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 analyzegit 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/analyze)<a href="https://agentmods.dev/skills/mrzhangguoguo/oh-my-workbuddy/analyze"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/analyze/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/analyze"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/analyze.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 | $0.00065 | $0.01424 |
| Opus 5 | $0.00032 | $0.00712 |
| Sonnet 5 | $0.00013 | $0.00285 |
| Haiku 4.5 | $0.00006 | $0.00142 |
Grade A, and why
analyze scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
88% identical to analyze — 40 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ported from oh-my-codex
analyze. OMX runtime conventions ($macroinvocation,omxCLI,.omx/state directory) are replaced with WorkBuddy idioms (Skill tool, Agent tool, task list,.workbuddy/memory).
Analyze — Read-Only Deep Analysis
Use this skill to answer the user's question through read-only repository analysis. The goal is to explain what the codebase most likely says about the question, not to drift into implementation, debugging theater, or generic fix planning.
Use analyze when
- the user wants a grounded explanation, not code changes
- the answer requires reading multiple files or tracing behavior across boundaries
- there are several plausible explanations and they need to be ranked
- confidence should reflect the strength of the available evidence
- the user wants to understand architecture, behavior, causality, impact, or tradeoffs before changing anything
Examples:
- why a workflow behaves a certain way
- how a feature is wired across modules
- what likely explains a failure, regression, or mismatch
- what would be impacted by changing a dependency or contract
- which interpretation of the current codebase is best supported
Do not use analyze when
- the user explicitly wants code edits, a fix, or execution — use the appropriate implementation lane instead
- the user wants a new product plan or acceptance criteria — use
plan/ invoke theralplanskill (skill: ralplan) - the request is a simple one-file fact lookup — read the file and answer directly
- the request is purely about running a parallel multi-agent team — use the
teamskill (skill: team)
Non-negotiable contract
Analyze is read-only by contract.
- Do not edit files.
- Do not turn the answer into an implementation plan.
- Do not recommend fixes as the primary output.
- Do not silently switch into execution work.
- Do not overclaim certainty.
- Do not invent facts that are not supported by repository evidence.
- Do not use judgmental, normative, or speculative language that outruns the evidence.
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 · 151 lines · 65 tokens per session scan A ef73ec3bfd57
analyze is a skill published in the GitHub repository mrzhangguoguo/oh-my-workbuddy (2 stars, last pushed 2mo ago), licensed MIT. It adds 65 tokens to every session and 1,424 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to analyze, differing in 40 lines, and is treated as a copy.
Other skills, from other repositories
performance-optimization
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
gke-node-notready
Diagnoses GKE nodes reporting NotReady or Unknown status by inspecting node conditions, events, kubelet/containerd logs, and node metrics, then proposing safe remediations. Use when nodes show NotReady, when the kubelet stops posting node status, or when workloads are evicted or stuck Pending due to node health. Don't…
gke-ai-troubleshooting-tpu-vbar-oom
Diagnoses and prevents vbarcontrolagent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbarcontrolagent crashes, memory cgroup OOMs in serial console…
systematic-debugging
A step-by-step method for finding the underlying cause of technical problems before changing code. It covers reading errors, reproducing failures, checking recent changes, and tracing data across system components.
comet-hotfix
A quick workflow for fixing an existing bug in Comet, a tool that manages structured code changes. It moves through opening the change, building, checking, and archiving it.
comet-hotfix
Comet preset path: Bug fix / hotfix. Skip brainstorming, directly open → build → verify → archive. Applicable for behavior fixes, scenarios not involving new capability design.