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Agent skill · Audited from source

wiki-agent

skill · ar9av/obsidian-wikiMIT licenceAudited 31 Oct 2026 · source 8bcf57f68146

★ 3,646pushed 4 days ago
!CAUTIONGrade B · 89/100 · 5 findings · 8bcf57f
3,646repo stars · whole ar9av/obsidian-wiki

Is it safe? With care — CAUTION, grade B (89/100). We read this skill's source at commit 8bcf57f68146 and found no filesystem, network or shell access and no hard-coded secrets. The audit raised 5 findings, 0 critical or high. What it does: Search one AI agent's raw history for a specific topic, ingest only matching sessions, and return a synthesized answer. Use for targeted cross-agent recall; use wiki-history-ingest for bulk archival ingestion.

Ask an AI about this pageGChatGPTCClaudePPerplexityGeGeminiXGrok
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Cite this page

ModelsAtlas. “wiki-agent (ar9av/obsidian-wiki)”. Retrieved 31 Oct 2026. https://modelsatlas.com/skills/ar9av/wiki-agent

Trust audit

Audit 0.4.1 · source read 31 Oct 2026

Trust score89/100!CAUTION B
0 critical0 high5 medium0 low0 info

CAUTION means the audit found things worth knowing before you trust this skill. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityWARN5
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (5)

Audit 0.4.1 · source sha 8bcf57f68146 · 31 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publisherar9av GitHub userOwner of the repository this skill is read from
  • Source folderar9av/obsidian-wiki/.skills/wiki-agentThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict8bcf57f68146A new audit runs when the source changes
  • Repository statusNot archivedLast push 4 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Search one AI agent's raw history for a specific topic, ingest only matching sessions, and return a synthesized answer. Use for targeted cross-agent recall; use wiki-history-ingest for bulk archival ingestion.

---
name: wiki-agent
description: >
  Search one AI agent's raw history for a specific topic, ingest only matching sessions, and return a synthesized answer. Use for targeted cross-agent recall; use wiki-history-ingest for bulk archival ingestion.
---

# Wiki Agent — Targeted Cross-Agent History Search + Ingest

You 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.

This 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.

## Command Routing

Parse the invocation to determine the target agent and optional query:

| Command | Target | Example |
|---|---|---|
| `/wiki-claude [query]` | Claude Code history | `/wiki-claude "how did I set up auth middleware"` |
| `/wiki-codex [query]` | Codex CLI history | `/wiki-codex "rust ownership patterns"` |
| `/wiki-hermes [query]` | Hermes agent history | `/wiki-hermes "memory architecture"` |
| `/wiki-openclaw [query]` | OpenClaw history | `/wiki-openclaw "project planning approach"` |
| `/wiki-copilot [query]` | Copilot chat history | `/wiki-copilot "test strategy for API routes"` |
| `/wiki-pi [query]` | Pi agent history | `/wiki-pi "how did I refactor the auth module"` |

If 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.

## Before You Start

**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.
`WRITING.md` preferences apply only to newly drafted or rewritten natural-language Markdown; preserve source content and structured records.

1. **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`.
2. Read `$OBSIDIAN_VAULT_PATH/.manifest.json` → know what's already ingested.
3. Read `$OBSIDIAN_VAULT_PATH/hot.md` if it exists → warm context on recent wiki activity.

---

## Step 1: Locate the Agent's History Root

| Agent | Default path | Config override |
|---|---|---|
| `claude` | `~/.claude` + `~/Library/Application Support/Claude/local-agent-mode-sessions/` | `CLAUDE_HISTORY_PATH` in `.env` |
| `codex` | `~/.codex` | `CODEX_HISTORY_PATH` in `.env` |
| `hermes` | `~/.hermes` | `HERMES_HOME` in env or `.env` |
| `openclaw` | `~/.openclaw` | `OPENCLAW_HOME` in `.env` |
| `copilot` | `~/.copilot` | `COPILOT_HISTORY_PATH` in `.env` |
| `pi` | `~/.pi/agent/sessions` | `PI_HISTORY_PATH` in `.env` |

If the history root doesn't exist, stop and tell the user: "No `<agent>` history found at `<path>`. Have you run `<agent>` on this machine? You can set a custom path with `<CONFIG_VAR>` in `.env`."

---

## Step 2: Build Session Inventory

Use the **cheapest index source** for each agent — don't open session files until you know which ones are relevant.

### Claude
```
Primary index:   ~/.claude/projects/  (directories = projects, files = sessions)
Session files:   ~/.claude/projects/*/*.jsonl
Desktop index:   find ~/Library/Application Support/Claude/local-agent-mode-sessions -name "local_*.json"
Signal fields:   sessionId, cwd, startedAt, title (in local_*.json)
```
Build a list of sessions: `{path, project_dir, modified_at, already_ingested}`.

### Codex
```
Primary index:   ~/.codex/session_index.jsonl
Session files:   ~/.codex/sessions/**/rollout-*.jsonl
Signal fields:   thread_id, name/title, updated_at (in session_index.jsonl)
```
Read `session_index.jsonl` as the inventory. Each line: `{thread_id, name, updated_at}`. Map thread IDs to rollout files by matching directory names.

