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.
npx skills add mrzhangguoguo/oh-my-workbuddy --skill wikigit clone --depth 1 https://github.com/mrzhangguoguo/oh-my-workbuddyWrote 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.
[](https://agentmods.dev/skills/mrzhangguoguo/oh-my-workbuddy/wiki)<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.
<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>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 5.5 | $0.00021 | $0.00423 |
| Sonnet 5.5 | $0.00010 | $0.00211 |
| Haiku 4.5 | $0.00005 | $0.00106 |
Grade A, and why
wiki scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ported from oh-my-codex
wiki. OMX runtime conventions ($macroinvocation,omxCLI,.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).
Categories
architecture, decision, pattern, debugging, environment, session-log, reference,
convention
Operations
Add / Ingest a page
-
Derive the slug from the title.
-
Write
.omw/wiki/<slug>.mdwith 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:
Grepfortags:.*<tag>orcategory: <category>across.omw/wiki/. - By keyword:
Grepfor the phrase across.omw/wiki/*.md(useoutput_mode: files_with_matches). - Read
index.mdfirst 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(exceptindex.md/log.md) has valid frontmatter (title,category,tags). - Every
index.mdentry points to a page that exists; every page is listed inindex.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.
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.
- 1mo ago First seen · 114 lines · 52 tokens per session scan A 29bdd701bb6a
wiki is a skill published in the GitHub repository mrzhangguoguo/oh-my-workbuddy (2 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 1,057 once invoked, about $0.0002 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.
Other skills, from other repositories
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.
digital-brain
This skill should be used when the user asks to "write a post", "check my voice", "look up contact", "prepare for meeting", "weekly review", "track goals", or mentions personal brand, content creation, network management, or voice consistency.
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.
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.
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.
catchup
Rebuild the human's lost context on a project from live state, in plain language: what needs them, what changed, what new words mean. Use when the human returns after a gap, says they can't follow the project anymore, asks what happened or what a term means, or before deciding what to do next when their mental model…