compliance-lord

compliance-lord is a skill for Claude Code, Codex from m3taz-ahmed/ai-globals. It costs 40 tokens per session (1,892 once invoked), scanned A, original, MIT.

A compliance-mapping skill for connecting AI governance rules to three frameworks: the EU AI Act, NIST AI Risk Management Framework, and ISO 42001. It turns those requirements into aiZee policy rules.

In plain words
What is it for?
It helps map requirements about risk, data, logging, transparency, human oversight, accuracy, governance, measurement, and management to specific aiZee components.
Why use it?
It addresses the problem of keeping compliance requirements in documents without enforcing them in an AI system.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps map requirements about risk, data, logging, transparency, human oversight, accuracy, governance, measurement, and management to specific aiZee components.

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Install with agentmods
npx agentmods add skills/m3taz-ahmed/ai-globals/compliance-lord
Install

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.

Any agent
npx skills add m3taz-ahmed/ai-globals --skill compliance-lord
Clone the repo
git clone --depth 1 https://github.com/m3taz-ahmed/ai-globals

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for compliance-lord

README.md
[![agentmods](https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/compliance-lord/github.svg)](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/compliance-lord)
Your own site
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/compliance-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/compliance-lord/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.

agentmods 80×15 button for compliance-lord

Your own site · 80×15
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/compliance-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/compliance-lord.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,892 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.01892
Opus 5 $0.00020 $0.00946
Sonnet 5 $0.00008 $0.00378
Haiku 4.5 $0.00004 $0.00189

Measured 4d ago against content hash 11527db48749, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

compliance-lord 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 4d 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.

skills/compliance-lord/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Compliance Lord

[OBJ] Map regulatory requirements to enforceable aiZee rules. Compliance is not a document — it is a policy gate.

Problem

Gartner published the first Magic Quadrant for AI Governance Platforms (June 2026). Enterprises need a governance program of record for EU AI Act, ISO 42001, and NIST AI RMF. PDFs and wikis are not enforcement.

