COMPLIANCE_CHECK

Apply the OpenAI SDK compliance checklist to audit files or directories and produce a Markdown report with findings and suggested fixes. Use when asked to "check compliance", "run compliance check", or "audit against OpenAI SDK rules".

diegosouzapw/awesome-omni-skill·0installs62stars

SKILL.md

Full skill instructions

COMPLIANCE CHECK

Owner: QA

Goal

Audit a target (file set or directory) against .claude/checklists/openai-sdk-compliance-checklist.yaml and deliver a Markdown report with evidence and actionable fixes.

Workflow

1. Load Inputs

Read target_path (file, directory, or list).
Respect context: apply strictly to agent implementations, tools, and orchestration code.

2. Evaluate Rules

Process rules top-down (A1 → A11).
Apply activation_hint and stop_condition:
- Stop on first HIGH unless --exhaustive is requested.
- Stop if findings_count > 25.
Enforce Kira Constitution and OpenAI Agents SDK standards:
- A1. Primitives Only: Orchestration uses only run()/Runner.run() and handoff(); no extra verbs like routeAgent or pipeTo.
- A2. Tool Categories Valid: Every tool is one of: Function | Hosted | Agent-as-Tool | MCP.
- A3. No Custom Routing: No bespoke agent-to-agent communication (axios/fetch/custom) beyond SDK patterns.
- A4. Tool Input Schema (Zod): All tools define parameters via tool({ parameters: z.object({...}) }).
- A5. Structured Outputs (Zod): Agents with non-text outputs declare outputType: z.object({...}).
- A6. Single RunContext<T>: One canonical RunContext<T> shared across agents/tools/guardrails.
- A7. History Threading: Conversation history flows via result.history → next run().
- A8. Model Settings Casing: Uses modelSettings.toolChoice (camelCase), not tool_choice.
- A9. Tracing Enabled/Declared: Tracing wired to Langfuse (or explicitly disabled with rationale).
- A10. Vision & Whisper Usage: Use OpenAI Vision for images/PDFs and Whisper for audio; custom file analysis only for text formats.
- A11. Deterministic IDs via Context: IDs (userId, wid, aid, etc.) come from RunContext; never inferred or generated by agents.
For each rule:
- Mark PASS/FAIL with evidence (file path + line/snippet).
- For FAIL, provide a concrete fix that matches the rule’s fix guidance.
- Preserve severity and autofix flags from the checklist.

3. Apply Lean Guards

Do not expand scope beyond meta.scope.
Prefer small, safe fixes.
Refactor only when required by a rule.
Skip large migrations.
If a standard conflicts with a functional requirement, flag it for manual review rather than forcing a breaking change.

4. Produce Report

Follow the checklist output_schema.
Include:
- Summary: counts by severity + decision (READY | NEEDS_REVISION | BLOCKED).
- Findings: list items with id, severity, file, symbol (if known), evidence, fix, autofix.
- Suggestions: targeted next steps based on findings.

5. Save Output

Write Markdown to docs/qa/reports/compliance-{{target_slug}}.md.
Create directories if missing.

Anti-Patterns

Do not mark PASS without evidence.
Do not invent IDs, symbols, or file paths.
Do not ignore severity: HIGH violations.
Do not propose custom orchestration verbs or "clever" routing logic that bypasses the SDK.
Do not recommend using raw tool_choice or messages arrays without SDK types.
Do not allow UUID generation inside agents (must come from context).

Install skill

Copy and run in your terminal

npx -y skills add https://github.com/diegosouzapw/awesome-omni-skill --skill compliance_check-kyteapp

View on GitHub

skills/data-ai/compliance_check-kyteapp/SKILL.md

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