{"eval":{"version":"openagentskill-skill-eval-v1","slug":"yuan1z0825-nature-paper-card","name":"nature-paper-card","generated_at":"2026-09-05T08:52:41.920Z","task_input":"Evaluate nature-paper-card before installing it in an AI agent workflow","status":"review","score":83,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Review the audit page, then allow agent install in a sandboxed workflow.","auto_install_allowed":false,"policy":"review","human_review_required":true},"task_fit":{"score":94,"suited_tasks":["Document processing workflows","Claude Code teams","teams that value GitHub adoption signals","Read uploaded files","Extract structured fields","Prepare clean context for downstream agents","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"install":{"command":"npx skills add Yuan1z0825/nature-skills --skill nature-paper-card","ready":true,"policy":"review","safety_label":"Review before install","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 yuan1z0825-nature-paper-card"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"nature-paper-card\" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-paper-card. 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: Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing. 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\":\"yuan1z0825-nature-paper-card\",\"task\":\"Install nature-paper-card\",\"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 \"nature-paper-card\" as a Claude Code skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-paper-card. 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: Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing. 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\":\"yuan1z0825-nature-paper-card\",\"task\":\"Install nature-paper-card\",\"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 \"nature-paper-card\" from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-paper-card 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: Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing. 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\":\"yuan1z0825-nature-paper-card\",\"task\":\"Install nature-paper-card\",\"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."}]},"trust":{"score":80,"label":"Strong shortlist","version":"trust-score-v4","evidence":{"stars":"39K GitHub stars","repoActivity":"39K stars, 2.1K forks","lastPushed":"4d since push","license":"Apache-2.0","repository":"https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-paper-card","install":"npx skills add Yuan1z0825/nature-skills --skill nature-paper-card","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, database access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":88,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured.","The skill requires external Python dependencies (e.g., PDF libraries) which are not explicitly listed in SKILL.md, but the manifest and workflow imply they are available in the environment."]},"safety_gate":{"score":68,"tier":"reviewed","label":"Reviewed","auto_install_policy":"review","blocked":false,"permission_hints":[{"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":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured."]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate nature-paper-card before installing it in an AI agent workflow","security","Document processing 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 Yuan1z0825/nature-skills --skill nature-paper-card"]},{"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 Yuan1z0825/nature-skills --skill nature-paper-card"]},{"id":"trust_score","label":"Trust score","status":"warn","score":80,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","39K GitHub stars","Apache-2.0"]},{"id":"audit_score","label":"Audit score","status":"pass","score":88,"required_for_auto_install":true,"detail":"Safe to try","evidence":["The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured."]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":68,"required_for_auto_install":true,"detail":"Good audit and safety signals with no high-risk permission hints in public metadata.","evidence":["Review the audit page, then allow agent install in a sandboxed workflow.","Safe-to-try audit"]},{"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":100,"required_for_auto_install":false,"detail":"4d since push","evidence":["4d since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":74,"required_for_auto_install":true,"detail":"filesystem or document access, database access","evidence":["Network access: medium","Filesystem access: medium","Database access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"pass","score":82,"required_for_auto_install":false,"detail":"Alternative skills are available for comparison.","evidence":["wazuh-wazuh","soxoj-maigret","projectdiscovery-nuclei","infisical-infisical"]}],"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Agent safety gate: Good audit and safety signals with no high-risk permission hints in public metadata.","Permission surface: filesystem or document access, database access","The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured.","The skill requires external Python dependencies (e.g., PDF libraries) which are not explicitly listed in SKILL.md, but the manifest and workflow imply they are available in the environment."],"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."],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured.","The skill requires external Python dependencies (e.g., PDF libraries) which are not explicitly listed in SKILL.md, but the manifest and workflow imply they are available in the environment.","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"],"alternatives":[{"slug":"wazuh-wazuh","name":"Wazuh","url":"https://www.openagentskill.com/skills/wazuh-wazuh","stars":16271,"install_command":"npx skills add wazuh/wazuh","trust_score":88,"audit_score":90},{"slug":"soxoj-maigret","name":"Maigret","url":"https://www.openagentskill.com/skills/soxoj-maigret","stars":32920,"install_command":"npx skills add soxoj/maigret","trust_score":87,"audit_score":90},{"slug":"projectdiscovery-nuclei","name":"Nuclei","url":"https://www.openagentskill.com/skills/projectdiscovery-nuclei","stars":29159,"install_command":"npx skills add projectdiscovery/nuclei","trust_score":92,"audit_score":93},{"slug":"infisical-infisical","name":"Infisical","url":"https://www.openagentskill.com/skills/infisical-infisical","stars":27445,"install_command":"npx skills add Infisical/infisical","trust_score":82,"audit_score":87}],"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"yuan1z0825-nature-paper-card","name":"nature-paper-card","description":"Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing.","category":"security","url":"https://www.openagentskill.com/skills/yuan1z0825-nature-paper-card","repository":"https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-paper-card","github_repo":"Yuan1z0825/nature-skills"},"suited_tasks":["Document processing workflows","Claude Code teams","teams that value GitHub adoption signals","Read uploaded files","Extract structured fields","Prepare clean context for downstream agents","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add Yuan1z0825/nature-skills --skill nature-paper-card","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 yuan1z0825-nature-paper-card"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"nature-paper-card\" agent skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-paper-card. 