Review
Compact evidence-driven development workflow skills for Codex CLI and Claude Code
npx -y skills add yyqqCoding/engineering-flow-skills --skill reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- 23 days oldThe repository was created 23 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Review a diff, branch, pull request, or work-in-progress change without applying fixes.
SKILL.md
2.3 KB, 427 tokens by cl100k_base, as published. Nobody here has run it
Review
Perform an evidence-backed, read-only review. Do not edit files, commit, or push.
1. Define the comparison
- Use the supplied fixed point when present.
- For a branch comparison, resolve the merge base and inspect commits plus the three-dot diff.
- For current uncommitted work, inspect staged, unstaged, and relevant untracked files against
HEAD. - Fail clearly on a bad reference or empty scope instead of reviewing the wrong change.
2. Recover intent
Read, in priority order:
- The user's current review request
- Project instructions
- The originating requirement, issue, design, or acceptance criteria
- Relevant tests and documentation
If no specification exists, state that the review can assess correctness risks and maintainability but not complete requirement fidelity.
3. Review independent axes
- Requirements: missing, partial, incorrect, or unrequested behavior
- Correctness: edge cases, failure handling, concurrency, state, and call-site impact
- Safety: permissions, trust boundaries, data integrity, destructive effects, compatibility, and accessibility
- Design: ownership, semantic reuse, false deduplication, abstraction cost, and unnecessary dependencies
- Readability: explicit flow/effects, meaningful names, local reasoning, debuggability, and unjustified novelty
- Tests: whether tests exercise stable public behavior and can detect the defect
- Documentation: stale or contradictory facts and requirements rewritten to fit implementation
- Scope: unrelated edits, temporary diagnostics, generated artifacts, and unauthorized operations
Apply the code-design pressure, ownership, and abstraction-cost standards when needed. Do not flag preferences already enforced by tooling or purely subjective alternatives with no maintenance impact.
4. Report findings
Order by impact. Each finding includes:
- Severity
- File and precise location
- Evidence from the diff and relevant requirement or invariant
- User-visible or maintenance impact
- Smallest credible correction direction
Do not hide important findings inside a summary. If no material findings exist, say so and note any verification gap.
What ships with it: 1 file
231 B alongside SKILL.md
agents/
- openai.yaml231 B