Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Deeply analyzes Agent Studio framework structural health: catching phantom require() references, wrong module depth paths, missing skill/agent dependencies, bloated configurations, archived references in active code, stale catalog counts, and empty tool/skill directories.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Automated structural integrity scanner for the entire Agent Studio framework.
Catches issues that silently break agent workflows: wrong require() paths that
crash at runtime, phantom skills referenced in agent frontmatter that don't exist
on disk, stale agent registry counts, archived references still active in
production code, UTF-16 encoding that breaks parsers, and bloated agent configs.
Core principle: Framework structural issues are pre-production bugs. A phantom
skill reference means an agent will fail silently. A broken require() means a hook
crashes at the wrong moment. The scanner enforces zero-tolerance for these.
Skill({ skill: 'ecosystem-integrity-scanner' });
Invoke proactively after:
Invoke before starting this skill:
| Skill | Purpose | When |
|---|---|---|
task-management-protocol | Track scan progress | Always |
ripgrep | Fast targeted code search | When investigating |
code-semantic-search | Concept discovery | When pattern hunting |
context-compressor | Compress large audit results | When output is large |
verification-before-completion | Gate completion on zero errors | Before marking done |
memory-search | Check prior audit patterns | At start |
Always run from project root. validate-ecosystem-integrity.cjs resolves all
paths relative to process.cwd(). Running from a subdirectory corrupts all path
resolution. Never invoke from a non-root directory.
Never ignore PHANTOM_REQUIRE errors. A [PHANTOM_REQUIRE] error means a hook
or script will throw MODULE_NOT_FOUND at runtime. These always represent real
breakage — no false positives once the scanner is properly calibrated.
Never mark scan complete while errors > 0. Warnings are advisory; errors are blocking. Report path and severity but do not call the pipeline done until errors reach zero or are explicitly accepted as known exceptions with owner annotation.
Always route HIGH errors to specialist agents. Phantom skills → qa agent.
Broken require() → developer agent. Archive refs in production → developer.
Never attempt to remediate complex structural failures inline without delegation.
Always save the audit report before completing. Write the categorized findings
to .claude/context/reports/qa/ecosystem-integrity-report-{ISO-date}.md before
calling TaskUpdate(completed). Evidence must persist across context resets.
| Anti-Pattern | Risk | Correct Approach |
|---|---|---|
Treating [STALE_CATALOG] as informational noise | Registry drifts from reality; agents get wrong counts | Always update agent-registry.json when agent files change |
| Skipping scan after bulk framework batch ops | Batch ops most commonly create phantom refs | Run scan as the FINAL step of every batch operation |
| Manually patching require() paths without re-scanning | One fix may mask three new breaks | Always re-run full scan after patching paths |
Running scanner against _archive/ subtrees | Archive content has intentionally broken refs; false positives | Scanner skip rules handle this; trust the skip list |
Adding to DYNAMIC_SCRIPT_GENERATORS without review | Accidentally suppressing real phantom detections | Only add files that provably generate child scripts |
node scripts/validation/validate-ecosystem-integrity.cjs
The script performs six targeted checks:
[PHANTOM_REQUIRE] — Broken require() / import paths that resolve to
non-existent files (after trying .js, .cjs, .mjs, .json extensions).[PHANTOM_SKILL] — Skills listed in agent frontmatter skills: arrays that
have no corresponding .claude/skills/{name}/ directory.[EMPTY_DIR] — Empty directories in .claude/tools/ or .claude/skills/
that indicate abandoned scaffolding creating registry footprinting issues.[ENCODING] — Files with UTF-16 BOM (0xFEFF/0xFFFE) that break JSON/MD
parsers silently.[ARCHIVED_REF] — Production .claude/ code that still references
_archive/ or .claude/archive/ paths — active code pointing at dead modules.[STALE_CATALOG] — agent-registry.json entry count differs from actual
agent .md file count on disk (drift between manifest and reality).Parse outputs into a structured report at
.claude/context/reports/qa/ecosystem-integrity-report-{ISO-date}.md:
# Ecosystem Integrity Report
<!-- Agent: qa | Task: #{id} | Session: {date} -->
**Date:** YYYY-MM-DD
**Overall Status:** PASS / FAIL
**Errors:** N | **Warnings:** N
## HIGH — Runtime Blocking (must fix before deployment)
- `[PHANTOM_REQUIRE]` — Module resolution failures that crash hooks/scripts
- `[PHANTOM_SKILL]` — Missing skills that break agent workflows silently
## MEDIUM — Structural Integrity (fix in current sprint)
- `[ARCHIVED_REF]` — Active code pointing at archived/dead modules
- `[STALE_CATALOG]` — Registry count mismatch with actual agent files
## LOW — Housekeeping (fix in next maintenance window)
- `[EMPTY_DIR]` — Ghost directories creating registry noise
- `[ENCODING]` — UTF-16 files that may break parsers
Delegate fixes to the correct specialist:
| Error Type | Spawn Agent | Task Description |
|---|---|---|
[PHANTOM_REQUIRE] | developer | Fix broken require() path in {file} |
[PHANTOM_SKILL] | qa | Remove or create missing skill {name} |
[ARCHIVED_REF] | developer | Replace archive reference in {file} |
[STALE_CATALOG] | developer | Regenerate agent-registry.json |
[EMPTY_DIR] | developer | Remove empty directory {path} |
[ENCODING] | developer | Re-encode {file} as UTF-8 |
After fixes, re-run the scanner and verify errors reach zero before completion.
Before starting:
cat .claude/context/memory/learnings.md
cat .claude/context/memory/issues.md
Review prior audit patterns and known suppressed false positives.
After completing:
.claude/context/memory/learnings.md.claude/context/memory/decisions.md.claude/context/memory/issues.mdAssume interruption: If the audit report isn't saved to disk, it didn't happen.
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Ensure accessibility in UI components including semantic HTML, ARIA attributes, keyboard navigation, and WCAG 2.2 AA compliance.
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Use when you want to improve response quality through meta-cognitive reasoning. Applies 15+ reasoning methods to reconsider and refine initial outputs.
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N-round opposing-stance debates for trade-off analysis. Assigns pro/con roles to agents, runs structured debate rounds with quality scoring, and produces a moderator synthesis with confidence-rated recommendation. Generalizable to architecture, technology, security, and design decisions.
中文简介正在准备中。当前显示原文说明。
Force adversarial code review stance that eliminates confirmation bias — reviewer must find issues or re-analyze
中文简介正在准备中。当前显示原文说明。
Creates specialized AI agents on-demand when no existing agent matches a request. Use when the Router cannot find a suitable agent for a task. Enables self-evolution by generating persistent agents.
中文简介正在准备中。当前显示原文说明。
LLM-as-judge evaluation framework with 5-dimension rubric (accuracy, groundedness, coherence, completeness, helpfulness) for scoring AI-generated content quality with weighted composite scores and evidence citations
中文简介正在准备中。当前显示原文说明。