A targeted search tool for finding and summarising past conversations from a selected AI coding agent, such as Claude, Codex, or Copilot.

Use it to recover earlier decisions, setup steps, coding patterns, or solutions from another agent’s sessions and add the useful findings to a shared wiki.

It saves you from searching through an agent’s complete conversation history when you only need information about one topic.

How ystreibel/logseq-wiki configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to ystreibel/logseq-wiki. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/ystreibel/logseq-wiki/main/.skills/wiki-agent/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/ystreibel/logseq-wiki

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ystreibel/logseq-wiki/wiki-agent/github.svg)](https://agentmods.dev/skills/ystreibel/logseq-wiki/wiki-agent)

Your own site

<a href="https://agentmods.dev/skills/ystreibel/logseq-wiki/wiki-agent"><img src="https://agentmods.dev/badge/skills/ystreibel/logseq-wiki/wiki-agent/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ystreibel/logseq-wiki/wiki-agent"><img src="https://agentmods.dev/badge/skills/ystreibel/logseq-wiki/wiki-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 190 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,659 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00190	$0.03659
Opus 5.5	$0.00076	$0.01464
Sonnet 5.5	$0.00038	$0.00732
Haiku 4.5	$0.00019	$0.00366

Measured 2mo ago against content hash 286f8ae21b25, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wiki-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.skills/wiki-agent/SKILL.md · 295 lines

How it starts

The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Resolve config — read ~/.logseq-wiki/config first (gives LOGSEQ_VAULT_PATH and LOGSEQ_WIKI_REPO). If absent, fall back to .env in the logseq-wiki repo. If neither exists, prompt the user to run bash setup.sh.
Read $LOGSEQ_VAULT_PATH/wiki/_manifest.json → know what's already ingested.
Read $LOGSEQ_VAULT_PATH/wiki/_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`

Read the full file on GitHub · 295 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 295 lines · 190 tokens per session scan A 286f8ae21b25

Subscribe to this mod's changes

wiki-agent is a skill published in the GitHub repository ystreibel/logseq-wiki (5 stars, last pushed 11d ago), licensed MIT. It adds 190 tokens to every session and 3,659 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Memory and context Research

wiki-agent next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
wiki-agentystreibel/logseq-wiki	Skill	5	11d ago	MIT	A	190	Claude Code, Codex
knowledge-ingestopenclaw/openclaw	Skill	394k	today	MIT	A	80	Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0	Skill	68k	2d ago	Apache-2.0	A	217	Claude Code, Codex
forgetasgeirtj/system_prompts_leaks	Skill	71k	2d ago	CC0-1.0	A	74	Claude Code, Codex
Cortexdanielmiessler/LifeOS	Skill	20k	yesterday	MIT	A	184	Claude Code
ha-data-storesshiwenwen/hope-agent	Skill	1.9k	yesterday	MIT	A	115	Claude Code, Codex
memoryopensquilla/opensquilla	Skill	7.1k	6d ago	Apache-2.0	A	44	Claude Code, Codex

logseq-wiki: Skill for Claude Code