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: Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing. 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\":\"yuan1z0825-nature-paper-card\",\"task\":\"Install nature-paper-card\",\"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 \"nature-paper-card\" as a Claude Code skill from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-paper-card. 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: Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing. 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\":\"yuan1z0825-nature-paper-card\",\"task\":\"Install nature-paper-card\",\"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 \"nature-paper-card\" from https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-paper-card 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: Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing. 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\":\"yuan1z0825-nature-paper-card\",\"task\":\"Install nature-paper-card\",\"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/yuan1z0825-nature-paper-card/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/yuan1z0825-nature-paper-card"},"trust":{"score":80,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"39K GitHub stars","repoActivity":"39K stars, 2.1K forks","lastPushed":"4d since push","license":"Apache-2.0","repository":"https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-paper-card","install":"npx skills add Yuan1z0825/nature-skills --skill nature-paper-card","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, database 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":["security","agent-skill"],"known_risks":["The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured."]},"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":88,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured.","The skill requires external Python dependencies (e.g., PDF libraries) which are not explicitly listed in SKILL.md, but the manifest and workflow imply they are available in the environment."]},"safety_gate":{"tier":"reviewed","label":"Reviewed","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow."},"quality":{"score":92,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Document processing","maintenance":"4d since push","risk":"Safe to try"},"alternative_skills":[{"slug":"wazuh-wazuh","name":"Wazuh","url":"https://www.openagentskill.com/skills/wazuh-wazuh","stars":16271,"install_command":"npx skills add wazuh/wazuh","trust_score":88,"audit_score":90},{"slug":"soxoj-maigret","name":"Maigret","url":"https://www.openagentskill.com/skills/soxoj-maigret","stars":32920,"install_command":"npx skills add soxoj/maigret","trust_score":87,"audit_score":90},{"slug":"projectdiscovery-nuclei","name":"Nuclei","url":"https://www.openagentskill.com/skills/projectdiscovery-nuclei","stars":29159,"install_command":"npx skills add projectdiscovery/nuclei","trust_score":92,"audit_score":93},{"slug":"infisical-infisical","name":"Infisical","url":"https://www.openagentskill.com/skills/infisical-infisical","stars":27445,"install_command":"npx skills add Infisical/infisical","trust_score":82,"audit_score":87}],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The SKILL.md excerpt is truncated, so the full workflow and core file contents were not reviewed, but the visible portions are clear and structured.","The skill requires external Python dependencies (e.g., PDF libraries) which are not explicitly listed in SKILL.md, but the manifest and workflow imply they are available in the environment.","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"],"agent_contract":{"task_input":"Evaluate nature-paper-card before installing it in an AI agent workflow","recommended_action":"Review the audit page, then allow agent install in a sandboxed workflow.","install_policy":"review","minimum_review_before_use":["Trust: 80/100 Strong shortlist","Audit: 88/100 Safe to try","Safety: 68/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"yuan1z0825-nature-paper-card (nature-paper-card)","install_command":"npx skills add Yuan1z0825/nature-skills --skill nature-paper-card","risk_summary":"Safe to try; Reviewed; 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":"yuan1z0825-nature-paper-card","task":"Evaluate nature-paper-card before installing it in an AI 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/yuan1z0825-nature-paper-card","api":"https://www.openagentskill.com/api/agent/skills/yuan1z0825-nature-paper-card","audit":"https://www.openagentskill.com/skills/yuan1z0825-nature-paper-card/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=yuan1z0825-nature-paper-card&task=Evaluate%20nature-paper-card%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20nature-paper-card%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20nature-paper-card%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/yuan1z0825-nature-paper-card/install","manifest":"https://www.openagentskill.com/api/registry/manifest/yuan1z0825-nature-paper-card"}},"endpoints":{"web":"https://www.openagentskill.com/skills/yuan1z0825-nature-paper-card","api":"https://www.openagentskill.com/api/agent/skills/yuan1z0825-nature-paper-card","eval":"https://www.openagentskill.com/api/agent/evals?slug=yuan1z0825-nature-paper-card","audit":"https://www.openagentskill.com/skills/yuan1z0825-nature-paper-card/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20nature-paper-card%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium"}},"meta":{"endpoint":"/api/agent/evals","mode":"skill_eval","purpose":"Pre-install eval contract for a single skill. Agents should read this before installing a reusable skill.","generated_at":"2026-09-05T08:52:41.920Z"}}