{"slug":"agentscope-ai-paper-review","name":"paper-review","description":"Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.","long_description":"---\nname: paper-review\ndescription: >\n Review academic papers for correctness, quality, and novelty using OpenJudge's\n multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip).\n Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics,\n psychology, environmental_science, mathematics, social_sciences.\n Use when the user asks to review, evaluate, critique, or assess a research paper,\n check references, or verify a BibTeX file.\n---\n\n# Paper Review Skill\n\nMulti-stage academic paper review using the OpenJudge `PaperReviewPipeline`:\n\n1. **Safety check** — jailbreak detection + format validation\n2. **Correctness** — objective errors (math, logic, data inconsistencies)\n3. **Review** — quality, novelty, significance (score 1–6)\n4. **Criticality** — severity of correctness issues\n5. **BibTeX verification** — cross-checks references against CrossRef/arXiv/DBLP\n\n## Prerequisites\n\n```bash\n# Install OpenJudge\npip install py-openjudge\n\n# Extra dependency for paper_review\npip install litellm\npip install pypdfium2 # only if using vision mode (use_vision_for_pdf=True)\n```\n\n## Gather from user before running\n\n| Info | Required? | Notes |\n|------|-----------|-------|\n| Paper file path | Yes | PDF or .tar.gz/.zip TeX package |\n| API key | Yes | Env var preferred: `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, etc. |\n| Model name | No | `gpt-5.2`, `anthropic/claude-opus-4-6`, `dashscope/qwen-vl-plus`. See **Model selection** below |\n| Discipline | No | If not given, uses general CS/ML-oriented prompts |\n| Venue | No | e.g. `\"NeurIPS 2025\"`, `\"The Lancet\"` |\n| Instructions | No | Free-form reviewer guidance, e.g. `\"Focus on experimental design\"` |\n| Language | No | `\"en\"` (default) or `\"zh\"` for Simplified Chinese output |\n| BibTeX file | No | Required only for reference verification |\n| CrossRef email | No | Improves API rate limits for BibTeX verification |\n\n## Quick start\n\nFile type is auto-detected: `.pdf` → PDF review, `.tar.gz`/`.zip` → TeX review, `.bib` → BibTeX verification.\n\n```bash\n# Basic PDF review\npython -m cookbooks.paper_review paper.pdf\n\n# With discipline and venue\npython -m cookbooks.paper_review paper.pdf \\\n --discipline cs --venue \"NeurIPS 2025\"\n\n# Chinese output\npython -m cookbooks.paper_review paper.pdf --language zh\n\n# Custom reviewer instructions\npython -m cookbooks.paper_review paper.pdf \\\n --instructions \"Focus on experimental design and reproducibility\"\n\n# PDF + BibTeX verification\npython -m cookbooks.paper_review paper.pdf \\\n --bib references.bib --email your@email.com\n\n# Vision mode (for models that prefer images over text extraction)\npython -m cookbooks.paper_review paper.pdf \\\n --vision --vision_max_pages 30 --format_vision_max_pages 10\n\n# TeX source package\npython -m cookbooks.paper_review paper_source.tar.gz \\\n --discipline biology --email your@email.com\n\n# TeX source package with Chinese output and custom instructions\npython -m cookbooks.paper_review paper_source.tar.gz \\\n --language zh --instructions \"This is a short paper, be concise\"\n\n# Verify a standalone BibTeX file\npython -m cookbooks.paper_review --bib_only references.bib --email your@email.com\n```\n\n## All options\n\n| Flag | Default | Description |\n|------|---------|-------------|\n| `input` (positional) | — | Path to PDF, TeX package, or .bib file |\n| `--bib_only` | — | Path to .bib file for standalone verification (no review) |\n| `--model` | `gpt-4o` | Model name |\n| `--api_key` | env var | API key |\n| `--base_url` | — | Custom API endpoint — must end at `/v1`, **not** `/v1/chat/completions` (litellm appends the path automatically) |\n| `--discipline` | — | Academic discipline |\n| `--venue` | — | Target conference/journal |\n| `--instructions` | — | Free-form reviewer guidance |\n| `--language` | `en` | Output language: `en` or `zh` |\n| `--bib` | — | Path to .bib file (for PDF review + reference verification) |\n| `--email` | — | CrossRef mailto for BibTeX check |\n| `--paper_name` | filename stem | Paper title in report |\n| `--output` | auto | Output .md report path |\n| `--no_safety` | off | Skip safety checks |\n| `--no_correctness` | off | Skip correctness check |\n| `--no_criticality` | off | Skip criticality verification |\n| `--no_bib` | off | Skip BibTeX verification |\n| `--vision` | **on** | Use vision mode (requires pypdfium2); enabled by default |\n| `--vision_max_pages` | `30` | Max pages in vision mode (0 = all) |\n| `--format_vision_max_pages` | `10` | Max pages for format check (0 = use `--vision_max_pages`) |\n| `--timeout` | `7500` | API timeout in seconds |\n\n## Interpreting results\n\n**Review score (1–6):**\n- 1–2: Reject (major flaws or well-known results)\n- 3: Borderline reject\n- 4: Borderline accept\n- 5–6: Accept / Strong accept\n\n**Correctness score (1–3):**\n- 1: No objective errors\n- 2: Minor errors (notation, arithmetic in non-critical parts)\n- 3: Major errors (wrong proofs, core algorithm flaws)\n\n**BibTeX verification:**\n- `verified`: found in CrossRef/arXiv/DBLP\n- `suspect`: title/author mismatch or not found — manual check recommended\n\n## Model selection\n\nThis pipeline uses [litellm](https://docs.litellm.ai/docs/providers) for model calls.