{"slug":"alekseiul-research-intelligence","name":"research-intelligence","description":"Use when a Hermes agent must perform public-source research, source scouting, evidence grading, competitor/tool comparison, community-signal analysis, or decision-ready brief writing without private data or credentials.","long_description":"---\nname: research-intelligence\ndescription: Use when a Hermes agent must perform public-source research, source scouting, evidence grading, competitor/tool comparison, community-signal analysis, or decision-ready brief writing without private data or credentials.\nversion: 1.4.0\nauthor: Aleksei Ulianov / Sprut_AI\nlicense: MIT\nmetadata:\n  hermes:\n    tags: [research, public-source, evidence, osint-public, source-scouting, decision-briefs]\n    related_skills: [youtube-research-pack]\n---\n\n# Research Intelligence\n\n## Overview\n\nThis skill turns a Hermes agent into a careful public-source researcher. It is optimized for comparing tools, vendors, repositories, products, papers, market signals, community pain, and public claims.\n\nThe operating rule is simple: collect enough evidence for the decision, not enough links to look busy. Facts, weak signals, hypotheses, and interpretation must be kept separate when the answer affects money, risk, implementation, reputation, or public claims.\n\n## When to Use\n\nUse for:\n\n- tool, repository, model, vendor, or product comparison;\n- public GitHub/project traction checks;\n- official docs/changelog/release research;\n- community pain and adoption scouting;\n- public OSINT-style due diligence on companies, products, or public claims;\n- research briefs for implementation, purchase, positioning, or watch/reject decisions;\n- recurring watchlist design, but only when the user explicitly asks for monitoring.\n\nDo not use for:\n\n- private-account scraping;\n- bypassing login walls, paywalls, CAPTCHAs, or access controls;\n- collecting secrets, credentials, private exports, or personal data;\n- legal/medical/financial conclusions without qualified review;\n- public posting, registration, payment, joining, following, liking, DMing, or emailing without explicit approval.\n\n## Core Research Loop\n\n1. **Frame the decision.** Name the user decision: adopt, buy, compare, reject, watch, implement, contact, investigate, or hand off.\n2. **Choose the mode.** Use `references/research-modes.md` to select `quick_fact`, `deep_research`, `repo_tool`, `community_pain`, `live_visual`, or `monitoring_design`.\n3. **Build the source ladder.** Pick source classes before searching.\n4. **Ingest documents when needed.** For public PDFs, DOCX, PPTX, spreadsheets, HTML, EPUB, or inspected trusted document bundles, create a Markdown analysis copy with `markitdown-document-ingestion` before summarizing.\n5. **Collect dated facts.** Include timestamps for volatile data like stars, downloads, prices, package versions, and community metrics.\n6. **Group source lineages.** Copies, syndications, mirrors, and posts repeating one announcement count as one evidence lineage until independent reporting or data is shown.\n7. **Triangulate important claims.** Decision-relevant claims need primary or structured evidence plus another independent lineage when safely available.\n8. **Seek a counterexample.** Check failure terms, negative cases, limitations, and evidence that could change the decision.\n9. **Classify signal strength.** Use fact / claim / weak signal / hypothesis / interpretation.\n10. **Browser-check the shortlist.** Use a real browser, DOM extraction, or vision for dynamic/social/visual pages when live state matters.\n11. **Run the evidence gate.** Fix gaps or label limitations before final answer.\n12. **Return the next move.** A good brief ends with a practical action.\n\n## Mode Router\n\nChoose the smallest sufficient research mode before collecting sources. A one-fact check must not grow into a deep report, while a consequential or disputed decision must not be answered from snippets. The full mode contract and stop rules live in `references/research-modes.md`.\n\n## Source Lineage and Counterexamples\n\nSource count is not evidence count. Treat these as one lineage unless they add independently collected facts:\n\n- articles copying the same press release;\n- mirrors and syndicated posts;\n- social posts linking the same announcement;\n- multiple pages citing one benchmark without new measurements.\n\nFor every decision-relevant claim:\n\n1. identify the primary or structured source;\n2. identify another independent lineage when safely available;\n3. look for a concrete counterexample or record where you searched and found none;\n4. lower confidence when access gaps prevent that check.