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Agent skill · Audited from source

openclaw-history-ingest

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

★ 3,643pushed 3 days ago
!CAUTIONGrade B · 89/100 · 5 findings · 8bcf57f
3,643repo 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: 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.

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Cite this page

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

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/openclaw-history-ingestThe 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 3 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: 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.

---
name: openclaw-history-ingest
description: >
  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.
---

# OpenClaw History Ingest — Session & Memory Mining

You are extracting knowledge from the user's OpenClaw agent history and distilling it into the Obsidian wiki. OpenClaw stores both a structured long-term MEMORY.md and per-session JSONL transcripts — focus on durable knowledge, not operational telemetry.

This skill can be invoked directly or via the `wiki-history-ingest` router (`/wiki-history-ingest openclaw`).

## 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` and `OPENCLAW_HISTORY_PATH` (defaults to `~/.openclaw`)
2. Read `.manifest.json` at the vault root to check what has already been ingested
3. Read `index.md` at the vault root to understand what the wiki already contains

## Ingest Modes

### Append Mode (default)

Check `.manifest.json` for each source file. Only process:

- Files not in the manifest (new session logs, updated MEMORY.md or daily notes)
- Files whose modification time is newer than `ingested_at` in the manifest

Use this mode for regular syncs.

### Full Mode

Process everything regardless of manifest. Use after `wiki-rebuild` or if the user explicitly asks for a full re-ingest.

## OpenClaw Data Layout

OpenClaw stores all local artifacts under `~/.openclaw/`.

```
~/.openclaw/
├── openclaw.json                          # Global config
├── credentials/                           # Auth tokens (skip entirely)
├── workspace/                             # Agent workspace
│   ├── MEMORY.md                          # Long-term memory (loaded every session)
│   ├── DREAMS.md                          # Optional dream diary / summaries
│   └── memory/
│       ├── YYYY-MM-DD.md                  # Daily notes (today + yesterday auto-loaded)
│       └── ...
└── agents/
    └── <agentId>/
        ├── agent/
        │   └── models.json                # Agent config (skip)
        └── sessions/
            ├── sessions.json              # Session index
            └── <sessionId>.jsonl          # Session transcript (JSONL, append-only)
```

### Key data sources ranked by value

1. `workspace/MEMORY.md` — highest signal; long-term durable facts the agent accumulated
2. `workspace/memory/YYYY-MM-DD.md` — daily notes; recent entries often contain active project context
3. `agents/*/sessions/<id>.jsonl` — session transcripts; rich but noisy
4. `agents/*/sessions/sessions.json` — session index for inventory and timestamps
5. `workspace/DREAMS.md` — optional summaries; ingest if present

Skip `credentials/` entirely. Skip `agents/*/agent/models.json` (runtime config, not user knowledge).

## Step 1: Survey and Compute Delta

Scan `OPENCLAW_HISTORY_PATH` and compare against `.manifest.json`:

- `~/.openclaw/workspace/MEMORY.md`
- `~/.openclaw/workspace/DREAMS.md` (if present)
- `~/.openclaw/workspace/memory/*.md`
- `~/.openclaw/agents/*/sessions/sessions.json`
- `~/.openclaw/agents/*/sessions/*.jsonl`

Classify each file:

- **New** — not in manifest
- **Modified** — in manifest but file is newer than `ingested_at`
- **Unchanged** — already ingested and unchanged

Report a concise delta summary before deep parsing.

## Step 2: Parse MEMORY.md First

`MEMORY.md` is the highest-value source. It is plain markdown, human-readable and human-editable. It typically contains:

- Durable facts about the user's preferences, environment, and recurring patterns
- Decisions and context the agent was told to remember
- Project-specific notes the agent accumulated over many sessions

Read it in full and extract concept-level knowledge. Do not create one wiki page per MEMORY.md entry — cluster by topic.

## Step 3: Parse Daily Notes

`workspace/memory/YYYY-MM-DD.md` files contain time-stamped notes from that day's sessions. Prioritize recent files (last 30–90 days). Extract:

- Active project context and decisions made
- Patterns or techniques discovered
- Recurring blockers or solved problems

Older daily notes have diminishing signal — summarize in bulk rather than extracting line-by-line.

## Step 4: Parse Session JSONL Safely

Each session file is JSONL (append-only, one JSON object per line):

```json
{"role": "user",      "content": "...", "timestamp": "..."}
{"role": "assistant", "content": "...", "timestamp": "..."}
{"role": "tool",      "name": "...",   "content": "...", "timestamp": "..."}
```

### Extraction rules

- Prioritize assistant turns that state conclusions, decisions, or patterns
- Extract user intent from high-signal turns; skip low-information follow-ups
- Tool calls are context, not primary knowledge — only extract if the result contains a reusable insight
- Cross-reference `sessions.json` index to get session names/labels before opening individual transcripts

### Critical privacy filter

Session transcripts can include injected instructions, tool payloads, and sensitive text. Do not ingest verbatim.

- Remove API keys, tokens, passwords, credentials
- Redact private identifiers unless relevant and user-approved
- Summarize; do not quote raw transcripts verbatim

## Step 5: Cluster by Topic

Do not create one wiki page per session or per MEMORY.md entry.

- Group by stable topic (concept, tool, project, technique)
- Split mixed sessions into separate themes
- Mer

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
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/openclaw-history-ingest/badge.svg)](https://modelsatlas.com/skills/ar9av/openclaw-history-ingest/)

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
wiki-agent!CAUTION

ar9av/obsidian-wiki

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.

★ 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/openclaw-history-ingest/badge.svg)](https://modelsatlas.com/skills/ar9av/openclaw-history-ingest/)

Questions about openclaw-history-ingest

What does the openclaw-history-ingest skill do?
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
Is openclaw-history-ingest 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 openclaw-history-ingest access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does openclaw-history-ingest work with?
Its documentation mentions 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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