{"slug":"ar9av-wiki-agent","name":"wiki-agent","description":"Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\".","long_description":"---\nname: wiki-agent\ndescription: >\n Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user\n invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a\n search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds\n sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a\n synthesized answer immediately usable in the current session. Primary use case: you're working in\n agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving.\n Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\",\n \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\".\n---\n\n# Wiki Agent — Targeted Cross-Agent History Search + Ingest\n\nYou are doing a **query-driven targeted ingest** from one specific AI agent's raw conversation history. The user is typically working in a *different* agent right now and wants to pull in context from another agent's past sessions.\n\nThis is not bulk ingest. You find sessions about a specific topic, extract the relevant blobs, distill them into the wiki, and return a synthesized answer the user can act on immediately.\n\n## Command Routing\n\nParse the invocation to determine the target agent and optional query:\n\n| Command | Target | Example |\n|---|---|---|\n| `/wiki-claude [query]` | Claude Code history | `/wiki-claude \"how did I set up auth middleware\"` |\n| `/wiki-codex [query]` | Codex CLI history | `/wiki-codex \"rust ownership patterns\"` |\n| `/wiki-hermes [query]` | Hermes agent history | `/wiki-hermes \"memory architecture\"` |\n| `/wiki-openclaw [query]` | OpenClaw history | `/wiki-openclaw \"project planning approach\"` |\n| `/wiki-copilot [query]` | Copilot chat history | `/wiki-copilot \"test strategy for API routes\"` |\n| `/wiki-pi [query]` | Pi agent history | `/wiki-pi \"how did I refactor the auth module\"` |\n\nIf no query is given, default to **recent sessions mode**: ingest the last 5 unprocessed sessions from that agent and return a summary of what was found. This is equivalent to a focused `wiki-history-ingest` for that agent only.\n\n## Before You Start\n\n**Writing profile:** Before drafting or rewriting natural-language Markdown, read and apply the `Writing Profile Resolution` section in `llm-wiki/SKILL.md`. Framework schema, provenance, safety, and operation-specific requirements take precedence.\n`WRITING.md` preferences apply only to newly drafted or rewritten natural-language Markdown; preserve source content and structured records.\n\n1. **Resolve config** — follow the Config Resolution Protocol in `llm-wiki/SKILL.md` (inline `@name` override → walk up CWD for `.env` → global config → prompt setup). This gives `OBSIDIAN_VAULT_PATH`.\n2. Read `$OBSIDIAN_VAULT_PATH/.manifest.json` → know what's already ingested.\n3. Read `$OBSIDIAN_VAULT_PATH/hot.md` if it exists → warm context on recent wiki activity.\n\n---\n\n## Step 1: Locate the Agent's History Root\n\n| Agent | Default path | Config override |\n|---|---|---|\n| `claude` | `~/.claude` + `~/Library/Application Support/Claude/local-agent-mode-sessions/` | `CLAUDE_HISTORY_PATH` in `.env` |\n| `codex` | `~/.codex` | `CODEX_HISTORY_PATH` in `.env` |\n| `hermes` | `~/.hermes` | `HERMES_HOME` in env or `.env` |\n| `openclaw` | `~/.openclaw` | `OPENCLAW_HOME` in `.env` |\n| `copilot` | `~/.copilot` | `COPILOT_HISTORY_PATH` in `.env` |\n| `pi` | `~/.pi/agent/sessions` | `PI_HISTORY_PATH` in `.env` |\n\nIf the history root doesn't exist, stop and tell the user: \"No `` history found at ``. Have you run `` on this machine? You can set a custom path with `` in `.env`.\"\n\n---\n\n## Step 2: Build Session Inventory\n\nUse the **cheapest index source** for each agent — don't open session files until you know which ones are relevant.\n\n### Claude\n```\nPrimary index: ~/.claude/projects/ (directories = projects, files = sessions)\nSession files: ~/.claude/projects/*/*.jsonl\nDesktop index: find ~/Library/Application Support/Claude/local-agent-mode-sessions -name \"local_*.json\"\nSignal fields: sessionId, cwd, startedAt, title (in local_*.json)\n```\nBuild a list of sessions: `{path, project_dir, modified_at, already_ingested}`.\n\n### Codex\n```\nPrimary index: ~/.codex/session_index.jsonl\nSession files: ~/.codex/sessions/**/rollout-*.jsonl\nSignal fields: thread_id, name/title, updated_at (in session_index.jsonl)\n```\nRead `session_index.jsonl` as the inventory. Each line: `{thread_id, name, updated_at}`. Map thread IDs to rollout files by matching directory names.\n\n### Hermes\n```\nPrimary index: ~/.hermes/memories/*.md (fast to scan)\nSession files: ~/.hermes/sessions/**/*.jsonl\nSignal fields: file names, memory titles, first 3 lines of each memory\n```\nScan memory filenames first (they're often titled by topic). Fall back to session listing.\n\n### OpenClaw\n```\nPrimary index: ~/.openclaw/workspace/memory/MEMORY.md (structured long-term memory)\nDaily notes: ~/.openclaw/workspace/memory/YYYY-MM-DD.md\nSession index: ~/.openclaw/agents/*/sessions/sessions.json\nSession files: ~/.openclaw/agents/*/sessions/*.jsonl\n```\nRead `MEMORY.md` sections first — it's the pre-compiled summary of everything. Daily notes give recency signal.