\nProvider prefixes are handled automatically by the pipeline — see the table below.\n\n**IMPORTANT: The model MUST support multimodal (vision) input.** PDF review uses vision mode\n(`--vision`) to render pages as images, which requires a vision-capable model. Text-only models\nwill fail or produce empty reviews.\n\nThe `--model` value uses a `provider/model-name` convention so the pipeline knows\nwhich API endpoint to call. The table below shows the exact string to pass:\n\n| Provider | `--model` value | Env var | Notes |\n|----------|----------------|---------|-------|\n| OpenAI | `gpt-5.2`, `gpt-5-mini`, … | `OPENAI_API_KEY` | No prefix needed; `gpt-5.2` is the current flagship vision model; check [OpenAI models](https://platform.openai.com/docs/models) for the latest |\n| Anthropic | `anthropic/claude-opus-4-6`, `anthropic/claude-sonnet-4-6`, … | `ANTHROPIC_API_KEY` | Use `anthropic/` prefix; `claude-opus-4-6` is the current flagship; check [Anthropic models](https://docs.anthropic.com/en/docs/about-claude/models) for the latest |\n| DashScope (Qwen) | `dashscope/qwen-vl-plus`, `dashscope/qwen-vl-max`, … | `DASHSCOPE_API_KEY` | Use `dashscope/` prefix; the pipeline auto-routes to DashScope’s OpenAI-compatible endpoint |\n| Custom endpoint | bare model name | `--api_key` + `--base_url` | Use the model name your endpoint expects; no prefix needed when `--base_url` is set |\n\n> **Note on prefixes**: The `dashscope/` and `anthropic/` prefixes are interpreted by\n> the pipeline itself — do **not** add them to the actual API key or base URL.\n> For OpenAI models the bare model name (e.g. `gpt-5.2`) is sufficient.\n\n**If the user does not specify a model**, choose one based on available API keys:\n1. `DASHSCOPE_API_KEY` set → use `dashscope/qwen-vl-plus` (vision-capable)\n2. `OPENAI_API_KEY` set → search web for the latest vision-capable OpenAI model and use it (currently `gpt-5.2`)\n3. `ANTHROPIC_API_KEY` set → search web for the latest vision-capable Anthropic model and use it with `anthropic/` prefix (currently `anthropic/claude-opus-4-6`)\n\n**Vision mode is enabled by default for PDF review.** Pages are rendered as images, which\npreserves formatting, figures, and tables. To disable, pass `--no_vision` (not recommended).\nThe model **must** support multimodal (vision) input.\n\n## Additional resources\n\n- Full `PipelineConfig` options: [reference.md](reference.md)\n- Discipline details and venues: [reference.md](reference.md#disciplines)\n\n## Troubleshooting API errors\n\n**CRITICAL: When the pipeline fails with an API error, you MUST diagnose and fix the root cause.\nDo NOT fall back to reading the PDF as plain text yourself and calling the API manually —\nthis bypasses the entire review pipeline and produces incorrect, incomplete results.**\n\nDiagnose by reading the full error message, then follow the checklist below:\n\n### AuthenticationError / 401\n- The API key is wrong or not set.\n- Check the correct env var for the provider (see **Model selection** table).\n- For DashScope: `echo $DASHSCOPE_API_KEY` — must be non-empty.\n- Fix: export the correct key and re-run.\n\n### NotFoundError / 404 — model not found\n- The model name string is wrong.\n- Search the web for the provider's current model list and use the exact API ID.\n- Common mistakes: using a ChatGPT UI name instead of the API ID, outdated snapshot suffix.\n- Fix: correct `--model` and re-run.\n\n### BadRequestError / 400\n- Often caused by `--base_url` ending with `/v1/chat/completions` instead of `/v1`.\n litellm appends the path automatically — strip everything after `/v1`.\n- May also indicate the model does not support vision/image input.\n Use a vision-capable model (see **Model selection**) or omit `--vision`.\n- Fix: correct `--base_url` or switch to a vision-capable model and re-run.\n\n### Connection error / endpoint not reachable\n- `--base_url` points to the wrong host or port.\n- Test the endpoint first: `curl /models -H \"Authorization: Bearer \"`\n- Fix: correct `--base_url` to the reachable endpoint and re-run.\n\n### Timeout\n- The model is taking too long (common for long PDFs with vision mode).\n- Fix: increase `--timeout` (default 7500 s) or reduce `--vision_max_pages`.\n\n### After fixing, always re-run the full pipeline command.\nNever summarise or interpret the paper yourself as a substitute for a failed pipeline run.\n","tagline":"Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. 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This could confuse users about whether pypdfium2 is required by default.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":66,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v4":{"version":"trust-score-v4","score":66,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection.","recommendedAction":"Inspect the repository, license, and recent activity before connecting it to agent workflows.