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 impactbrussels/AINativeOS --skill compliance-readinessgit clone --depth 1 https://github.com/impactbrussels/AINativeOSWrote 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/impactbrussels/ainativeos/compliance-readiness)<a href="https://agentmods.dev/skills/impactbrussels/ainativeos/compliance-readiness"><img src="https://agentmods.dev/badge/skills/impactbrussels/ainativeos/compliance-readiness/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/impactbrussels/ainativeos/compliance-readiness"><img src="https://agentmods.dev/badge/skills/impactbrussels/ainativeos/compliance-readiness.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 | $0.00190 | $0.01610 |
| Opus 5 | $0.00095 | $0.00805 |
| Sonnet 5 | $0.00038 | $0.00322 |
| Haiku 4.5 | $0.00019 | $0.00161 |
Grade A, and why
compliance-readiness 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compliance Readiness
A security questionnaire lands the week you are trying to close the deal, and you discover what you should have known six months ago. Compliance in an AI workload is not a single gate; it is a map of overlapping frameworks, each demanding its own evidence, and the agent-shaped wrinkles (audit logging, data residency, model-provider subprocessors) are exactly the ones founders miss until an auditor asks. This skill maps the scope so you find the gaps before a reviewer does. It does not replace a qualified compliance professional or a lawyer, and you must verify current requirements with counsel before you act on any of it.
The method
Map which frameworks the workload touches, list the evidence each demands, then rank the gaps. Full framework: references/compliance-scoping.md. This pairs with eval-and-safety-harness: the six pillars (versioned data, audit trail, fallbacks) are the controls compliance asks you to evidence.
Step 1: Map which frameworks apply
Walk each framework against your workload. "We are probably out of scope" is a guess, not a finding; check the trigger.
| Framework | Commonly applies when (verify) | The agent-specific wrinkle |
|---|---|---|
| SOC 2 | An enterprise buyer requires it before they trust you with their data | Every agent action must land in an audit trail you can produce |
| HIPAA | You touch US protected health information | A model provider handling PHI may need a Business Associate Agreement |
| ISO 27001 | A buyer or region expects a certified ISMS | Information-security controls must cover the AI tooling, not just the app |
| GDPR | You process EU residents' personal data | Data residency, a lawful basis, and subprocessor disclosure for model providers |
| EU AI Act | Your AI system falls in a regulated risk tier | Risk classification and obligations scale with the use case; verify the tier |
Mark each: in scope, out of scope, or unsure. Unsure goes to counsel, not to a guess.
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 · 90 lines · 0 tokens per session scan A 188f76b2edd8
compliance-readiness is a skill published in the GitHub repository impactbrussels/AINativeOS (1 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 190 tokens to every session and 1,610 once invoked, about $0.0010 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.
Other skills, from other repositories
akf-trust-metadata
The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
iso-13485-certification
Comprehensive toolkit for preparing ISO 13485 certification documentation for medical device Quality Management Systems. Use when users need help with ISO 13485 QMS documentation, including (1) conducting gap analysis of existing documentation, (2) creating Quality Manuals, (3) developing required procedures and work…
lifecycle-messaging
Email/SMS lifecycle and deliverability framework for SMB Product-Builder products that send transactional or lifecycle messages (booking reminders, CRM sequences, receipts, win-back). Codifies provider selection (Resend/Postmark/Twilio/SendGrid), domain auth (SPF/DKIM/DMARC), consent and compliance (TCPA, CAN-SPAM…
civic-publish-gate
Run deterministic source, citation, freshness, privacy, meeting-certainty, accessibility, correction-state, and human-approval checks before civic publication.
editorial-correction-review
Review a challenged civic claim and prepare a visible, append-only correction or withdrawal with downstream propagation evidence.
akf-trust-metadata-v2
AKF — The AI Native File Format workflow skill. Use this skill when the user needs The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing and the operator should preserve…