Borrowing it
Nothing to install: this file belongs to mtarcure/claude-vibe-squad. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mtarcure/claude-vibe-squad/main/.agents/skills/platform-compliance/SKILL.mdgit clone --depth 1 https://github.com/mtarcure/claude-vibe-squadWrote 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/mtarcure/claude-vibe-squad/platform-compliance)<a href="https://agentmods.dev/skills/mtarcure/claude-vibe-squad/platform-compliance"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/platform-compliance/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/mtarcure/claude-vibe-squad/platform-compliance"><img src="https://agentmods.dev/badge/skills/mtarcure/claude-vibe-squad/platform-compliance.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 | $0.00076 | $0.00285 |
| Opus 5 | $0.00038 | $0.00143 |
| Sonnet 5 | $0.00015 | $0.00057 |
| Haiku 4.5 | $0.00008 | $0.00028 |
Grade A, and why
platform-compliance 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 10d 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.
What it actually says
Platform Compliance
Fit a media deliverable to a platform's technical and policy requirements before publish — specs, safe areas, and rules.
Steps
- Pull the target platform's current spec: resolution, aspect ratio(s), duration limits, codec/bitrate, captions, loudness.
- Lay out for the platform's safe areas and UI overlays so nothing critical is cropped or covered.
- Check content-policy and disclosure rules (ads/sponsorship/AI-disclosure/age) that apply to the piece; flag anything uncertain for review.
- Meet accessibility requirements (captions/audio description) the platform mandates.
- Produce a per-platform export checklist; verify the actual file against it before publishing.
Acceptance
- The deliverable meets the platform's current technical spec (verified, not remembered).
- Safe areas and mandated accessibility (captions/AD) are satisfied.
- Policy/disclosure requirements are checked; uncertainties are flagged, not assumed compliant.
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.
- 10d ago First seen · 22 lines · 76 tokens per session scan A 5c16639e8ffc
platform-compliance is a skill published in the GitHub repository mtarcure/claude-vibe-squad (142 stars, last pushed yesterday), licensed MIT. It adds 76 tokens to every session and 285 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 2026-08-30.
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