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 cmdr-chara/codex-toolkit --skill content-provenance-hygienegit clone --depth 1 https://github.com/cmdr-chara/codex-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/skills/cmdr-chara/codex-toolkit/content-provenance-hygiene)<a href="https://agentmods.dev/skills/cmdr-chara/codex-toolkit/content-provenance-hygiene"><img src="https://agentmods.dev/badge/skills/cmdr-chara/codex-toolkit/content-provenance-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/cmdr-chara/codex-toolkit/content-provenance-hygiene"><img src="https://agentmods.dev/badge/skills/cmdr-chara/codex-toolkit/content-provenance-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 | $0.00084 | $0.02256 |
| Opus 5 | $0.00042 | $0.01128 |
| Sonnet 5 | $0.00017 | $0.00451 |
| Haiku 4.5 | $0.00008 | $0.00226 |
Grade A, and why
content-provenance-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 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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content provenance hygiene
Use this skill for evidence-first inspection and deterministic sanitation of provenance or metadata surfaces in content the user owns or is authorized to modify.
The skill is a thin client. It does not vendor or silently install the watermarks-remover runtime. When that optional service is available, call its HTTP API; when it is not available, report the missing capability rather than inventing a local fallback.
Read references/service-protocol.md before relying on service endpoints or capability names. Read references/remediation-boundaries.md before proposing any content-altering or pixel-domain operation.
Trigger boundary
Use this skill when the primary request is to:
- inspect text for invisible Unicode, exotic spaces, bidi controls, tag characters, or similar provenance/hygiene artifacts;
- inspect or remove C2PA/Content Credentials, EXIF, XMP, document properties, or comparable metadata from a user-owned artifact;
- sanitize supported PNG, JPEG, WebP, SVG, PDF, DOCX, ODT, HTML, Markdown, or plain-text content while preserving the visible content where the requested operation permits;
- compare before/after provenance findings and produce a bounded sanitation record;
- determine whether the optional local service has the capability required for a requested format or operation.
Do not trigger this skill when the primary goal is:
- to make AI-generated material appear human-authored, defeat an authorship detector, or conceal provenance in order to misrepresent who created the content;
- statistical watermark reduction by paraphrasing or “humanizing” prose as the default workflow;
- CAPTCHA, login, paywall, DRM, or access-control bypass;
- arbitrary image editing, visual retouching, or document rewriting unrelated to provenance/metadata hygiene;
- source-code refactoring, documentation drift repair, or release verification that merely happens to touch a file containing metadata.
If a request mixes legitimate metadata hygiene with a content rewrite, keep the deterministic hygiene work separate. Hand the rewrite to the appropriate writing or implementation workflow and do not claim that rewriting proves human authorship.
What ships with it
3 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.
- 8d ago First seen · 188 lines · 84 tokens per session scan A bb7f82801693
content-provenance-hygiene is a skill published in the GitHub repository cmdr-chara/codex-toolkit (2 stars, last pushed 11d ago), licensed MIT. It adds 84 tokens to every session and 2,256 once invoked, about $0.0004 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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