ln-641-pattern-fitness-auditor
Audits whether one implemented architectural pattern fits project needs and best practices. Use when checking pattern fitness.
- License 许可
- MIT
- 最近更新
- 2026-06-15
- Stars
- ★ 2
- Forks
- 1
01 前言 Front Matter
- name
- ln-641-pattern-fitness-auditor
- license
- MIT
- description
- Audits whether one implemented architectural pattern fits project needs and best practices. Use when checking pattern fitness.
- allowed-tools
- Read, Grep, Glob, Bash, mcp__hex-graph__find_implementations, mcp__hex-graph__find_symbols, mcp__hex-line__read_file, mcp__hex-line__grep_search, mcp__hex-line__outline
02 资源文件 9
- 参考文档references/audit_scoring.md1.1 KB
- 参考文档references/audit_summary_contract.md2.2 KB
- 参考文档references/audit_worker_core_contract.md1.8 KB
- 参考文档references/mcp_integration_patterns.md1.5 KB
- 参考文档references/mcp_tool_preferences.md2.3 KB
- 参考文档references/pattern_library.md24.4 KB
- 参考文档references/scoring_rules.md15.8 KB
- 参考文档references/templates/audit_worker_report_template.md1.6 KB
- 参考文档references/two_layer_detection.md1.5 KB
03 SKILL.md 正文
Paths: File paths (
references/,../ln-*) are relative to this skill directory.
Pattern Fitness Auditor
Type: L3 Worker
L3 Worker that analyzes a single architectural pattern against best practices and project needs.
Purpose & Scope
- Analyze ONE pattern per invocation (receives pattern name, locations, best practices)
- Find all implementations in codebase (Glob/Grep)
- Validate implementation exists and works
- Calculate 4 scores: compliance, completeness, quality, implementation
- Identify gaps and issues with severity and effort estimates
- Return structured analysis result
- Emit
KEEP_PATTERN,SIMPLIFY_PATTERN,COMPLETE_PATTERN, orREPLACE_PATTERN
Out of Scope:
- Cyclomatic complexity thresholds (>10, >20)
- Method/class length thresholds (>50, >100, >500 lines)
- Quality Score focuses on pattern-specific quality (SOLID within pattern, pattern-level smells), not generic code metrics
Inputs
- pattern: string # Pattern name (e.g., "Job Processing")
- locations: string[] # Known file paths/directories
- bestPractices: object # Best practices from MCP Ref/Context7/WebSearch
- output_dir: string # e.g., ".hex-skills/runtime-artifacts/runs/{run_id}/audit-report"
Note: If pattern evidence is provided by a managed run, use that evidence instead of rediscovering the same pattern from scratch.
Workflow
Detection policy: use two-layer detection (candidate scan, then context verification); load references/two_layer_detection.md only when the verification method is ambiguous.
Tool policy: follow host AGENTS.md MCP preferences; load references/mcp_tool_preferences.md and references/mcp_integration_patterns.md only when host policy is absent or MCP behavior is unclear.
Use hex-graph first when implementation discovery materially improves confidence. Use hex-line first for local code reads when available. If MCP is unavailable, unsupported, or not indexed, continue with built-in Read/Grep/Glob/Bash and state the fallback in the report.
Phase 1: Find Implementations
MANDATORY READ: Load references/pattern_library.md -- use "Pattern Detection (Grep)" table for detection keywords per pattern.
IF pattern.source == "adaptive":
# Pattern evidence was already provided by the caller
files = pattern.evidence.files
SKIP detection keyword search (already done in Phase 1b)
ELSE:
# Baseline pattern -- use library detection keywords
files = Glob(locations)
additional = Grep("{pattern_keywords}", "**/*.{ts,js,py,rb,cs,java}")
files = deduplicate(files + additional)
Phase 2: Read and Analyze Code
FOR EACH file IN files (limit: 10 key files):
Read(file)
Extract: components, patterns, error handling, logging, tests
Phase 3: Calculate 4 Scores
MANDATORY READ: Load references/scoring_rules.md -- follow Detection column for each criterion.