### Hermes
```
Primary index:   ~/.hermes/memories/*.md  (fast to scan)
Session files:   ~/.hermes/sessions/**/*.jsonl
Signal fields:   file names, memory titles, first 3 lines of each memory
```
Scan memory filenames first (they're often titled by topic). Fall back to session listing.

### OpenClaw
```
Primary index:   ~/.openclaw/workspace/memory/MEMORY.md  (structured long-term memory)
Daily notes:     ~/.openclaw/workspace/memory/YYYY-MM-DD.md
Session index:   ~/.openclaw/agents/*/sessions/sessions.json
Session files:   ~/.openclaw/agents/*/sessions/*.jsonl
```
Read `MEMORY.md` sections first — it's the pre-compiled summary of everything. Daily notes give recency signal.

### Copilot
```
Primary index:   session filenames / directory listing
Session files:   varies by client (VS Code: ~/.copilot/sessions/*.jsonl or similar)
Signal fields:   session timestamps, file names
```

### Pi
```
Primary index:   ~/.pi/agent/sessions/--<cwd>--/ directories
Session files:   ~/.pi/agent/sessions/--<cwd>--/<timestamp>_<uuid>.jsonl
Signal fields:   cwd (decoded from dir name), session_info.name, timestamp in filename
```
Scan session directories first. Decode `--<cwd>--` 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.

---

## Step 3: Score Sessions Against the Query

If a query was given, score each session in the inventory without opening full session files:

1. **Name/title match** — does the session name or thread title contain the query terms? Score: +3
2. **CWD/project match** — does the working directory suggest the right project? Score: +2
3. **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:

   ```
   base  = name_match(3) + cwd_match(2)
   score = base * (0.35 + 0

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 8bcf57f

Download folder ↗
git clone https://github.com/ar9av/obsidian-wiki
git -C obsidian-wiki checkout 8bcf57f68146

The author documents no install command, so this uses the repository directly. Our verdict covers commit 8bcf57f68146 only.

Works in which agents?

What its own text says, not a test

AgentStatusMore
Claude CodeMentioned in its text, not testedSkills for Claude Code · About Claude Code
CodexMentioned in its text, not testedSkills for Codex · About Codex
GitHub CopilotMentioned in its text, not testedSkills for GitHub Copilot · About GitHub Copilot
OpenClawMentioned in its text, not testedSkills for OpenClaw · About OpenClaw
“Mentioned” means the skill’s text names the agent. We have not run it there.

Audit history

Every audit, every source change

  1. !CAUTION B 89 / 100

    first audit · source 8bcf57f68146

README badge

For maintainers · shows the latest audit

ModelsAtlas: CAUTION BMODELSATLASCAUTION · B
[![ModelsAtlas: CAUTION B](https://modelsatlas.com/skills/ar9av/wiki-agent/badge.svg)](https://modelsatlas.com/skills/ar9av/wiki-agent/)

The badge shows our verdict and grade for this skill, and links back to this page. It changes when the audit does.

vault-skill-factory!CAUTION

ar9av/obsidian-wiki

Create a reviewable Agent Skill package from mature curated wiki pages. Use when turning verified vault knowledge into a reusable skill. Reads the vault and writes only to a review directory; it does not install skills.

★ 3.6kGrade B
openclaw-history-ingest!CAUTION

ar9av/obsidian-wiki

Ingest OpenClaw session/history data into Obsidian as distilled knowledge. Use for importing or mining ~/.openclaw sessions, memory files, or logs; use wiki-agent for targeted topic-only cross-agent recall.

★ 3.6kGrade B
pi-history-ingest!CAUTION

ar9av/obsidian-wiki

Ingest Pi coding-agent session history into Obsidian as distilled knowledge. Use for importing or mining ~/.pi/agent/sessions or Pi conversation logs; use wiki-agent for targeted topic-only recall.

★ 3.6kGrade B
skill-creator!CAUTION

ar9av/obsidian-wiki

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill…

★ 3.6kGrade B
tag-taxonomy!CAUTION

ar9av/obsidian-wiki

Apply and maintain the wiki's controlled tag vocabulary. Use for choosing, normalizing, auditing, or extending tags when creating or updating wiki pages; consult the taxonomy before assigning tags.

★ 3.6kGrade B
memory-bridge!CAUTION

ar9av/obsidian-wiki

Browse or compare wiki knowledge by originating AI tool. Use for cross-tool memory questions, tool-specific knowledge, or gap/diff analysis between Codex, Claude, Hermes, and other agents.

★ 3.6kGrade B

Add this badge to your README

[![ModelsAtlas: CAUTION B](https://modelsatlas.com/skills/ar9av/wiki-agent/badge.svg)](https://modelsatlas.com/skills/ar9av/wiki-agent/)

Questions about wiki-agent

What does the wiki-agent skill do?
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
Is wiki-agent safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can wiki-agent access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does wiki-agent work with?
Its documentation mentions claude-code, codex, copilot and openclaw. That is what the text claims, not a compatibility test we ran.
How current is this page?
The grade is for one exact copy of the source (8bcf57f68146), read on 2026-10-31. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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