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 agentmods add skills/code-yeongyu/lazyclaudecode/comment-checkernpx skills add code-yeongyu/lazyclaudecode --skill comment-checkergit clone --depth 1 https://github.com/code-yeongyu/lazyclaudecodeWrote 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/code-yeongyu/lazyclaudecode/comment-checker)<a href="https://agentmods.dev/skills/code-yeongyu/lazyclaudecode/comment-checker"><img src="https://agentmods.dev/badge/skills/code-yeongyu/lazyclaudecode/comment-checker.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00139 |
| Opus 5 | $0.00015 | $0.00069 |
| Sonnet 5 | $0.00006 | $0.00028 |
| Haiku 4.5 | $0.00003 | $0.00014 |
Grade A, and why
comment-checker 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 4d 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
100% identical to comment-checker — 0 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.
What it actually says
Codex Comment Checker
The plugin registers a PostToolUse hook for successful apply_patch, write, edit, multi_edit, and multiedit calls.
When comment-checker reports a warning after a patch, Codex receives blocking feedback and should fix or explain the flagged comment before moving on.
Scope
- No MCP tool is exposed.
- Non-edit tools are ignored by this plugin.
- Missing checker binaries emit no hook output so normal Codex work can continue.
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.
- 4d ago First seen · 17 lines · 29 tokens per session scan A 2e33ba95d76c
comment-checker is a skill published in the GitHub repository code-yeongyu/lazyclaudecode (18 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 139 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to comment-checker, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
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Treat research results and model knowledge as drafts until verified. Use when researching, quoting numbers or sources, recording knowledge as fact, or before declaring a task successful.
craft-style
Builds a personal output style on hush's frame — the user's voice on the surface, hush's silence-and-structure mechanics copied verbatim underneath. Manages its own creations: lists them alongside stock Hush and edits them. A mechanical verifier confirms every invariant survived. Activation is hush:pick-style's job …
goal
Run a large or unfamiliar goal through the full ballast pipeline — mobilize what you already hold, terrain scan, full skeleton, atomic foundation learning with verification, then build from bedrock to a verified done. Use when the user hands over a big goal, enters a new field, or asks to learn X in order to achieve Y.
brain-init
Scaffold a file-based memory system (index, decision ledger, open questions, session log, optional product truth file) so a project can serve as a durable second brain. Use when the user wants to set up memory, an external brain, or the ballast structure in a project.
proof-standard
Never make an external-facing claim about a product without evidence from a truth file. Use when writing marketing copy, announcements, docs, landing pages, investor material, or answering "can our product do X".