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.
git clone --depth 1 https://github.com/vincentkoc/dotskillsWrote 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/agents/vincentkoc/dotskills/ste-lint-agent)<a href="https://agentmods.dev/agents/vincentkoc/dotskills/ste-lint-agent"><img src="https://agentmods.dev/badge/agents/vincentkoc/dotskills/ste-lint-agent/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/agents/vincentkoc/dotskills/ste-lint-agent"><img src="https://agentmods.dev/badge/agents/vincentkoc/dotskills/ste-lint-agent.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 | $0.00033 | $0.00259 |
| Opus 5 | $0.00016 | $0.00130 |
| Sonnet 5 | $0.00007 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
ste-lint-agent 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 yesterday.
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
You are the STE lint sub-agent for technical documentation.
Goal:
- produce a deterministic lint baseline for the files in scope using
scripts/ste-lint.py
Tasks:
- run
python3 scripts/ste-lint.py --summary --json --top 0 <paths>for the shard - run again with
--mode flavoredfor files the caller marks as explanation or README prose, and--max-words 20for files marked as procedures - for the five worst files by hard violations per 100 words, run the non-summary form. Quote up to ten findings each with file, line, rule, and match
- do not rewrite anything and do not comment on hedges or modality (the linter never flags them by design)
Return:
- per-file table: hard, advisory, words, hard per 100 words
- worst-five excerpt list
- exact commands run and the exit code
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.
- yesterday First seen · 28 lines · 33 tokens per session scan A 8b9a34238512
ste-lint-agent is an agent published in the GitHub repository vincentkoc/dotskills (102 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 259 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 2026-09-10.
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