\n\nUse `tools/evidence_lineage_check.py` with a `research-run/v1` JSON artifact when a deep result must be repeatable or independently reviewed.\n\n```bash\npython3 tools/evidence_lineage_check.py examples/research-run-source-lineage.json --json\n```\n\n## Source Ladder\n\nUse the highest-value source classes first:\n\n1. **Primary sources:** official docs, repositories, changelogs, release notes, pricing pages, standards, papers, product pages, government/regulator pages.\n2. **Structured public data and documents:** GitHub API, npm/PyPI metadata, Docker tags, package registries, RSS/Atom, public JSON endpoints, datasets, PDFs, DOCX/PPTX/XLSX, CSVs, and inspected trusted document bundles converted to Markdown when useful.\n3. **Community ground truth:** Hacker News, Reddit, GitHub issues/discussions, forums, Stack Exchange, public Discord/Telegram mirrors only when accessible without login.\n4. **Search pivots:** exact phrases, domain searches, local-language terms, author names, repo names, company IDs, package names, error strings, quoted claims.\n5. **Browser verification:** real page state, dates, author identity, comments, visible metrics, UI, login wall, blocked state, screenshots, current context.\n\n## Safe Source-Reach Stack\n\nDefault source reach is zero-secret and read-only. Use public layers first and label degraded access instead of reaching for cookies.\n\nAllowed by default:\n\n- Hermes web search/extract for ordinary pages, docs, feeds, and public APIs.\n- Browser verification for live page state, visible metrics, comments, UI, visual context, and blocked/login-wall evidence.\n- Jina Reader URL mode for readable public pages.\n- `yt-dlp` metadata and public subtitle/transcript checks without cookies.\n- GitHub public web/API checks; authenticated `gh` is optional, not required.\n- Reddit public page/search/JSON when available, then old Reddit/Jina/search fallback.\n- RSS, Atom, public JSON, package registries, public documents, and official unauthenticated endpoints.\n\nApproval-gated:\n\n- GitHub login/token setup.\n- X/Twitter, Reddit OAuth/login/cookies, XHS, Bili, LinkedIn, WeChat, Weibo, Douyin, or similar account/session tools.\n- Exa/API-key tools, paid APIs, trials, payments, MCP registration, or local agent config mutation.\n- Browser cookie/profile extraction.\n- Join/follow/like/comment/post/reply/DM or any other account action.\n\n## YouTube research\n\nLoad `youtube-research-pack` when the task depends on YouTube search, channels,\nplaylists, video metadata, subtitles, comments, visual framing, or a persistent\nYouTube radar. Use `tools/youtube_research.py` for bounded quick work. The\noptional public `youtube-intelligence-stack` companion is the deep collector;\nit is not installed or authenticated automatically.\n\nKeep metadata, transcripts, comments, visuals, and external corroboration as\nseparate evidence layers. Missing subtitles or comments lower coverage but do\nnot invalidate independently verified metadata. Public comments may contain\npersonal identifiers: collect only when necessary and summarize themes without\nexporting author IDs or profile URLs.\n\nFor brittle public/social surfaces, include this block in the final brief when relevant:\n\n```text\nSource reach:\n- source classes used: web/browser/API/Jina/yt-dlp/RSS/etc.\n- access state: public / degraded / blocked / login_required\n- coverage gaps: transcripts/comments/search/API/rate-limit\n- approval needed: yes/no + exact reason\n- confidence impact: what evidence remains weak because of access limits\n```\n\nBefore serious research, run the optional local doctor from the repository root:\n\n```bash\npython3 tools/source_reach_doctor.py\n```\n\n## Document ingestion\n\nFor public research files, use the companion `markitdown-document-ingestion` skill when available. Convert documents into Markdown analysis copies before extracting claims or writing a brief.\n\nGood targets:\n\n- public PDFs, reports, papers, policy documents and manuals;\n- DOCX / PPTX / XLSX files supplied as public evidence;\n- HTML, CSV, JSON, XML, EPUB, and trusted small ZIP bundles only after size/file-count/path inspection.\n\nAfter conversion, record the ingestion state:\n\n```text\nDocument ingestion:\n- original: <file/source>\n- converted copy: <path if saved>\n- status: complete / partial / OCR-needed / degraded\n- caveat: <tables/pages/images/comments that may be missing>\n```\n\nThe original document remains source-of-truth. The Markdown copy is only for analysis. Scanned PDFs may need OCR; archives need provenance and path/size inspection; label those gaps instead of pretending full extraction succeeded.\n\n## Search Tactics\n\n- Search by use case and symptom, not only product names.\n- Use exact phrases from claims, README snippets, error messages, and pricing language.