appears in it. Do not place an equation without its variable definitions in scope.\n\nIn equation-heavy sections (theory, method formalisation), put a variable table at the top of the section. Group variables by role. Each entry includes:\n\n- The symbol (in LaTeX).\n- What it means (one sentence).\n- A note that helps intuition (concrete example, value range, behaviour in special cases).\n\nExample:\n\n```\nInputs:\n\n- $n$: number of characters in the input text. The length of the user's prompt.\n- $K$: the model's context-window length in characters. Inputs longer than this cannot be passed to the model directly.\n\nPlanner outputs:\n\n- $k^*$: branching factor at each level — how many chunks to split into. With $k^*=5$ the input is split into five chunks at each level.\n- $\\tau^*$: threshold below which the chunk is sent to the LLM as-is, without further splitting. With $\\tau^*=26{,}000$, chunks of 26,000 characters or fewer go straight to the LLM.\n```\n\nIn sections with few equations, defining variables in-line before and after each equation is acceptable — but the principle that no equation appears with undefined symbols still holds.\n\n## 4. Numerical results\n\n- Present experimental results in tables when possible.\n- Place the proposed method and baselines side by side.\n- Transcribe numbers exactly as they appear in the paper. Do not round or approximate.\n- Before showing the table, define each column and each metric in a preceding bullet list. By the time the reader sees the numbers, the meaning of each column is clear.\n- Do not use generic words like \"accuracy\" or \"performance\" loosely. Use the metric name the paper itself defines (classification accuracy, pass rate, pass@1, etc.).\n- If the same word is used in different senses across the paper (e.g. a method name that means \"the best single result\" in a table but \"the entire procedure\" in the body), call out the polysemy explicitly.\n\n## 5. Describing experiments\n\n### 5.1 Spell out the procedure\n\nIn experiment sections, the reader must be able to follow what was actually done. Do not omit:\n\n- The concrete task steps (what the input is, what each step produces, what the final output is).\n- The data-split structure (search set / validation set / test set — what each is for, and which result corresponds to which split).\n- The search or optimisation procedure (initial state, number of iterations, what each iteration generates, the criterion under which the final result is selected).\n\n### 5.2 Independence between sections\n\nEach experiment section reads on its own. Do not refer back to \"the method defined in Section X\" with an unspecified abbreviation. Even when two experiments share a search procedure, restate it with the experiment-specific parameters in each section.\n\n### 5.3 Consistent granularity\n\nWhen the paper has multiple experiment sections, keep the level of detail consistent across them. Do not write the search procedure thoroughly in one section and dismiss it in one sentence in another.\n\n### 5.4 Define concepts before use\n\nDefine every concept the first time it appears in the explainer, before using it. Do not omit concepts the paper itself defines. In particular, before presenting a table or a number, make sure every concept needed to read that number has already been defined.\n\n## 6. Source list\n\nPlace the source list at the end of the explainer, formatted per `documenting-with-sources`. In addition to the paper under review, include every other work the explainer mentions.\n\n## 7. Section-by-section subagent audit\n\nA first-pass draft typically contains errors that a single re-read misses: numbers transcribed off by a digit, citation numbers mapped to the wrong reference, sentences whose translated meaning drifts from the original, citations from the paper that never made it into the explainer. Before treating the draft as done, audit it section by section with subagents.\n\n### 7.1 Output location\n\nWrite audit results to `{cwd}/subagent-reviews/{NN-section-name}.md`, one file per section. Create the directory if it does not exist. Audits are separate artifacts from the explainer; do not put them under `reports/`.\n\n### 7.2 Sectioning\n\nSplit the explainer into independent units that align with the paper's section structure:\n\n- Abstract and bibliographic info (one unit)\n- Each top-level section of the paper body (Introduction, Background/Related Work, Method, Experiments, Limitations, Conclusion, etc.)\n- The source list at the end of the explainer\n\nLarger sections (e.g. an Experiments section with multiple sub-experiments and tables) can be split further if a single auditor would face too much material. Keep one auditor per file.\n\n### 7.3 Auditor brief\n\nSpawn one general-purpose subagent per section, in parallel. The brief tells each subagent to:\n\n1.","tagline":"Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citat","category":"research","tags":["agent-skill"],"author":"mathbullet","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"mathbullet/skills","creatorName":"mathbullet","creatorUrl":"https://github.com/mathbullet","sourceUrl":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/mathbullet-paper-details#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":119,"forks":3,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":38.1},"quality":{"score":68,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"119","tone":"neutral"},{"label":"Freshness","value":"4d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment."]},"trust":{"version":"trust-score-v5","score":66,"base_score":74,"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":["66/100 Trust Score v5","74/100 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":"119 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":51,"weight":0.08,"status":"warn","detail":"119 stars, 3 forks; 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issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"4d 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":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add mathbullet/skills --skill paper-details"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details"},{"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 skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"119 GitHub stars","repoActivity":"119 stars, 3 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","install":"npx skills add mathbullet/skills --skill paper-details","installSafety":"standard package or runtime install path","permissionSurface":"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 mathbullet/skills --skill paper-details","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","4d since push","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 skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","Quality score needs review","Stars/forks activity: 119 stars, 3 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 mathbullet/skills --skill paper-details","trust_score":66,"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"],"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"],"knownRisks":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":74,"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":66,"base_score":74,"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":["66/100 Trust Score v5","74/100 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":"119 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":51,"weight":0.08,"status":"warn","detail":"119 stars, 3 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"4d 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":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add mathbullet/skills --skill paper-details"},{"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":86,"weight":0.07,"status":"pass","detail":"filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details"},{"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":"119 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"119 stars, 3 forks; 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ensure they are available in the agent environment.