\n\n### Copilot\n```\nPrimary index: session filenames / directory listing\nSession files: varies by client (VS Code: ~/.copilot/sessions/*.jsonl or similar)\nSignal fields: session timestamps, file names\n```\n\n### Pi\n```\nPrimary index: ~/.pi/agent/sessions/----/ directories\nSession files: ~/.pi/agent/sessions/----/_.jsonl\nSignal fields: cwd (decoded from dir name), session_info.name, timestamp in filename\n```\nScan session directories first. Decode `----` to get the working directory. Read the first line (session header) and any `session_info` entries for the session name. No separate index file — the filesystem is the index.\n\n---\n\n## Step 3: Score Sessions Against the Query\n\nIf a query was given, score each session in the inventory without opening full session files:\n\n1. **Name/title match** — does the session name or thread title contain the query terms? Score: +3\n2. **CWD/project match** — does the working directory suggest the right project? Score: +2\n3. **Recency** — apply exponential time decay with a 90-day half-life, as a multiplier on the match score rather than a bonus added to it:\n\n ```\n base = name_match(3) + cwd_match(2)\n score = base * (0.35 + 0.65 * 0.5 ** (age_days / 90))\n ```\n\n The 0.35 floor is deliberate: an old session that matches the query exactly must still outrank a recent one that barely matches, or the skill can never answer \"how did I first solve this?\". This is the same decay `session-brain` uses, so the two skills rank consistently.\n4. **Already ingested** — if this session was previously ingested and the wiki page already covers the query (check `hot.md` + `index.md`), flag as \"covered\" but still show in results\n\nSelect the **top 3–5 sessions** by score. If no query was given, select the 5 most recent unprocessed sessions.\n\n---\n\n## Step 4: Extract the Relevant Blob\n\nOpen each selected session file and extract only the content relevant to the query. **Do not read the full session if it's large — use targeted extraction.**\n\n### Per-Agent Extraction Strategy\n\n**Claude** (JSONL conversation):\n- Each line: `{role, content, timestamp, ...}`\n- Search with: `rg -i \"\" ` to find the relevant lines\n- Extract: the surrounding conversation window (10 lines before + 20 lines after each hit)\n- Special signal: tool calls (Read/Write/Bash/Edit) reveal what was actually done — extract these even without keyword matches if they're in the relevant window\n\n**Codex** (rollout JSONL):\n- Each line: `{type: \"session_meta|turn_context|event_msg|response_item\", ...}`\n- Filter to `type: \"event_msg\"` (user turns) and `type: \"response_item\"` (model output)\n- Search with: `rg -i \"\" `\n- Extract: matching turns + their parent context (the `turn_context` preceding the match)\n- Skip: `session_meta` events (operational metadata, not knowledge)\n\n**Hermes** (memory files + session JSONL):\n- For memory files: read the full file (they're short — typically <500 words each)\n- For session JSONL: `rg -i \"\"` + surrounding window\n- Memory files with title matches → read fully; others → grep only\n\n**OpenClaw** (MEMORY.md + daily notes + session JSONL):\n- `MEMORY.md`: grep for section headers containing query terms → extract that section\n- Daily notes: grep most recent 30 days for query terms → extract matching paragraphs\n- Session JSONL: same grep-window approach as Claude\n- Prefer MEMORY.md/daily notes over session JSONL (they're pre-synthesized)\n\n**Copilot** (session JSONL):\n- Same grep-window approach as Claude\n- Look for checkpoint files if available (pre-summarized)\n\n**Pi** (structured JSONL with tree layout):\n- Each line is a tree entry: `{type, id, parentId, timestamp, message?, ...}`\n- Build the active branch: map entries by `id`, find leaf (last entry with no children), walk `parentId` to root\n- Search with: `rg -i \"\" ` to find matching entries\n- Extract: the matching entries + their ancestors on the active branch (follow parent chain)\n- Special signal: `toolCall` blocks inside assistant messages reveal what was actually done — extract these even without keyword matches if they're in the relevant window\n- Prefer `compaction` and `branch_summary` entries when available — they're pre-synthesized summaries\n- Skip `thinking` content blocks (noise) and `model_change` / `thinking_level_change` entries\n\n---\n\n## Step 5: Distill Blobs into Wiki Pages\n\nFor each extracted blob, determine where it belongs in the wiki:\n\n1. **Check if a wiki page already covers this** — grep `index.md` and page frontmatter for the topic. If yes, update the existing page rather than creating a new one.\n2. **Determine category** using standard rules (from `llm-wiki/SKILL.md`):\n - Technique / how-to → `skills/`\n - Abstract concept / pattern → `concepts/`\n - Tool / library / person → `entities/`\n - Cross-cutting insight → `synthesis/`\n3. **Write or update the page** with required frontmatter:\n ```yaml\n ---\n title: \n category: skill|concept|entity|synthesis\n tags: [tag1, tag2]\n sources: [://]\n created: \n updated: \n confidence: high|medium|low\n lifecycle: stable|draft\n ---\n ```\n Set `sources` with the agent prefix so `memory-bridge` can find it later.\n4. **Add cross-links** to related wiki pages found in `index.md`.\n\nDistillation rules (same as all ingest skills):\n- Extract durable knowledge, not operational telemetry\n- One wiki page per concept, not one per session\n- Merge into existing pages rather than duplicating\n- Keep the signal: decisions made, patterns discovered, techniques that worked, bugs explained\n\n---\n\n## Step 6: Return Synthesized Answer\n\nAfter ingesting, immediately synthesize and return an answer from the newly ingested + existing wiki content:\n\n```\n## From history: \"\"\n\n**Found in:** sessions ()\n\n**Key insights:**\n\n\n**Wiki pages updated/created:**\n- [[page-name]] — \n- [[page-name]] — \n\n**Sessions ingested:**\n| Session | Date | Relevance |\n|---------|------|-----------|\n| | | |\n\n**Gaps:** \n```\n\nIf a query was given but no relevant sessions were found, say so explicitly: \"No sessions about '' found in `` history. The most recent sessions covered: .