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 ur-grue/autopunk-media-skills --skill disclosure-assessmentgit clone --depth 1 https://github.com/ur-grue/autopunk-media-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/ur-grue/autopunk-media-skills/disclosure-assessment)<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/disclosure-assessment"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/disclosure-assessment/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/ur-grue/autopunk-media-skills/disclosure-assessment"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/disclosure-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00052 | $0.02135 |
| Opus 5 | $0.00026 | $0.01068 |
| Sonnet 5 | $0.00010 | $0.00427 |
| Haiku 4.5 | $0.00005 | $0.00214 |
Grade A, and why
disclosure-assessment 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Disclosure Assessment
What This Skill Does
Produces a disclosure requirements brief for a specific piece of content, identifying what must be disclosed, under which regulatory framework, and in what format — covering FTC, ASA, UCPD, and platform-specific rules across all common media formats.
When To Use This Skill
- You are producing sponsored content, an advertorial, or a paid partnership piece and need to know what disclosure is legally required
- You are placing an op-ed or article on behalf of a client and want to check whether the commercial relationship triggers disclosure obligations
- You are working across multiple platforms or jurisdictions and need to understand which rules apply where
- You want format-specific disclosure templates (print, video, audio, social, newsletter) rather than general principles
What You Need To Provide
Required: The content type (op-ed, sponsored article, podcast ad read, YouTube integration, social media post, newsletter, advertorial, event sponsorship); the relationship (who paid whom and what for — direct payment, gifted product, affiliate, equity, retainer, in-kind); the platform (where it will be published); the jurisdictions (where the audience, publisher, and sponsor are based).
Optional: Whether the content is a one-off or part of an ongoing partnership; whether the writer or creator has existing disclosure practices; whether the content makes specific product claims (triggers additional FTC requirements); whether the sponsor is in a regulated industry (pharmaceuticals, finance, alcohol).
How the Assistant Approaches This
-
Identifies applicable regulatory frameworks. Maps every framework that applies to the specific combination of content type, relationship, platform, and jurisdictions — FTC Endorsement Guides, ASA/CAP Code, EU UCPD national implementations, and platform-specific rules. Flags all that apply, not just one.
-
Specifies disclosure requirements. For this exact combination, states what must be disclosed, where it must appear, what language to use, and what is not sufficient. Practical and specific, not general principles.
What ships with it
1 file 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 · 138 lines · 52 tokens per session scan A 4c63ce8a152d
disclosure-assessment is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 52 tokens to every session and 2,135 once invoked, about $0.0003 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 2026-09-04.
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