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 flurdy/agent-skills --skill artifact-hygienegit clone --depth 1 https://github.com/flurdy/agent-skillsWrote 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/flurdy/agent-skills/artifact-hygiene)<a href="https://agentmods.dev/skills/flurdy/agent-skills/artifact-hygiene"><img src="https://agentmods.dev/badge/skills/flurdy/agent-skills/artifact-hygiene/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/flurdy/agent-skills/artifact-hygiene"><img src="https://agentmods.dev/badge/skills/flurdy/agent-skills/artifact-hygiene.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 | $0.00030 | $0.01416 |
| Opus 5 | $0.00015 | $0.00708 |
| Sonnet 5 | $0.00006 | $0.00283 |
| Haiku 4.5 | $0.00003 | $0.00142 |
Grade A, and why
artifact-hygiene 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.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Artifact Hygiene
Run the local-only proof of concept that checks whether repository content is safe to publish. The
helper is the only component allowed to read candidate content. The active model receives normalized,
redacted findings and coverage—not raw candidate content. On Claude Code this skill carries no model: pin on purpose: it rides the session model rather than downgrading to the standard alias, while Pi routes by model-tier.
This skill is advisory and read-only. It never fetches, follows links, calls remote services, validates credentials, installs hooks, blocks CI, edits files, changes Git state, rewrites history, or creates tracker or remote state.
Scope
The proof of concept scans:
- the full publishable working tree: tracked regular text files plus staged, unstaged, and untracked-not-ignored regular text files; and
- unpublished branch commit messages and per-path patches relative to a locally available
default-branch ref, without fetching. If no remote-backed base is available, it scans all commits
reachable from
HEADrather than treating the current local branch as published.
It uses an audit-owned Gitleaks configuration and empty ignore file, scrubs scanner configuration from the environment, ignores inline scanner allow-comments, and never passes a baseline. Repository scanner configuration cannot suppress the audit. Before any clean result, a private runtime canary must prove that the selected scanner and audit configuration can detect the pinned secret shape. The helper also reports known session-share links, Bead references, email addresses, name-like personal data (personal names), AI attribution trailers or boilerplate, and scanner-suppression controls without exposing matched values.
The custom-detectors coverage source proves every built-in non-secret detector still matches its
private canary. Missing detector coverage produces a partial result, never a clean result. Personal-name
detection is advisory and contextual: it detects direct requests to contact a named person or handle, not
capitalized technical phrases. Expected Co-authored-by: and Signed-off-by: trailers are excluded from
personal-data findings. Bead-reference, personal-data, and AI-attribution detectors scan unpublished history only—commit
messages and added patch lines—rather than re-reporting content already published on the base branch. Bead references and
personal-data matches in dependency lockfiles are ignored, as are email addresses under reserved example domains.
Email addresses in the owner, created_by, and assignee fields of Beads .beads/issues.jsonl
records are treated as structural attribution; unrelated fields remain reportable.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 Changed · +44 lines 70026f2af2df
- 9d ago First seen · 80 lines · 30 tokens per session scan A 2475a0df6b88
artifact-hygiene is a skill published in the GitHub repository flurdy/agent-skills (9 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 1,416 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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