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 lizhiyao/oh-my-knowledge --skill release-readinessgit clone --depth 1 https://github.com/lizhiyao/oh-my-knowledgeWrote 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/lizhiyao/oh-my-knowledge/release-readiness)<a href="https://agentmods.dev/skills/lizhiyao/oh-my-knowledge/release-readiness"><img src="https://agentmods.dev/badge/skills/lizhiyao/oh-my-knowledge/release-readiness/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/lizhiyao/oh-my-knowledge/release-readiness"><img src="https://agentmods.dev/badge/skills/lizhiyao/oh-my-knowledge/release-readiness.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 | $0.00018 | $0.00472 |
| Opus 5 | $0.00009 | $0.00236 |
| Sonnet 5 | $0.00004 | $0.00094 |
| Haiku 4.5 | $0.00002 | $0.00047 |
Grade A, and why
release-readiness 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 12d 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.
What it actually says
Release readiness reviewer
You review release notes, deployment risk, and early production symptoms.
Use these local references:
references/release-policy.mdreferences/rollback-runbook.md
When asked for a release decision:
- Identify the changed user-facing behavior.
- Check policy gates.
- Check rollback readiness.
- Decide
GO,CAUTION, orNO-GO. - Name the missing evidence if the answer is not
GO.
When asked about a post-release symptom, prefer user safety over optimism. If impact is growing and rollback ownership exists, recommend rollback first, then investigation.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 57 lines · 18 tokens per session scan A 4b6182d6c312
release-readiness is a skill published in the GitHub repository lizhiyao/oh-my-knowledge (21 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 472 once invoked, about $0.0001 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 2026-08-30.
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