Hermes History IngestCAUTION
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
Overview
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
8bcf57f68146OBSERVED · 2026-10-28What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: hermes-history-ingest
description: >
Ingest Hermes agent history into Obsidian as distilled knowledge. Use for importing or mining ~/.hermes sessions, memories, or logs; use wiki-agent for targeted topic-only cross-agent recall.
---
# Hermes History Ingest — Conversation & Memory Mining
You are extracting knowledge from the user's Hermes agent history and distilling it into the Obsidian wiki. Hermes stores both free-form memories and structured session transcripts — focus on durable knowledge, not operational telemetry.
This skill can be invoked directly or via the `wiki-history-ingest` router (`/wiki-history-ingest hermes`).
## 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 `HERMES_HISTORY_PATH` (defaults to `~/.hermes`)
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 memory files, new session logs)
- 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.
## Hermes Data Layout
Hermes stores all local artifacts under `~/.hermes/` (or `$HERMES_HOME` for non-default profiles).
```
~/.hermes/
├── memories/ # Persistent agent memories (markdown or JSON)
│ └── *.md / *.json
├── skills/ # Installed skills (read-only for ingest purposes)
│ └── <skill-name>/SKILL.md
├── sessions/ # Session transcripts (if session logging is enabled)
│ └── YYYY-MM-DD/
│ └── <session-id>.jsonl
├── config.yaml # User config (model, theme, paths)
└── .hub/ # Skills Hub state (lock.json, audit.log, quarantine/)
```
### Key data sources ranked by value
1. `memories/*.md` / `memories/*.json` — highest signal; curated persistent knowledge the agent accumulated
2. `sessions/**/*.jsonl` — structured turn-by-turn transcripts; rich but noisy
3. `config.yaml` — metadata only (model preferences, paths); rarely worth ingesting
Skip `.hub/` internals (audit/quarantine state) and the `skills/` directory (source material, not user knowledge).
## Step 1: Survey and Compute Delta
Scan `HERMES_HISTORY_PATH` and compare against `.manifest.json`:
- `~/.hermes/memories/`
- `~/.hermes/sessions/**/` (if present)
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 Memories First
Memories are the highest-value source. Hermes writes them as either:
- **Markdown** — structured prose with optional frontmatter; ingest directly
- **JSON** — `{"content": "...", "created_at": "...", "tags": [...]}` records
For each memory:
- Extract the core knowledge claim
- Note any tags Hermes attached (they often map to wiki categories)
- Merge into the appropriate wiki page rather than creating one memory = one page
## Step 3: Parse Session JSONL Safely
Each session JSONL line is an event envelope. Common shapes:
```json
{"role": "user", "content": "..."}
{"role": "assistant", "content": "..."}
{"type": "tool_use", "name": "...", "input": {...}}
{"type": "tool_result", "content": "..."}
```
### Extraction rules
- Prioritize assistant responses that state conclusions, patterns, or decisions
- Extract user intent from high-signal turns; skip low-information follow-ups
- Treat `tool_use` / `tool_result` pairs as context, not primary content
- Skip token accounting, internal plumbing, and repeated plan echoes
### Critical privacy filter
Session logs 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 4: Cluster by Topic
Do not create one wiki page per memory or session.
- Group memories by stable topic (concept, tool, project, technique)
- Split mixed sessions into separate themes
- Merge recurring patterns across dates and projects
- Use file paths or session `cwd` metadata to infer project scope when available
## Step 5: Distill into Wiki Pages
Route extracted knowledge using existing wiki conventions:
- Project-specific architecture/process → `projects/<name>/...`
- General concepts → `concepts/`
- Recurring techniques/debug playbooks → `skills/`
- Tools/services/frameworks → `entities/`
- Cross-session patterns → `synthesis/`
For each impacted project, create/update `projects/<name>/<name>.md`.
### Writing rules
- Distill knowledge, not chronology
- Avoid "on date X we discussed..." unless date context is essential
- Add `summary:` frontmatter on each new/updated page (1–2 sentences, ≤ 200 chars)
- Add confidence and lifecycle fields to every new page:
```yaml
base_confidence: 0.42
lifecycle: draft
lifecycle_changed: <obsidian-wiki memory now --date>
```
Leave `lifecycle` unchanged on update.
- Add provenance markers:
- `^[extracted]` when directly grounded in explicit memory/sesTrust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
.agents/skills/claude-history-ingest
.agents/skills/code-understand
.agents/skills/codex-history-ingest
.agents/skills/copilot-history-ingest
.agents/skills/cross-linker
Gates applied: no_behavioural_pass.
8bcf57f68146full audit observations/trust-audit/skill/ar9av__hermes-history-ingest.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-28 | 8bcf57f68146 | CAUTION | B | 89 | first audit |
Questions
What does the hermes-history-ingest — ar9av/obsidian-wiki skill do?
Framework for AI agents to build and maintain a digital brain through Obsidian wiki | Memory System for Agents
Is hermes-history-ingest — ar9av/obsidian-wiki 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 hermes-history-ingest — ar9av/obsidian-wiki access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (8bcf57f68146), read on 2026-10-28. The repository is watched, and a new audit runs when it changes — this is the first audit.
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[](https://modelsatlas.com/skills/ar9av/hermes-history-ingest/)
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