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":76,"weight":0.13,"status":"info","detail":"816 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"816 stars, 65 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"1mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"Apache-2.0"},{"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":36,"weight":0.12,"status":"fail","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add agentscope-ai/OpenJudge --skill paper-review"},{"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":22,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review"},{"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":"816 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"816 stars, 65 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"1mo since push"},{"status":"pass","label":"License clarity","detail":"Apache-2.0"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"fail","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add agentscope-ai/OpenJudge --skill paper-review"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review"},{"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","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"evidence":{"stars":"816 GitHub stars","repoActivity":"816 stars, 65 forks","lastPushed":"1mo since push","license":"Apache-2.0","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review","install":"npx skills add agentscope-ai/OpenJudge --skill paper-review","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add agentscope-ai/OpenJudge --skill paper-review","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","1mo 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":["Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access"]},"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":["Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":30,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","summary":"This skill should not be selected by an agent without explicit human security review.","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","auto_install_policy":"block","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access"]},"auto_install_allowed":false,"human_review_required":true,"blocked":true,"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"},{"id":"secrets","label":"Secrets or environment access","reason":"Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.","severity":"high"}],"policy_warnings":["High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","auto_install_policy":"block","auto_install_allowed":false,"blocked":true,"human_review_required":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":63,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Agent safety gate: This skill should not be selected by an agent without explicit human security review.","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Agent safety gate: This skill should not be selected by an agent without explicit human security review.","Permission surface: secrets or environment access, shell or command execution"],"warnings":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit score: Needs review","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","The skill requires API keys and external API calls (LiteLLM, CrossRef, arXiv, DBLP), which may raise privacy or cost concerns, but these are standard for such tools and clearly documented.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access"],"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-review before installing it in an agent workflow","research","Research agents workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add agentscope-ai/OpenJudge --skill paper-review"]},{"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 agentscope-ai/OpenJudge --skill paper-review"]},{"id":"trust_score","label":"Trust score","status":"warn","score":66,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","816 GitHub stars","Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"warn","score":74,"required_for_auto_install":true,"detail":"Needs review","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"fail","score":30,"required_for_auto_install":true,"detail":"This skill should not be selected by an agent without explicit human security review.","evidence":["Do not auto-install. Inspect the source, dependencies, and permission surface first.","Metadata combines secrets access with 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":"Apache-2.0","evidence":["Apache-2.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":88,"required_for_auto_install":false,"detail":"1mo since push","evidence":["1mo since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":22,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","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/agentscope-ai-paper-review/evals","api":"/api/agent/evals?slug=agentscope-ai-paper-review","text":"/api/agent/evals?slug=agentscope-ai-paper-review&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"agentscope-ai-paper-review","name":"paper-review","description":"Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.","category":"research","url":"https://www.openagentskill.com/skills/agentscope-ai-paper-review","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review","github_repo":"agentscope-ai/OpenJudge"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add agentscope-ai/OpenJudge --skill paper-review","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 agentscope-ai-paper-review"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"paper-review\" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review. 