Rules

  1. [REQ] EU AI Act mapping. Map aiZee rules to EU AI Act articles:
    • Art. 9 (Risk management) → runtime/policy.py risk classification
    • Art. 10 (Data governance) → runtime/supply_chain_guard.py + data provenance
    • Art. 12 (Logging) → runtime/audit.py tamper-evident log
    • Art. 13 (Transparency) → runtime/composite_identity.py attribution
    • Art. 14 (Human oversight) → runtime/guardian.py human-in-the-loop
    • Art. 15 (Accuracy/robustness) → eval/reliability.py reliability@k
  2. [REQ] NIST AI RMF mapping. Map to four functions:
    • GOVERN → global-roles.md + policy engine
    • MAP → runtime/spec_engine.py spec-driven context
    • MEASURE → eval/reliability.py + eval/harness.py
    • MANAGE → runtime/agent_gateway.py + runtime/guardian.py
  3. [REQ] ISO 42001 mapping. Map to AI management system clauses:
    • Clause 4 (Context) → spec.md + ACTIVE_CONTEXT.md
    • Clause 6 (Planning) → workflows/01-planning.md
    • Clause 8 (Operation) → runtime/kernel.py 5-gate pipeline
    • Clause 9 (Performance evaluation) → eval/harness.py + aizee test --full
    • Clause 10 (Improvement) → workflows/06-maintenance.md + Memory.md
  4. [REQ] Risk tier classification. Classify every AI action into tiers:
    • minimal (code formatting) → auto-allow
    • limited (code generation) → allow + audit
    • high (deploy, DB migration) → ask + human approval
    • unacceptable (mass PII collection) → deny always
  5. [REQ] Audit trail retention. Audit logs retained per regulatory minimum (EU AI Act: 6 months post-deployment; ISO: per org policy). runtime/audit.py rotation respects this.
  6. [REQ] Data residency. Flag actions that move data across residency boundaries (PDPL for Saudi, GDPR for EU). Cross-boundary = WARN + LEGAL review.
  7. [REQ] Right to explanation. Every high-tier action must produce a human-readable explanation from the audit trail. audit.read_entries() + composite_identity.resolve().
  8. [REQ] Model card. Every model in runtime/agent_catalog.py has a model card: provider, tier, training cutoff, known limitations.
  9. [REQ] Incident reporting. workflows/19-incident-response.md extended with regulatory notification timelines (EU AI Act Article 73: 15 days for ordinary serious incidents, 2 days for widespread infringement or critical-infrastructure disruption, 10 days where a death occurred).
  10. [REQ] Conformity assessment. Before release, run aizee compliance check — maps all rules to regulatory articles and reports coverage gaps.
  11. [REQ] Documentation as evidence. Memory.md, CHANGELOG.md, spec.md serve as compliance evidence. Stale docs = compliance gap.
  12. [REQ] Third-party AI. Any third-party AI tool (Cursor, Claude, Copilot) used in the SDLC must be registered in runtime/agent_catalog.py with its risk tier.
  13. [PROHIBIT] Deploying a high-tier AI action without human approval + audit trail.
  14. [PROHIBIT] Deleting audit logs before regulatory retention minimum.
  15. [PROHIBIT] Cross-residency data movement without LEGAL persona review.
  16. [PROHIBIT] Claiming compliance without a completed aizee compliance check report.
  17. [REQ] EU AI Act Digital Omnibus. Regulation (EU) 2026/1744 published 24 July 2026, in force 27 July 2026. Annex III high-risk deferred to 2 December 2027. Annex I high-risk deferred to 2 August 2028. Article 5 original prohibitions in force since 2 February 2025; Digital Omnibus new prohibitions effective 2 December 2026. Article 50 transparency (chatbot disclosure, AI-content labeling) in force 2 August 2026 — NOT deferred. Penalties up to €35M or 7% of global turnover.
  18. [REQ] UAGT crosswalk. Map aiZee rules to Unified AI Governance Taxonomy (8 regulation-stable domains) reconciling ISO 42001, NIST AI RMF, and EU AI Act. One audit, three frameworks.
  19. [REQ] ISO 42001 UKAS certifications. UKAS-accredited certifications went live January 2026. ISO 42001 is now procurement table stakes. EU AI Act Article 40 allows harmonized standards (likely ISO 42001) for presumption of conformity.
  20. [REQ] MITRE mapping. Map aiZee detection rules to MITRE ATLAS v2026.06, ATT&CK v19.1, CWE 4.20, and CSA AI Controls Matrix v1. Cross-reference with OWASP LLM/ASI Top 10s.
  21. [REQ] Article 50 transparency. Ensure AI-generated content is labeled, chatbot disclosure is present, and deepfake detection metadata is attached. Non-compliance = penalty.
  22. [REQ] Incident notification timelines. EU AI Act Article 73: 15 days for ordinary serious incidents (Art 73(2)); 2 days for widespread infringement or serious and irreversible disruption of critical infrastructure (Art 73(3)); 10 days where a person has died (Art 73(4)). Update workflows/19-incident-response.md with regulatory notification templates per tier.
  23. [ALIGN] Gartner/Forrester market alignment. Align aiZee governance features with Gartner Magic Quadrant for Enterprise AI Coding Agents (May 2026) [VERIFY: cite licensed copy] and Forrester Agentic Development Platforms Landscape, Q3 2026 (RES198045) [VERIFY: cite licensed copy]. 12-field audit schema for procurement. These are market alignment targets, NOT legal compliance requirements.
  24. [REQ] Vendor independence. Position against market consolidation (Promptfoo→OpenAI, Portkey→Palo Alto, Langfuse→ClickHouse, Helicone→Mintlify, Lakera→Check Point). Open, self-hostable governance = competitive moat.
  25. [PROHIBIT] Claiming EU AI Act compliance without Digital Omnibus deadline tracking.

Read the full file on GitHub · 96 lines

Changes

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.

  1. 4d ago Changed 11527db48749
  2. 6d ago Changed · +9 lines d1f6ed55b3e6
  3. 12d ago First seen · 87 lines · 40 tokens per session scan A cd040a1965df

Subscribe to this mod's changes

compliance-lord is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,892 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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