\"\n\n---\n\n## Step 7: Update Tracking Files\n\nUpdate `.manifest.json` for each session fil","tagline":"Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests ever","category":"research","tags":["agent-skill"],"author":"Ar9av","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github fast track","sourceDetail":"Ar9av/obsidian-wiki","creatorName":"Ar9av","creatorUrl":"https://github.com/Ar9av","sourceUrl":"https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/ar9av-wiki-agent#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":3339,"forks":330,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":47.77},"quality":{"score":82,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"3.3K","tone":"positive"},{"label":"Freshness","value":"3d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":69,"base_score":77,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["69/100 Trust Score v5","77/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing 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Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["69/100 Trust Score v5","77/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing 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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":"3.3K GitHub stars","repoActivity":"3.3K stars, 330 forks","lastPushed":"3d since push","license":"MIT","repository":"https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent","install":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","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":true,"command":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is 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execution"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","trust_score":69,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"],"knownRisks":["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":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":77,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":86,"weight":0.13,"status":"pass","detail":"3.3K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":83,"weight":0.08,"status":"pass","detail":"3.3K stars, 330 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"3d 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":46,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent"},{"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":18,"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/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","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":"pass","label":"GitHub adoption","detail":"3.3K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"3.3K stars, 330 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"3d 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":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent"},{"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/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent"},{"status":"pass","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":["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":"3.3K GitHub stars","repoActivity":"3.3K stars, 330 forks","lastPushed":"3d since push","license":"MIT","repository":"https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent","install":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","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 Ar9av/obsidian-wiki --skill wiki-agent","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","3d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["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"]},"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"],"knownRisks":["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":39,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access","39/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"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"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"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":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access","39/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":72,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: secrets or environment access, shell or command execution","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: secrets or environment access, shell or command execution"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","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"],"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 wiki-agent 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 Ar9av/obsidian-wiki --skill wiki-agent"]},{"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 Ar9av/obsidian-wiki --skill wiki-agent"]},{"id":"trust_score","label":"Trust score","status":"warn","score":77,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","3.3K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":83,"required_for_auto_install":true,"detail":"Needs