A persistent Markdown knowledge base for project and session information, stored as linked pages with an index and activity log. It supports categories, tags, keyword search, and lifecycle operations such as adding, reading, checking, and deleting pages.

Use it to add or ingest notes, search or read project knowledge, check wiki structure, maintain cross-references, and remove outdated pages.

It keeps important project decisions, references, debugging notes, and session details available across conversations instead of leaving them scattered in chat.

wiki — Skill for Claude Code and Codex by mrzhangguoguo

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add mrzhangguoguo/oh-my-workbuddy --skill wiki

Clone the repo

git clone --depth 1 https://github.com/mrzhangguoguo/oh-my-workbuddy

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/mrzhangguoguo/oh-my-workbuddy/wiki/github.svg)](https://agentmods.dev/skills/mrzhangguoguo/oh-my-workbuddy/wiki)

Your own site

<a href="https://agentmods.dev/skills/mrzhangguoguo/oh-my-workbuddy/wiki"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/wiki/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/mrzhangguoguo/oh-my-workbuddy/wiki"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,057 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	$0.00052	$0.01057
Opus 5	$0.00026	$0.00528
Sonnet 5	$0.00010	$0.00211
Haiku 4.5	$0.00005	$0.00106

Measured 11d ago against content hash 29bdd701bb6a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

wiki 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 11d 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/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ported from oh-my-codex wiki. OMX runtime conventions ($macro invocation, omx CLI, .omx/ state directory) are replaced with WorkBuddy idioms (Skill tool, Agent tool, task list, .workbuddy/memory).

Wiki

Persistent, self-maintained markdown knowledge base for project and session knowledge. There is no omx binary; every operation below is implemented with the WorkBuddy file tools (Write, Read, Edit, Grep, Glob, Bash). The wiki lives under .omw/wiki/ so it is co-located with other WorkBuddy artifacts and easy to gitignore or commit as desired.

Storage layout

Pages: .omw/wiki/<slug>.md
Index: .omw/wiki/index.md
Log: .omw/wiki/log.md

<slug> is a kebab-case page id derived from the title (e.g. auth-architecture).

Operations

Add / Ingest a page

Derive the slug from the title.

Write .omw/wiki/<slug>.md with this shape:

---
title: <Title>
category: <category>
tags: [tag1, tag2]
created: <YYYY-MM-DD>
updated: <YYYY-MM-DD>
---

<content in markdown>

Append a one-line entry to .omw/wiki/index.md: - [<Title>](<slug>.md) — <category> — tags: tag1, tag2
Append to .omw/wiki/log.md: <YYYY-MM-DD> ADD <slug> (<category>).

Use the Write tool for new pages. For an existing page, use Edit to update content and bump updated:.

Query

Keyword + tag search (no vector embeddings — exact substring/tag match only):

By tag/category: Grep for tags:.*<tag> or category: <category> across .omw/wiki/.
By keyword: Grep for the phrase across .omw/wiki/*.md (use output_mode: files_with_matches).
Read index.md first for a fast directory of all pages.
When multiple candidates match, open the most relevant page with Read and summarize to the user.

Lint

Check the wiki for consistency:

Every page under .omw/wiki/*.md (except index.md/log.md) has valid frontmatter (title, category, tags).
Every index.md entry points to a page that exists; every page is listed in index.md.
[[page-name]] wiki-links resolve to an existing <slug>.md.
Report or fix (via Edit) any orphan pages, missing index entries, or broken links.

Read the full file on GitHub · 114 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.

11d ago First seen · 114 lines · 52 tokens per session scan A 29bdd701bb6a

Subscribe to this mod's changes

wiki is a skill published in the GitHub repository mrzhangguoguo/oh-my-workbuddy (2 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 1,057 once invoked, about $0.0003 per session on Opus 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 agent-skills oh-my-codex skills utility workbuddy

context-engineering

Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.

addyosmani/agent-skills · 43 tokens

comet-memory

A review step for deciding whether information should become durable personal memory. It can keep, update, forget, or skip memory candidates based on bounded evidence.

rpamis/comet · 38 tokens

recall-memory

Recall relevant long-term memories on demand. Given a topic or question, judges relevance from pre-loaded metadata, loads only relevant files, and returns a concise summary to the main agent.

clacky-ai/openclacky · 40 tokens

agent-expert-creation

Create specialized agent experts with pre-loaded domain knowledge using the Act-Learn-Reuse pattern. Use when building domain-specific agents that maintain mental models via expertise files and self-improve prompts.

majiayu000/claude-skill-registry · 43 tokens

relevance-coarse-filter

Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitoronly, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.

elvisun/newsjack · 57 tokens

self-improve

Extract lessons from the current session, or sweep the project's past sessions when asked, and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to "self-improve", "distill this session", "distill past sessions", "sweep past…

tobihagemann/turbo · 125 tokens

wiki