Refactor high-complexity React components in Dify frontend. Use when `pnpm analyze-component...
npx skills add KyteApp/growth-agents-and-skills --skill "COMPLIANCE_CHECK"
Install specific skill from multi-skill repository
# Description
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".
# SKILL.md
name: COMPLIANCE_CHECK
description: 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".
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 β A11).
- Apply
activation_hintandstop_condition: - Stop on first HIGH unless
--exhaustiveis requested. -
Stop if findings_count > 25.
-
Enforce Kira Constitution and OpenAI Agents SDK standards:
- A1. Primitives Only: Orchestration uses only
run()/Runner.run()andhandoff(); no extra verbs likerouteAgentorpipeTo. - 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
: One canonical RunContext<T>shared across agents/tools/guardrails. - A7. History Threading: Conversation history flows via
result.historyβ nextrun(). - A8. Model Settings Casing: Uses
modelSettings.toolChoice(camelCase), nottool_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 ruleβs
fixguidance. - Preserve
severityandautofixflags 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: HIGHviolations. - Do not propose custom orchestration verbs or "clever" routing logic that bypasses the SDK.
- Do not recommend using raw
tool_choiceormessagesarrays without SDK types. - Do not allow UUID generation inside agents (must come from context).
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.