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"119 GitHub stars","repoActivity":"119 stars, 3 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","install":"npx skills add mathbullet/skills --skill paper-details","installSafety":"standard package or runtime install path","permissionSurface":"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 mathbullet/skills --skill paper-details","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","4d since push","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 skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; 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ensure they are available in the agent environment.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":74,"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":74,"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":"119 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":51,"weight":0.08,"status":"warn","detail":"119 stars, 3 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"4d 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":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add mathbullet/skills --skill paper-details"},{"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":86,"weight":0.07,"status":"pass","detail":"filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details"},{"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":"119 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"119 stars, 3 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"4d 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":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add mathbullet/skills --skill paper-details"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details"},{"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 skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata"],"evidence":{"stars":"119 GitHub stars","repoActivity":"119 stars, 3 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","install":"npx skills add mathbullet/skills --skill paper-details","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add mathbullet/skills --skill paper-details","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","4d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; 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ensure they are available in the agent environment.","Quality score needs review","Stars/forks activity: 119 stars, 3 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":59,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","59/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"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":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment."],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","59/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":72,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","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: Usable candidate, but the agent should surface permission and audit notes before installation.","The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","The script uses `uv run`, which requires the `uv` tool to be installed; this is not mentioned in SKILL.md.","Quality score needs review","Stars/forks activity: 119 stars, 3 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 paper-details before installing it in an agent workflow","research","RAG and knowledge workflows; 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ensure they are available in the agent environment."]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":59,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment."]},{"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":"4d since push","evidence":["4d since push"]},{"id":"permission_surface","label":"Permission surface","status":"pass","score":86,"required_for_auto_install":true,"detail":"filesystem or document access","evidence":["Browser automation: medium","Network access: medium","Filesystem 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/mathbullet-paper-details/evals","api":"/api/agent/evals?slug=mathbullet-paper-details","text":"/api/agent/evals?slug=mathbullet-paper-details&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"mathbullet-paper-details","name":"paper-details","description":"Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation.","category":"research","url":"https://www.openagentskill.com/skills/mathbullet-paper-details","repository":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","github_repo":"mathbullet/skills"},"suited_tasks":["RAG and knowledge workflows","Claude Code teams","builders willing to evaluate younger projects","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add mathbullet/skills --skill paper-details","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 mathbullet-paper-details"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"paper-details\" agent skill from https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details. 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: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation. 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\":\"mathbullet-paper-details\",\"task\":\"Install paper-details\",\"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 \"paper-details\" as a Claude Code skill from https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details. 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: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation. 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\":\"mathbullet-paper-details\",\"task\":\"Install paper-details\",\"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 \"paper-details\" from https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details 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: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation. 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\":\"mathbullet-paper-details\",\"task\":\"Install paper-details\",\"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/mathbullet-paper-details/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/mathbullet-paper-details"},"trust":{"score":74,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"119 GitHub stars","repoActivity":"119 stars, 3 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","install":"npx skills add mathbullet/skills --skill paper-details","installSafety":"standard package or runtime install path","permissionSurface":"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 skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","Quality score needs review","Stars/forks activity: 119 stars, 3 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":79,"risk_level":"needs_review","risk_label":"Needs review","warnings":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","The script uses `uv run`, which requires the `uv` tool to be installed; this is not mentioned in SKILL.md.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":68,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"4d 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 skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","No OpenAgentSkill engagement data yet","The script uses `uv run`, which requires the `uv` tool to be installed; this is not mentioned in SKILL.md.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use paper-details in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 74/100 Strong shortlist","Audit: 79/100 Needs review","Safety: 59/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"mathbullet-paper-details (paper-details)","install_command":"npx skills add mathbullet/skills --skill paper-details","risk_summary":"Needs review; Reviewed with permission notes; 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":"mathbullet-paper-details","task":"Use paper-details 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/mathbullet-paper-details","api":"https://www.openagentskill.com/api/agent/skills/mathbullet-paper-details","audit":"https://www.openagentskill.com/skills/mathbullet-paper-details/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=mathbullet-paper-details&task=Use%20paper-details%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20paper-details%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20paper-details%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/mathbullet-paper-details/install","manifest":"https://www.openagentskill.com/api/registry/manifest/mathbullet-paper-details"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"mathbullet-paper-details","name":"paper-details","description":"Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation.","category":"research","url":"https://www.openagentskill.com/skills/mathbullet-paper-details","repository":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","github_repo":"mathbullet/skills"},"suited_tasks":["RAG and knowledge workflows","Claude Code teams","builders willing to evaluate younger projects","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add mathbullet/skills --skill paper-details","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 mathbullet-paper-details"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"paper-details\" agent skill from https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details. 