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: Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"agentscope-ai-paper-review\",\"task\":\"Install paper-review\",\"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-review\" as a Claude Code skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review. 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: Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"agentscope-ai-paper-review\",\"task\":\"Install paper-review\",\"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-review\" from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review 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: Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"agentscope-ai-paper-review\",\"task\":\"Install paper-review\",\"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/agentscope-ai-paper-review/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/agentscope-ai-paper-review"},"trust":{"score":66,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"816 GitHub stars","repoActivity":"816 stars, 65 forks","lastPushed":"1mo since push","license":"Apache-2.0","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review","install":"npx skills add agentscope-ai/OpenJudge --skill paper-review","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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":["Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":74,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","The skill requires API keys and external API calls (LiteLLM, CrossRef, arXiv, DBLP), which may raise privacy or cost concerns, but these are standard for such tools and clearly documented.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":70,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"1mo since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision"],"agent_contract":{"task_input":"Use paper-review in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 66/100 Manual review","Audit: 74/100 Needs review","Safety: 30/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"agentscope-ai-paper-review (paper-review)","install_command":"npx skills add agentscope-ai/OpenJudge --skill paper-review","risk_summary":"Needs review; Blocked for auto-install; 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":"","skill_slug":"agentscope-ai-paper-review","task":"Use paper-review 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/agentscope-ai-paper-review","api":"https://www.openagentskill.com/api/agent/skills/agentscope-ai-paper-review","audit":"https://www.openagentskill.com/skills/agentscope-ai-paper-review/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=agentscope-ai-paper-review&task=Use%20paper-review%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20paper-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20paper-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/agentscope-ai-paper-review/install","manifest":"https://www.openagentskill.com/api/registry/manifest/agentscope-ai-paper-review"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"agentscope-ai-paper-review","name":"paper-review","description":"Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file.","category":"research","url":"https://www.openagentskill.com/skills/agentscope-ai-paper-review","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review","github_repo":"agentscope-ai/OpenJudge"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Navigate pages","Click and type safely"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add agentscope-ai/OpenJudge --skill paper-review","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 agentscope-ai-paper-review"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"paper-review\" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review. 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: Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"agentscope-ai-paper-review\",\"task\":\"Install paper-review\",\"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-review\" as a Claude Code skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review. 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: Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"agentscope-ai-paper-review\",\"task\":\"Install paper-review\",\"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-review\" from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review 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: Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"agentscope-ai-paper-review\",\"task\":\"Install paper-review\",\"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/agentscope-ai-paper-review/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/agentscope-ai-paper-review"},"trust":{"score":66,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"816 GitHub stars","repoActivity":"816 stars, 65 forks","lastPushed":"1mo since push","license":"Apache-2.0","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review","install":"npx skills add agentscope-ai/OpenJudge --skill paper-review","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","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":["Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":74,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","The skill requires API keys and external API calls (LiteLLM, CrossRef, arXiv, DBLP), which may raise privacy or cost concerns, but these are standard for such tools and clearly documented.