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/artvepa80/Agents-HefestoWrote 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/rules/artvepa80/agents-hefesto/hefesto-dogfood)<a href="https://agentmods.dev/rules/artvepa80/agents-hefesto/hefesto-dogfood"><img src="https://agentmods.dev/badge/rules/artvepa80/agents-hefesto/hefesto-dogfood/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/rules/artvepa80/agents-hefesto/hefesto-dogfood"><img src="https://agentmods.dev/badge/rules/artvepa80/agents-hefesto/hefesto-dogfood.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 | $0.00393 | $0.00393 |
| Opus 5.5 | $0.00157 | $0.00157 |
| Sonnet 5.5 | $0.00079 | $0.00079 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
hefesto-dogfood 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 today.
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
Dogfood HefestoAI on your changes
After you create or edit code or config in this repo, analyze every changed file with HefestoAI before you finish.
- List the changed files:
git diff --name-only origin/main...HEADplus uncommitted changes (git status --porcelain). - Analyze them:
- 5 files or fewer: call the
hefestoaiMCP server'sanalyzetool once, withfiles: [{"path": "<relative/posix/path>", "content": "<file text>"}](up to 20 files, 100 KB each; no.., absolute paths,.gitor.hefesto.yaml). Optional:severity(LOW..CRITICAL),format(jsonorsarif). - More than 5 files, or the MCP tool is unavailable or rate-limited: the
hosted MCP allows 10 calls per minute, so use the local CLI instead:
HEFESTO_TELEMETRY=0 hefesto analyze <files>. Ifhefestois not on PATH, runHEFESTO_TELEMETRY=0 python -m hefesto analyze <files>(install withpip install hefesto-aiif needed).
- 5 files or fewer: call the
- Fix every HIGH or CRITICAL finding. If one is a false positive, say why in one line.
- Put the result in the PR body under a
Dogfoodheading: the exact tool call or command and its output (or a finding count summary when long), plus the fixes or false-positive explanations.
Files the analyzer does not support are fine to skip; list them as skipped.
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.
- today First seen · 30 lines · 393 tokens per session scan A c62c26dfaf9f
hefesto-dogfood is a cursor rule published in the GitHub repository artvepa80/Agents-Hefesto (7 stars, last pushed today), licensed MIT. It adds 393 tokens to every session, about $0.0016 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 2026-10-17.
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