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: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation. 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\":\"mathbullet-paper-details\",\"task\":\"Install paper-details\",\"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 \"paper-details\" as a Claude Code skill from https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details. 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: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation. 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\":\"mathbullet-paper-details\",\"task\":\"Install paper-details\",\"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 \"paper-details\" from https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details 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: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation. 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\":\"mathbullet-paper-details\",\"task\":\"Install paper-details\",\"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/mathbullet-paper-details/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/mathbullet-paper-details"},"trust":{"score":74,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"119 GitHub stars","repoActivity":"119 stars, 3 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","install":"npx skills add mathbullet/skills --skill paper-details","installSafety":"standard package or runtime install path","permissionSurface":"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 skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","Quality score needs review","Stars/forks activity: 119 stars, 3 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":79,"risk_level":"needs_review","risk_label":"Needs review","warnings":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","The script uses `uv run`, which requires the `uv` tool to be installed; this is not mentioned in SKILL.md.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":68,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"4d 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 skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","No OpenAgentSkill engagement data yet","The script uses `uv run`, which requires the `uv` tool to be installed; this is not mentioned in SKILL.md.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use paper-details in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 74/100 Strong shortlist","Audit: 79/100 Needs review","Safety: 59/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"mathbullet-paper-details (paper-details)","install_command":"npx skills add mathbullet/skills --skill paper-details","risk_summary":"Needs review; Reviewed with permission notes; 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":"mathbullet-paper-details","task":"Use paper-details 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/mathbullet-paper-details","api":"https://www.openagentskill.com/api/agent/skills/mathbullet-paper-details","audit":"https://www.openagentskill.com/skills/mathbullet-paper-details/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=mathbullet-paper-details&task=Use%20paper-details%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20paper-details%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20paper-details%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/mathbullet-paper-details/install","manifest":"https://www.openagentskill.com/api/registry/manifest/mathbullet-paper-details"}},"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":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"research-agents","title":"Research agents"},{"slug":"document-processing","title":"Document processing"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add mathbullet/skills --skill paper-details","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":119,"starsLabel":"119","forks":3,"license":"MIT","qualityScore":68,"trustScore":74,"auditScore":79},"maintenance":{"status":"fresh","label":"4d since push","daysSincePush":4,"lastPushedAt":"2026-09-04T05:33:10+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","The script uses `uv run`, which requires the `uv` tool to be installed; this is not mentioned in SKILL.md.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata","Needs review"]},"coverageTags":["Research","RAG and knowledge","agent-skill"]},"audit":{"audit_score":79,"risk_level":"needs_review","risk_label":"Needs review","quality_score":68,"trust_score":74,"maintenance_score":100,"security_score":82,"install_score":92,"warnings":["The skill depends on external skills (documenting-with-sources and writing-quotation) which are not included in this submission; ensure they are available in the agent environment.","The script uses `uv run`, which requires the `uv` tool to be installed; this is not mentioned in SKILL.md.","Quality score needs review","Stars/forks activity: 119 stars, 3 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":14.55,"usage_score":0,"review_score":5.55,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"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"},{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"content-automation","title":"Content automation","url":"https://www.openagentskill.com/use-cases/content-automation"}],"stacks":[{"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"},{"slug":"web-data-pipeline","title":"Web data pipeline","url":"https://www.openagentskill.com/collections/web-data-pipeline"}],"install":"npx skills add mathbullet/skills --skill paper-details","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 mathbullet-paper-details","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 \"paper-details\" agent skill from https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details. 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: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation. 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\":\"mathbullet-paper-details\",\"task\":\"Install paper-details\",\"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 \"paper-details\" as a Claude Code skill from https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details. 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: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation. 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\":\"mathbullet-paper-details\",\"task\":\"Install paper-details\",\"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 \"paper-details\" from https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details 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: Produce a detailed Markdown explainer of an academic paper. The skill aims for faithful description, not critical review. Section structure mirrors the original paper, equations render as LaTeX with variable tables, citations to the paper under review use position only, and citations to other works use author-short form. Use when the user asks for a detailed paper write-up, a thorough paper explainer, or invokes \"paper details\". Depends on documenting-with-sources and writing-quotation. 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\":\"mathbullet-paper-details\",\"task\":\"Install paper-details\",\"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/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","github_repo":"mathbullet/skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/mathbullet-paper-details","repository":"https://github.com/mathbullet/skills/tree/main/plugins/paper-details/skills/paper-details","api":"/api/agent/skills/mathbullet-paper-details","install_api":"/api/skills/mathbullet-paper-details/install"},"meta":{"created_at":"2026-09-06T23:40:21.717524+00:00","updated_at":"2026-09-06T23:40:21.982195+00:00","agent_friendly":true}}