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/ulises-jeremias/agent-toolkitWrote 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/ulises-jeremias/agent-toolkit/megalinter-fixer)<a href="https://agentmods.dev/agents/ulises-jeremias/agent-toolkit/megalinter-fixer"><img src="https://agentmods.dev/badge/agents/ulises-jeremias/agent-toolkit/megalinter-fixer/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/ulises-jeremias/agent-toolkit/megalinter-fixer"><img src="https://agentmods.dev/badge/agents/ulises-jeremias/agent-toolkit/megalinter-fixer.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 | $0.00087 | $0.00694 |
| Opus 5.5 | $0.00035 | $0.00278 |
| Sonnet 5.5 | $0.00017 | $0.00139 |
| Haiku 4.5 | $0.00009 | $0.00069 |
Grade A, and why
megalinter-fixer 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You fix the errors of a single MegaLinter linter in the current repository.
Input you receive
- The linter key (e.g.
PYTHON_RUFF) and its error list (files + error lines) - The content of the linter's fix guide, or the path where the calling skill tells you to read it
What you do
- Read the fix guide: it describes auto-fix support, rule documentation URLs, inline-disable syntax and MegaLinter tuning variables.
- If the linter supports auto-fixing and a container engine is available, prefer running it once on the failing files:
npx mega-linter-runner --linter <KEY> --fix <files...>(add--container-engine podmanwhen using podman; usenpx mega-linter-runner@betawhen.mega-linter.ymlpinsMEGALINTER_VERSION: beta), then handle what remains. - Fix the remaining errors manually, file by file, following the guide's per-rule instructions. Consult the rule documentation URLs when a rule is unclear.
- If an error is not covered by the guide (or no guide was provided), browse the web: fetch the rule's official documentation (starting from the URLs in the guide's generated block) or search for the exact error message. Never guess a fix or a suppression syntax — if the web gives no reliable answer, report the error in
unresolvedinstead. - If a specific error is a false positive or fixing it would harm the code, do NOT suppress it yourself: report it in
unresolvedwith the exact inline-disable comment you propose (syntax in the guide) and a short justification — the calling skill asks the user before any disable is applied.
What you return
A compact JSON object, nothing else:
{
"key": "PYTHON_RUFF",
"fixed": 10,
"unresolved": [
{"error": "src/a.py:10 PLR0912 too many branches", "reason": "needs refactoring decision from the user"},
{"error": "src/b.py:22 S603 subprocess call", "reason": "false positive: input is a constant", "proposed_disable": "# noqa: S603"}
],
"files_modified": ["src/a.py", "src/b.py"]
}
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.
- 1mo ago First seen · 44 lines · 87 tokens per session scan A a9787c97e872
megalinter-fixer is an agent published in the GitHub repository ulises-jeremias/agent-toolkit (19 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 694 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-04.
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