engineering-review
Skill0 starsChanged 11 days agoMITView on GitHub
Use for requested code reviews or final self-review of non-trivial changes. Trace changed contracts and callers, identify actionable defects with evidence, and assess test, security and maintainability gaps without unrelated rewrites.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- rajfnu/agent-engineering-standardtheir own version, first seen Sep 23, 2026
- RedGranite/smartskilltheir own version, first seen Sep 11, 2026
- brenbuilds1/skillstheir own version, first seen Jul 25, 2026
- TelosTechnology/skillstheir own version, first seen Jul 17, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- brenbuilds1/skills★ 1same name
- TelosTechnology/skills★ 1same name
- rajfnu/agent-engineering-standard★ 0same name
- RedGranite/smartskill★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository34 other files it gives its agents.
- chatgpt/AGENTS.mdAGENTS.md
- opencode/AGENTS.mdAGENTS.md
- zcode/AGENTS.mdAGENTS.md
- claude/CLAUDE.mdCLAUDE.md
- agent-doc-authoringSkill
- agent-experienceSkill
- ai-image-promptsSkill
- api-behavior-flowSkill
- architecture-and-performanceSkill
- behavioral-testingSkill
- behavior-auditSkill
- browser-tabs-uiSkill
- code-qualitySkill
- context-compactSkill
- design-principlesSkill
- design-to-deliverySkill
- design-validationSkill
- e2e-test-authoringSkill
- excalidrawSkill
- external-ai-consultSkill
- google-omni-videoSkill
- llm-agent-tool-disciplineSkill
- parallel-subagentsSkill
- qa-test-scenariosSkill
- reliable-executionSkill
- research-and-reuseSkill
- server-security-hardeningSkill
- session-handoffSkill
- shadcn-librarySkill
- sudo-handoffSkill
- task-intakeSkill
- tauri-v2-docsSkill
- test-failure-triageSkill
- user-behavior-flowSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 3 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Read project instructions, current diff/base, changed functions and relevant callers/tests.
- Distinctive: line 18
Treat self-review as ownership of the delivered result, not a ceremonial checklist.
- Very specific: line 29
Check architecture boundaries and duplication against nearby implementations.
- Very specific: line 30
Check that tests prove the changed result and relevant failure cases.
- Distinctive: line 35
Avoid unrelated cleanup and hypothetical redesigns.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Engineering review
Purpose
Find concrete risks in the changed behavior before delivery.
When to use
Requested review or the final self-review of a meaningful implementation; not a full-repository audit by default.
Preconditions
Read project instructions, current diff/base, changed functions and relevant callers/tests. Identify pre-existing user changes; do not attribute them to this task.
Workflow
Treat self-review as ownership of the delivered result, not a ceremonial checklist. Scale depth to changed behavior and risk. In implementation work, fix concrete in-scope defects before delivery so the user need not supervise basic correctness; review-only requests still produce findings without edits. Keep the method flexible. Compare against maintained project examples for consistency, but distinguish established conventions from a reviewer's personal taste. For UI changes, also check continuity with the existing theme/brand, reuse of components and whether the actual user flow is complete. Cosmetic novelty is not an improvement by itself.
- Map each changed file to the requested outcome. Read full affected functions and contracts rather than reviewing isolated diff lines.
- Trace inputs, validation, null/error states, ownership/auth, side effects and async cleanup. Check shared consumers and backward compatibility.
- Check architecture boundaries and duplication against nearby implementations. Performance findings require a workload/complexity argument; use
architecture-and-performancefor deeper investigation. - Check that tests prove the changed result and relevant failure cases. Use
behavioral-testingor project testing skills for fixes; usedesign-validationfor rendered UI review. - Report actionable findings ordered by impact: location, concrete trigger, incorrect behavior, consequence, and minimal remedy. Label uncertainty; do not manufacture findings or make preference-only comments into defects.
- For a review-only request, report without changing code. For implementation self-review, repair in-scope defects, rerun affected checks and inspect the final diff.
Rules
Avoid unrelated cleanup and hypothetical redesigns. Never claim “no bugs” from a clean lint run. Do not publish review comments externally without authorization.
Common mistakes
Reading only the patch; ignoring callers; conflating style with correctness; claiming security from mocked tests; silently expanding a review into implementation.
Validation
Each finding is traceable to observed code or test evidence. State review scope and checks run/not run. No findings means no actionable defects found within that scope, not proof of correctness.
Does it work?
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

