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Skills Review and Polish

Skills Review and Polish

Mutl3y

|
4 installs
| (0) | Free
Authoring-time linter and surgical fixer for AI customizations (skills, instructions, agents, prompts). Finds contradictions, ambiguities, coverage gaps, and structural problems. VS Code extension provides AI-suggested fixes with diff preview for human review; MCP server returns proposed fixes for a
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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Skills Review and Polish

An authoring-time linter and fixer for AI customization files — helps you catch contradictions, ambiguities, coverage gaps, persona conflicts, and quality issues in your SKILL.md, *.instructions.md, *.prompt.md, *.agent.md, and AGENTS.md files.

Uses your GitHub Copilot subscription via the VS Code Language Model API — no API keys required.

✅ Status: v0.1.35 (ready for marketplace)

  • v0.1.35 — Recommended model qwen/qwen3-coder-30b-a3b-instruct (E29 benchmark), prompt fixes (-36% boilerplate at corpus scale), MCP analysisWaves param, deepModel config, cross-wave dedup rule. 459/459 tests pass.
  • Core analyzer with 6-wave analysis ✅
  • Surgical fixer with safety guards ✅
  • VS Code integration (diagnostics, code actions, hovers) ✅
  • Multi-provider support (Copilot, OpenRouter, GitHub Models) ✅
  • MCP server with 7 tools ✅
  • Analysis mode comparison (single/focused/multiWave) ✅
  • Trace logging for LLM debugging ✅

Features

Analysis

  • Detects contradictions, ambiguities, persona conflicts, structural issues, coverage gaps, and hygiene problems
  • Real-time VS Code diagnostics with severity levels and explanations
  • Smart multi-pass analysis with noise reduction (median-of-N scoring)
  • Analyze With Options — two-step modal: choose mode (Single / Focused / Multi-Wave) then toggle individual waves with checkboxes
  • Cancel — analysis can be cancelled any time via the VS Code progress notification Cancel button

Fixing

  • One-issue-at-a-time surgical fixes with safety guards
  • Human-in-the-loop: review each fix with a diff before applying
  • Intelligent risk classification prevents over-correction

Integration

  • Live VS Code squiggles, quick fixes ("Fix this issue"), and hover explanations
  • Full MCP server with 7 tools (analyze, fix, score, verify_fix, accept_finding, list_accepted_findings, health)
  • .skills-review.json config sync from VS Code settings
  • Markdown linting for documentation quality
  • Git hooks for pre-commit/pre-push validation

Quick Start

Install & Run

  1. Clone: git clone https://github.com/mutl3y/skills-review-and-polish.git
  2. Install: npm install
  3. Debug: npm run compile then press F5 in VS Code

Analyze Your Files

  1. Open any SKILL.md, *.instructions.md, *.prompt.md, or *.agent.md
  2. Run: Skills Review: Analyze This File (Cmd/Ctrl+Shift+P)
  3. View issues as VS Code squiggles
  4. Click "Fix this issue" to preview and apply fixes

Configuration

Open VS Code Settings and search "Skills Review":

  • enable — Turn on/off
  • provider — Which LLM to use (Copilot by default, or OpenRouter/GitHub Models)
  • model — Model id (use the Select Analysis Model command). For OpenRouter, the recommended model is qwen/qwen3-coder-30b-a3b-instruct (see Recommended OpenRouter Models)
  • analysisMode — multiWave (recommended), focused (contradictions + ambiguities), or single combined pass
  • logLevel — info (default), debug for detailed tracing, or trace for full LLM prompt/response logging

Tip: Use Analyze With Options (Command Palette) to pick mode and waves per-run without changing your settings.

Learn More

For End Users

  • User Guide → — Complete guide on how to use the extension (best starting point)
  • Tutorials → — Step-by-step walkthroughs (5–15 min each)
  • FAQs → — Common questions and answers
  • Architecture → — How the analyzer works and why we made these choices

MCP Server

The extension ships with a headless MCP (Model Context Protocol) server for CI/CD, automation, and external tooling.

Tool Description
analyze Run analysis waves, return JSON diagnostics. Use enabledWaves to select specific waves (contradictions, ambiguities, persona, structural, coverage, hygiene) or omit for all 6 waves.
fix Surgical fix for one issue (5 fixable codes)
score Quality score (0–100) + letter grade (A+ through F)
verify_fix Re-analyze to confirm a specific fix worked
accept_finding Suppress a known/expected finding
list_accepted_findings View all suppressed findings
health Check provider, model, and config source

Quick start:

npm run compile
npm run mcp   # starts stdio server

The server reads .skills-review.json from the workspace root (written by the Sync MCP Config command) or falls back to GITHUB_TOKEN env vars.

See src/mcp/README.md for full setup, client config examples, and the recommended agent workflow.

For Developers

Scripts

npm run compile        # TypeScript compilation
npm run lint           # ESLint check
npm run lint:md        # Markdown documentation lint
npm run test           # Run unit tests
npm run test:fixtures  # Regression suite on test corpus
npm run test:e2e       # Playwright smoke tests
npm run watch          # Watch mode

Core Modules

  • src/core/ — Analysis engine (6-wave analyzer, scoring, surgical fixer)
  • src/providers/ — LLM provider implementations (vscode.lm, OpenRouter, GitHub Models)
  • src/ui/ — VS Code integration (diagnostics, code actions, hovers)
  • src/extension.ts — Main activation and command wiring
  • tests/ — Unit and E2E test suites

Git Workflow

  • Pre-commit hooks enforce linting and type-checking
  • Pre-push hooks run the full test suite
  • Use git commit --no-verify only in emergencies

See DEVELOPMENT-STANDARDS.md for code quality guidelines, GIT-WORKFLOW.md for detailed git setup, and docs/plan/LEARNINGS.md for engineering context.

Contributing & Support

Report issues, request features, or contribute:

  • Open an issue
  • See CONTRIBUTING.md for contribution guidelines

Questions?

  • Start a discussion
  • Read DEVELOPMENT-STANDARDS.md for code patterns
  • Check docs/plan/LEARNINGS.md for engineering decisions

Security

This extension handles LLM API interactions and file system access. Security measures applied after Gilfoyle code review (2026-06-09):

  • API key redaction — Bearer tokens and API keys stripped from all error messages and status bar tooltips
  • Path traversal guards — references/ directory loader validates resolved paths stay within expected boundary; rejects symlinks
  • Workspace-root anchoring — Accepted findings and MCP config resolved from workspace root, not process.cwd()
  • Input size limits — MCP tools enforce MAX_TEXT_LENGTH to prevent runaway LLM costs
  • Concurrent analysis locks — Per-URI analysis serialization prevents race conditions on lastResults
  • Safe text replacement — Function-as-replacement prevents $-pattern corruption in surgical fixes

Report vulnerabilities to security@example.com rather than the issue tracker. See SECURITY.md.

License & Conduct

  • License: MIT — See LICENSE
  • Code of Conduct: Contributor Covenant
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