\n- Search negative terms: `not working`, `refund`, `scam`, `issue`, `complaint`, `lawsuit`, `broken`, `expensive`, `blocked`.\n- Search local-language variants where relevant.\n- For GitHub projects, check README, license, releases, issues, recent commits, package registries, and forks before judging traction.\n- For popularity claims, caveat stars/downloads as proxies, not proof of usage.\n\n## Evidence Gate\n\nBefore finalizing, answer:\n\n- What decision does this research support?\n- Which source classes were checked?\n- Which sources are primary or high-signal?\n- How many independent source lineages support the decision?\n- Did copied announcements or mirrors get collapsed into one lineage?\n- What is the strongest counterexample, or where was it sought?\n- What is fact vs interpretation?\n- Is the data fresh enough?\n- What is the main caveat?\n- What would change the answer?\n- What is the next move?\n\nVerdicts:\n\n- `PASS` — enough evidence for the decision.\n- `PASS_AFTER_FIX` — usable after small fixes already made.\n- `BLOCKED` — required evidence unavailable or coverage too weak.\n- `N/A` — not evidence-sensitive.\n\n## Output Templates\n\nFor quick answers:\n\n```text\nVerdict:\n- <one-line decision>\n\nEvidence:\n- <source/date/fact>\n- <source/date/fact>\n\nSource lineages:\n- <which pages belong to the same underlying source>\n\nCounterexample:\n- <strongest contrary case, or where it was sought>\n\nInterpretation:\n- <what it means>\n\nCaveat:\n- <main limitation>\n\nNext move:\n- <practical action>\n```\n\nFor deeper work, use `templates/research-brief.md` and `templates/source-ledger.md`.\n\n## Public OSINT Boundaries\n\nAllowed by default:\n\n- public web pages;\n- official APIs and feeds;\n- public repositories and package metadata;\n- public forums and comments visible without login;\n- public PDFs, documents, datasets, registries, and inspected trusted document bundles within the archive rules above;\n- browser verification of public pages.\n\nRequires explicit user approval:\n\n- login, signup, email/phone verification, 2FA, joining groups, following accounts;\n- paid access, trials, purchases, subscriptions;\n- using private cookies, private exports, private channel logs, or account sessions;\n- posting, commenting, liking, DMing, contacting people;\n- collecting sensitive personal data.\n\nForbidden:\n\n- bypassing access controls;\n- credential harvesting;\n- stealth scraping behind authentication;\n- doxxing or invasive personal profiling;\n- presenting unverified allegations as facts.\n\n## Common Pitfalls\n\n1. **Link dumps.** A list of links is not research. Synthesize into a decision.\n2. **Community post as truth.** Treat forums as experience signals until corroborated.\n3. **Stars as adoption proof.** Stars are attention, not usage.\n4. **No source freshness.** Volatile numbers need a collection date.\n5. **Ignoring blocked coverage.** Say `Reddit blocked`, `GitHub API rate-limited`, or `login wall` instead of hiding it.\n6. **","tagline":"Use when a Hermes agent must perform public-source research, source scouting, evidence grading, competitor/tool comparison, community-signal analysis, or decision-ready brief writing without private data or credentials.","category":"research","commerce":{"type":"unknown","billing":"unknown","amount":null,"currency":null,"sourceUrl":null,"checkedAt":null,"runtime":"unknown","purchaseUrl":null,"checkout":"external","purchaseRequiresUserConsent":true},"tags":["agent-skill"],"author":"Aleksei Ulianov / Sprut_AI","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"AlekseiUL/hermes-researcher-agent","creatorName":"Aleksei Ulianov / Sprut_AI","creatorUrl":"https://github.com/AlekseiUL","sourceUrl":"https://github.com/AlekseiUL/hermes-researcher-agent/tree/main/skills/research-intelligence","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/alekseiul-research-intelligence#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":51,"forks":6,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":35.41},"quality":{"score":61,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"51","tone":"neutral"},{"label":"Freshness","value":"1mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["The skill references the 'markitdown-document-ingestion' skill as a dependency but it is not included in the submitted repository; agents may need it installed separately."]