Comprehensive PR Review
SkillAI & modelsComprehensive code review using specialized agents — orchestrates code,
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Comprehensive PR Review skill
What this skill tells your AI
The instructions your AI receives, as published by opsmill/infrahub in .agents/skills/speckit-review-run/SKILL.md and read by ahel’s review.
Run a comprehensive pull request review using multiple specialized agents, each focusing on a different aspect of code quality.
Review Aspects (optional): "$ARGUMENTS"
Review Workflow:
-
Load Configuration
- Read the project config file at
.specify/extensions/review/review-config.yml(if it exists). - If the file does not exist, fall back to the
defaults.agentssection in the extension'sextension.yml. - Extract the
agentsmap — each key (code,comments,tests,errors,types,simplify) is a boolean toggle. - Agents set to
falseMUST be excluded from this run. Do not launch them.
- Read the project config file at
-
Determine Review Scope
- Parse arguments to see if user requested specific review aspects.
- If specific aspects were requested, run exactly those — config toggles do not apply (explicit user request overrides config).
- Default (no arguments): Run all applicable reviews that are enabled in config.
-
Available Review Aspects:
- comments - Analyze code comment accuracy and maintainability
- tests - Review test coverage quality and completeness
- errors - Check error handling for silent failures
- types - Analyze type design and invariants (if new types added)
- code - General code review for project guidelines
- simplify - Simplify code for clarity and maintainability
- all - Run all applicable reviews (default)
-
Identify Changed Files
- If the user provided a file list or explicit instructions on how to retrieve files (e.g., only staged, only unstaged, a specific folder, etc.), follow those instructions directly.
- Otherwise, you MUST execute the
.specify/scripts/bash/detect-changed-files.shwith--jsonto detect changed files. Do not attempt to detect changes by runninggitcommands directly, reading git state manually, or using any other method — always delegate to the script.- The script automatically picks the best detection mode:
- Mode A (feature branch): diffs the current branch against the default branch (
main/master) from the merge-base, plus any staged and unstaged changes. - Mode B (working directory): falls back to staged + unstaged changes when there is no feature branch (e.g., working directly on the default branch).
- Mode A (feature branch): diffs the current branch against the default branch (
- JSON output:
{"branch", "default_branch", "mode", "changed_files": [...]}
- The script automatically picks the best detection mode:
- Note: The folder containing the script may be excluded from version control or hidden by search indexing. You must still locate and execute it — do not skip it or substitute your own file-detection logic.
-
Determine Applicable Reviews
Based on changes and config toggles (skip any agent where
agents.<name>isfalse):- Always applicable (if enabled):
/speckit.review.code(general quality) - If test files changed (if enabled):
/speckit.review.tests - If comments/docs added (if enabled):
/speckit.review.comments - If error handling changed (if enabled):
/speckit.review.errors - If types added/modified (if enabled):
/speckit.review.types - After passing review (if enabled):
/speckit.review.simplify(polish and refine) - If an agent is disabled by config, note it in the final summary (e.g., "simplify: skipped (disabled in config)").
- Always applicable (if enabled):
-
Launch Review Agents
Sequential approach (one at a time):
- Easier to understand and act on
- Each report is complete before next
- Good for interactive review
Parallel approach (user can request):
- Launch all agents simultaneously
- Faster for comprehensive review
- Results come back together
-
Aggregate Results
After agents complete, summarize:
- Critical Issues (must fix before merge)
- Important Issues (should fix)
- Suggestions (nice to have)
- Positive Observations (what's good)
-
Provide Action Plan
Organize findings:
# PR Review Summary ## Critical Issues (X found) - [agent-name]: Issue description [file:line] ## Important Issues (X found) - [agent-name]: Issue description [file:line] ## Suggestions (X found) - [agent-name]: Suggestion [file:line] ## Strengths - What's well-done in this PR ## Recommended Action 1. Fix critical issues first 2. Address important issues 3. Consider suggestions 4. Re-run review after fixes
Usage Examples:
Full review (default):
/speckit.review.run
Specific aspects:
/speckit.review.run tests errors
# Reviews only test coverage and error handling
/speckit.review.run comments
# Reviews only code comments
/speckit.review.run simplify
# Simplifies code after passing review
Parallel review:
/speckit.review.run all parallel
# Launches all agents in parallel
Agent Descriptions:
comment:
- Verifies comment accuracy vs code
- Identifies comment rot
- Checks documentation completeness
tests:
- Reviews behavioral test coverage
- Identifies critical gaps
- Evaluates test quality
errors:
- Finds silent failures
- Reviews catch blocks
- Checks error logging
types:
- Analyzes type encapsulation
- Reviews invariant expression
- Rates type design quality
code:
- Checks project-specific guidelines (
.specify/memory/constitution.md,CLAUDE.md,.github/copilot-instructions.md, or equivalent) compliance - Detects bugs and issues
- Reviews general code quality
simplify:
- Simplifies complex code
- Improves clarity and readability
- Applies project standards
- Preserves functionality
Tips:
- Run early: Before creating PR, not after
- Focus on changes: Agents analyze diff by default
- Address critical first: Fix high-priority issues before lower priority
- Re-run after fixes: Verify issues are resolved
- Use specific reviews: Target specific aspects when you know the concern
Notes:
- Agents run autonomously and return detailed reports
- Each agent focuses on its specialty for deep analysis
- Results are actionable with specific file:line references
- Agents use appropriate models for their complexity
Signals
- GitHub stars
- 518
- Forks
- 59
- Last commit
- Sep 2026
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speckit-review-run- Source
- github.com/opsmill/infrahub