| Score | Source in scoring_rules.md | Max |
|---|---|---|
| Compliance | "Compliance Score" section -- industry standard, naming, conventions, anti-patterns | 100 |
| Completeness | "Completeness Score" section -- required components table (per pattern), error handling, tests | 100 |
| Quality | "Quality Score" section -- method length, complexity, code smells, SOLID | 100 |
| Implementation | "Implementation Score" section -- compiles, production usage, integration, monitoring | 100 |
Scoring process for each criterion:
- Run the Detection Grep/Glob from scoring_rules.md
- If matches found -> add points per criterion
- If anti-pattern/smell detected -> subtract per deduction table
- Document evidence: file path + line for each score justification
Phase 4: Identify Issues and Gaps
FOR EACH bestPractice NOT implemented:
issues.append({
severity: "HIGH" | "MEDIUM" | "LOW",
category: "compliance" | "completeness" | "quality" | "implementation",
issue: description,
suggestion: how to fix,
effort: "S" | "M" | "L"
})
# Layer 2 context check (MANDATORY):
# Deviation documented in code comment or ADR? -> downgrade to LOW
# Pattern intentionally simplified for project scale? -> skip
gaps = {
missingComponents: required components not found in code,
inconsistencies: conflicting or incomplete implementations
}
Phase 5: Calculate Score
MANDATORY READ: Load references/audit_worker_core_contract.md and references/audit_scoring.md.
Diagnostic sub-scores (0-100 each) are calculated separately and reported in AUDIT-META for diagnostic purposes only:
- compliance, completeness, quality, implementation
Phase 6: Write Report
MANDATORY READ: Load references/templates/audit_worker_report_template.md.
Write JSON summary per references/audit_summary_contract.md. In managed mode the caller passes both runId and summaryArtifactPath; in standalone mode the worker generates its own run-scoped artifact path per shared contract.
# Build pattern name slug: "Job Processing" -> "job-processing"
slug = pattern.name.lower().replace(" ", "-")
# Build markdown report in memory with:
# - AUDIT-META (extended: score [penalty-based] + diagnostic score_compliance/completeness/quality/implementation)
# - Checks table (compliance_check, completeness_check, quality_check, implementation_check)
# - Findings table (issues sorted by severity)
# - DATA-EXTENDED: {pattern, codeReferences, gaps, recommendations}
Write to {output_dir}/ln-641--{slug}.md (atomic single Write call)
Phase 7: Return Summary
Report written: .hex-skills/runtime-artifacts/runs/{run_id}/audit-report/ln-641--job-processing.md
Score: 7.9/10 (C:72 K:85 Q:68 I:90) | Issues: 3 (H:1 M:2 L:0)
Critical Rules
Apply the already-loaded references/audit_worker_core_contract.md.
- One pattern only: Analyze only the pattern provided in input
- Read before score: Never score without reading actual code
- Detection-based scoring: Use Grep/Glob patterns from scoring_rules.md, not assumptions
- Effort estimates: Always provide S/M/L for each issue
- Code references: Always include file paths for findings
- Unique angle: Audit one pattern's architectural fitness only. Do not audit generic code quality, dependency topology, package health, or runtime operations.
- Action required: Every finding uses
KEEP_PATTERN,SIMPLIFY_PATTERN,COMPLETE_PATTERN, orREPLACE_PATTERN.
Definition of Done
Apply the already-loaded references/audit_worker_core_contract.md.
- [ ] All implementations found via Glob/Grep (using pattern_library.md keywords or adaptive evidence)
- [ ] Key files read and analyzed
- [ ] 4 scores calculated using scoring_rules.md Detection patterns
- [ ] Issues identified with severity, category, suggestion, effort
- [ ] Gaps documented (missing components, inconsistencies)
- [ ] Recommendations provided
- [ ] Report written to
{output_dir}/ln-641--{slug}.md(atomic single Write call) - [ ] Summary written per contract
Reference Files
- Scoring rules:
references/scoring_rules.md - Pattern library:
references/pattern_library.md
Version: 2.0.0 Last Updated: 2026-02-08
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