review","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":39,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","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":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"3d since push","evidence":["3d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":18,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/ar9av-wiki-agent/evals","api":"/api/agent/evals?slug=ar9av-wiki-agent","text":"/api/agent/evals?slug=ar9av-wiki-agent&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"ar9av-wiki-agent","name":"wiki-agent","description":"Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\".","category":"research","url":"https://www.openagentskill.com/skills/ar9av-wiki-agent","repository":"https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent","github_repo":"Ar9av/obsidian-wiki"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Summarize source material","Adapt tone for channels"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","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 ar9av-wiki-agent"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"wiki-agent\" agent skill from https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent. 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: Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"ar9av-wiki-agent\",\"task\":\"Install wiki-agent\",\"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 \"wiki-agent\" as a Claude Code skill from https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent. 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: Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"ar9av-wiki-agent\",\"task\":\"Install wiki-agent\",\"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 \"wiki-agent\" from https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent 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: Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"ar9av-wiki-agent\",\"task\":\"Install wiki-agent\",\"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/ar9av-wiki-agent/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/ar9av-wiki-agent"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"3.3K GitHub stars","repoActivity":"3.3K stars, 330 forks","lastPushed":"3d since push","license":"MIT","repository":"https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent","install":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","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":["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":83,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","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"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":82,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"3d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","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","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use wiki-agent in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 83/100 Needs review","Safety: 39/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"ar9av-wiki-agent (wiki-agent)","install_command":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"ar9av-wiki-agent","task":"Use wiki-agent 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/ar9av-wiki-agent","api":"https://www.openagentskill.com/api/agent/skills/ar9av-wiki-agent","audit":"https://www.openagentskill.com/skills/ar9av-wiki-agent/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=ar9av-wiki-agent&task=Use%20wiki-agent%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20wiki-agent%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20wiki-agent%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/ar9av-wiki-agent/install","manifest":"https://www.openagentskill.com/api/registry/manifest/ar9av-wiki-agent"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"ar9av-wiki-agent","name":"wiki-agent","description":"Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\".","category":"research","url":"https://www.openagentskill.com/skills/ar9av-wiki-agent","repository":"https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent","github_repo":"Ar9av/obsidian-wiki"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Summarize source material","Adapt tone for channels"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","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 ar9av-wiki-agent"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"wiki-agent\" agent skill from https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent. 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: Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"ar9av-wiki-agent\",\"task\":\"Install wiki-agent\",\"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 \"wiki-agent\" as a Claude Code skill from https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent. 