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Compliance Policy Check

  • 58 installs
  • 36 repo stars
  • Updated July 14, 2026
  • oimiragieo/agent-studio

Helps with ai & agent building tasks.

About

compliance-policy-check is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • compliance-policy-check
  • AI & Agent Building
  • AI-coding skill

Compliance Policy Check by the numbers

  • 58 all-time installs (skills.sh)
  • Ranked #6,517 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 4, 2026 (Skillselion catalog sync)
npx skills add https://github.com/oimiragieo/agent-studio --skill compliance-policy-check

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Listed on Skillselion
Installs58
repo stars36
Last updatedJuly 14, 2026
Repositoryoimiragieo/agent-studio

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Compliance Policy Check

Overview

Evaluate a design/plan against framework policy and rule constraints before execution. Use this for regulated or high-risk changes.

When to Use

  • Before creator workflows for new artifacts
  • Before HIGH/EPIC implementation phases
  • During reflection when repeated policy violations are observed

Iron Laws

1. NEVER execute or modify code during compliance checks — this skill assesses policy alignment only; any implementation must happen separately after compliance is confirmed. 2. ALWAYS run compliance check before HIGH/EPIC implementation — high-risk changes that bypass compliance checks create undetected policy drift that compounds over time into systemic violations. 3. ALWAYS report findings with specific remediation tasks and owning agent — vague "policy violation" reports without actionable remediation steps don't produce fixes; every FAIL and CONDITIONAL must include a concrete task. 4. NEVER report PASS on partial compliance — a plan that satisfies 80% of policies is a CONDITIONAL, not a PASS; partial compliance masks the remaining violations and gives false confidence. 5. ALWAYS recheck after remediation, not just once — a single compliance check before implementation is insufficient; verify again after major changes to confirm remediations are complete.

Workflow

Step 1: Gather Policy Context

  • Read relevant files in .claude/rules/
  • Read applicable workflow/agent constraints
  • Read enforcement hook docs if needed

Step 2: Evaluate Proposed Change

Assess against:

1. Creator guard and artifact lifecycle rules 2. Routing and specialist-first requirements 3. Security and quality gate requirements 4. Memory/search/token-saver policy expectations

Step 3: Produce Decision

Return one policy decision:

  • PASS: policy-aligned
  • CONDITIONAL: allowed with required mitigations
  • FAIL: not policy-compliant

Use this output shape:

{
  "decision": "PASS|CONDITIONAL|FAIL",
  "policyFindings": ["..."],
  "requiredMitigations": [],
  "evidencePaths": ["..."],
  "recommendedNextStep": "..."
}

Output Protocol

For CONDITIONAL and FAIL, include precise remediation tasks and ownership (agent type).

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Implementing code during compliance checkConflates assessment with implementationAssess only; implementation happens separately after PASS
Skipping compliance for "small" changesSmall changes introduce policy violations silentlyRun compliance check proportionally for all HIGH/EPIC work
Reporting PASS on partial complianceMasks unresolved violations; gives false confidenceReport CONDITIONAL with specific remediation required
Vague violation reports without remediationViolations aren't fixed without clear next stepsInclude agent, task, and target file for every FAIL/CONDITIONAL
Only checking once before implementationPost-change compliance drift goes undetectedRecheck compliance after major implementation changes

Memory Protocol

Record recurring policy drift patterns in .claude/context/memory/issues.md and stabilized controls in .claude/context/memory/decisions.md.

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