},"trust":{"version":"trust-score-v5","score":53,"base_score":61,"outcome_confidence":0,"tier":"risk","label":"Do not auto-install","summary":"Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.","recommendedAction":"Choose a stronger alternative or inspect the source manually before any install attempt.","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":["53/100 Trust Score v5","61/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is missing","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":48,"weight":0.13,"status":"warn","detail":"51 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":43,"weight":0.08,"status":"warn","detail":"51 stars, 6 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":"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":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 AlekseiUL/hermes-researcher-agent --skill research-intelligence"},{"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/AlekseiUL/hermes-researcher-agent/tree/main/skills/research-intelligence"},{"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":"warn","label":"GitHub adoption","detail":"51 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"51 stars, 6 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"1mo 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":"fail","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add AlekseiUL/hermes-researcher-agent --skill research-intelligence"},{"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/AlekseiUL/hermes-researcher-agent/tree/main/skills/research-intelligence"},{"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":"pass","label":"OpenAgentSkill usage","detail":"2 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["Legacy review approval recorded","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 references the 'markitdown-document-ingestion' skill as a dependency but it is not included in the submitted repository; agents may need it installed separately.","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","GitHub adoption: 51 GitHub stars","Stars/forks activity: 51 stars, 6 forks; issue activity unavailable in current metadata","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"51 GitHub stars","repoActivity":"51 stars, 6 forks","lastPushed":"1mo since push","license":"MIT","repository":"https://github.com/AlekseiUL/hermes-researcher-agent/tree/main/skills/research-intelligence","install":"The tracked source changed or could not be synchronized. Review the current source before installing.","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","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":false,"command":null,"policy":"human_review_before_install","label":"Human review before install","notes":["The tracked source changed or could not be synchronized. Review the current source before installing.","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.","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 references the 'markitdown-document-ingestion' skill as a dependency but it is not included in the submitted repository; agents may need it installed separately.","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","GitHub adoption: 51 GitHub stars"]},"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":null,"trust_score":53,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["The skill references the 'markitdown-document-ingestion' skill as a dependency but it is not included in the submitted repository; agents may need it installed separately.","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","GitHub adoption: 51 GitHub stars","Stars/forks activity: 51 stars, 6 forks; issue activity unavailable in current metadata","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":61,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection."}}},"trust_score_v5":{"version":"trust-score-v5","score":53,"base_score":61,"outcome_confidence":0,"tier":"risk","label":"Do not auto-install","summary":"Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.","recommendedAction":"Choose a stronger alternative or inspect the source manually before any install attempt.","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":["53/100 Trust Score v5","61/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is missing","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":48,"weight":0.13,"status":"warn","detail":"51 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":43,"weight":0.08,"status":"warn","detail":"51 stars, 6 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":"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":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 AlekseiUL/hermes-researcher-agent --skill research-intelligence"},{"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/AlekseiUL/hermes-researcher-agent/tree/main/skills/research-intelligence"},{"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":"warn","label":"GitHub adoption","detail":"51 GitHub stars"},{"status":"warn","label":"Stars/forks activity","detail":"51 stars, 6 forks; 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