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: Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"ar9av-wiki-agent\",\"task\":\"Install wiki-agent\",\"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 \"wiki-agent\" from https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent 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: Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"ar9av-wiki-agent\",\"task\":\"Install wiki-agent\",\"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/ar9av-wiki-agent/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/ar9av-wiki-agent"},"trust":{"score":77,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"3.3K GitHub stars","repoActivity":"3.3K stars, 330 forks","lastPushed":"3d since push","license":"MIT","repository":"https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent","install":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","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":["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":83,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","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"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":82,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"3d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","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","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use wiki-agent in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 77/100 Strong shortlist","Audit: 83/100 Needs review","Safety: 39/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"ar9av-wiki-agent (wiki-agent)","install_command":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"","skill_slug":"ar9av-wiki-agent","task":"Use wiki-agent 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/ar9av-wiki-agent","api":"https://www.openagentskill.com/api/agent/skills/ar9av-wiki-agent","audit":"https://www.openagentskill.com/skills/ar9av-wiki-agent/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=ar9av-wiki-agent&task=Use%20wiki-agent%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20wiki-agent%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20wiki-agent%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/ar9av-wiki-agent/install","manifest":"https://www.openagentskill.com/api/registry/manifest/ar9av-wiki-agent"}},"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":"content-automation","title":"Content automation"},{"slug":"local-desktop","title":"Local desktop"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":3339,"starsLabel":"3.3K","forks":330,"license":"MIT","qualityScore":82,"trustScore":77,"auditScore":83},"maintenance":{"status":"fresh","label":"3d since push","daysSincePush":3,"lastPushedAt":"2026-09-03T11:09:35+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","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"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":83,"risk_level":"needs_review","risk_label":"Needs review","quality_score":82,"trust_score":77,"maintenance_score":100,"security_score":76,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","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":24.67,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code","OpenAI Agents"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"content-automation","title":"Content automation","url":"https://www.openagentskill.com/use-cases/content-automation"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"document-processing","title":"Document processing","url":"https://www.openagentskill.com/use-cases/document-processing"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"web-data-pipeline","title":"Web data pipeline","url":"https://www.openagentskill.com/collections/web-data-pipeline"}],"install":"npx skills add Ar9av/obsidian-wiki --skill wiki-agent","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 ar9av-wiki-agent","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 \"wiki-agent\" agent skill from https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent. 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: Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"ar9av-wiki-agent\",\"task\":\"Install wiki-agent\",\"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 \"wiki-agent\" as a Claude Code skill from https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent. 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: Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"ar9av-wiki-agent\",\"task\":\"Install wiki-agent\",\"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 \"wiki-agent\" from https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent 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: Query-driven targeted ingest from a specific AI agent's raw history. Use this skill when the user invokes /wiki-claude, /wiki-codex, /wiki-hermes, /wiki-openclaw, /wiki-copilot, /wiki-pi — with or without a search topic. Different from wiki-history-ingest (which bulk-ingests everything new): this skill finds sessions about a SPECIFIC TOPIC in a specific agent's history and ingests just those, then returns a synthesized answer immediately usable in the current session. Primary use case: you're working in agent A and want to pull in how you solved X in agent B's history. Cross-referencing, not archiving. Also trigger on: \"what did I work on in codex about X\", \"search my claude sessions for Y\", \"pull in hermes knowledge about Z\", \"find that conversation where I did X in codex\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_\",\"skill_slug\":\"ar9av-wiki-agent\",\"task\":\"Install wiki-agent\",\"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/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent","github_repo":"Ar9av/obsidian-wiki","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/ar9av-wiki-agent","repository":"https://github.com/Ar9av/obsidian-wiki/tree/main/.skills/wiki-agent","api":"/api/agent/skills/ar9av-wiki-agent","install_api":"/api/skills/ar9av-wiki-agent/install"},"meta":{"created_at":"2026-09-02T10:42:16.420497+00:00","updated_at":"2026-09-04T02:30:20.042499+00:00","agent_friendly":true}}