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 0xNagato/skill-lint --skill good-skillgit clone --depth 1 https://github.com/0xNagato/skill-lintWrote 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/0xnagato/skill-lint/good-skill)<a href="https://agentmods.dev/skills/0xnagato/skill-lint/good-skill"><img src="https://agentmods.dev/badge/skills/0xnagato/skill-lint/good-skill/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/0xnagato/skill-lint/good-skill"><img src="https://agentmods.dev/badge/skills/0xnagato/skill-lint/good-skill.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 | $0.00049 | $0.00194 |
| Opus 5 | $0.00024 | $0.00097 |
| Sonnet 5 | $0.00010 | $0.00039 |
| Haiku 4.5 | $0.00005 | $0.00019 |
Grade A, and why
good-skill 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 8d 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
Good skill
Passes every rule. Note what the description does: it says what the skill produces and the conditions under which to reach for it. That second half is what the router actually matches on, and it is the half most skills omit.
Steps
- Read the source file and infer column types.
- Compare against the declared schema; report mismatches rather than coercing.
- Write Parquet with the validated schema.
Notes
Keep bodies focused. Detail that is only occasionally needed belongs in a separate file this skill points to, so it is read on demand rather than loaded into context on every turn.
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.
- 8d ago First seen · 25 lines · 49 tokens per session scan A 4c1d496719b9
good-skill is a skill published in the GitHub repository 0xNagato/skill-lint (0 stars, last pushed 12d ago), licensed MIT. It adds 49 tokens to every session and 194 once invoked, about $0.0002 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.
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