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":70,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"1mo since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision"],"agent_contract":{"task_input":"Use paper-review in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 66/100 Manual review","Audit: 74/100 Needs review","Safety: 30/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"agentscope-ai-paper-review (paper-review)","install_command":"npx skills add agentscope-ai/OpenJudge --skill paper-review","risk_summary":"Needs review; Blocked for auto-install; 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":"","skill_slug":"agentscope-ai-paper-review","task":"Use paper-review 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/agentscope-ai-paper-review","api":"https://www.openagentskill.com/api/agent/skills/agentscope-ai-paper-review","audit":"https://www.openagentskill.com/skills/agentscope-ai-paper-review/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=agentscope-ai-paper-review&task=Use%20paper-review%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20paper-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20paper-review%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/agentscope-ai-paper-review/install","manifest":"https://www.openagentskill.com/api/registry/manifest/agentscope-ai-paper-review"}},"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":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"browser-automation","title":"Browser automation"},{"slug":"document-processing","title":"Document processing"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add agentscope-ai/OpenJudge --skill paper-review","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":816,"starsLabel":"816","forks":65,"license":"Apache-2.0","qualityScore":70,"trustScore":66,"auditScore":74},"maintenance":{"status":"active","label":"1mo since push","daysSincePush":33,"lastPushedAt":"2026-08-03T13:42:53+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","The skill requires API keys and external API calls (LiteLLM, CrossRef, arXiv, DBLP), which may raise privacy or cost concerns, but these are standard for such tools and clearly documented."]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":74,"risk_level":"needs_review","risk_label":"Needs review","quality_score":70,"trust_score":66,"maintenance_score":88,"security_score":70,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","Inconsistency between SKILL.md and reference.md regarding vision mode default: SKILL.md says --vision is on by default, while reference.md lists use_vision_for_pdf default as False. This could confuse users about whether pypdfium2 is required by default.","The skill requires API keys and external API calls (LiteLLM, CrossRef, arXiv, DBLP), which may raise privacy or cost concerns, but these are standard for such tools and clearly documented.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"quality_signals":{"model":"v2","star_score":20.39,"usage_score":0,"review_score":4.95,"metadata_score":3,"freshness_score":12},"platforms":["Claude Code","OpenAI Agents"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"web-data-pipeline","title":"Web data pipeline","url":"https://www.openagentskill.com/collections/web-data-pipeline"}],"install":"npx skills add agentscope-ai/OpenJudge --skill paper-review","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 agentscope-ai-paper-review","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-review\" agent skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review. 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: Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"agentscope-ai-paper-review\",\"task\":\"Install paper-review\",\"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-review\" as a Claude Code skill from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review. 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: Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"agentscope-ai-paper-review\",\"task\":\"Install paper-review\",\"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-review\" from https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review 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: Review academic papers for correctness, quality, and novelty using OpenJudge's multi-stage pipeline. Supports PDF files and LaTeX source packages (.tar.gz/.zip). Covers 10 disciplines: cs, medicine, physics, chemistry, biology, economics, psychology, environmental_science, mathematics, social_sciences. Use when the user asks to review, evaluate, critique, or assess a research paper, check references, or verify a BibTeX file. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"agentscope-ai-paper-review\",\"task\":\"Install paper-review\",\"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/agentscope-ai/OpenJudge/tree/main/skills/paper-review","github_repo":"agentscope-ai/OpenJudge","version":"1.0.0","license":"Apache-2.0","urls":{"web":"https://www.openagentskill.com/skills/agentscope-ai-paper-review","repository":"https://github.com/agentscope-ai/OpenJudge/tree/main/skills/paper-review","api":"/api/agent/skills/agentscope-ai-paper-review","install_api":"/api/skills/agentscope-ai-paper-review/install"},"meta":{"created_at":"2026-09-05T01:04:46.440952+00:00","updated_at":"2026-09-05T01:04:46.715133+00:00","agent_friendly":true}}