change-review
Skill0 starsChanged 22 days agoMITView on GitHub
Review code, test or documentation changes for problems in product semantics, correctness, data safety, architecture, privacy and regressions. Use it for code review and pre-delivery checks; it reports by default and doesn't edit. Don't use it when the user has asked you to implement the change directly.
10 other projects use a version of this.
Adopted by
Most recently taken up by
- hidetzu/claude-dev-templatetheir own version, first seen Nov 15, 2026
- amkisko/prayerstheir own version, first seen Nov 6, 2026
- BurakD/ai-engineering-harnesstheir own version, first seen Nov 1, 2026
- assistant-ui/assistant-uitheir own version, first seen Oct 25, 2026
- alfonsusenrico/pakemtheir own version, first seen Oct 25, 2026
- yuanJewel/skillstheir own version, first seen Oct 11, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- assistant-ui/assistant-ui★ 13ksame name
- goldenprofile/llm-skills★ 3same name
- amkisko/prayers★ 2same name
- flying-dice/pseudoscript★ 2same name
- yuanJewel/skills★ 2same name
- BurakD/ai-engineering-harness★ 1same name
- marinsokol5/change-review★ 1same name
- alfonsusenrico/pakem★ 0same name
- hidetzu/claude-dev-template★ 0same name
- straider911/claude-skills★ 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 repository7 other files it gives its agents.
- architecture-changeSkill
- idea-to-planSkill
- orchestrateSkill
- product-changeSkill
- quality-testingSkill
- start-projectSkill
- ui-experienceSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 12
Read the project rules, PRD, technical, interface or format sections the change touches.
- Distinctive: line 15
Don't widen the review to unrelated historical problems unless they directly affect the correctness of this change.
- Distinctive: line 27
Don't report pure style issues that formatters or existing linters catch reliably, unless they expose a real defect.
“Common” is measured: kept by at least 6 in 10 of the 9 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
Change review
The goal is to find real defects and delivery risks, not to fill the report with style preferences. Report by default; fix only when the user explicitly asks.
Set the scope
- Read the project rules, PRD, technical, interface or format sections the change touches; don't load unrelated material for a local change.
- Inspect the working tree, the target diff, relevant callers, configuration and tests, and separate this change from the user's existing modifications.
- Judge the target semantics by the PRD and the current implementation by code and tests; the tests themselves are under review too.
- Don't widen the review to unrelated historical problems unless they directly affect the correctness of this change.
Review order
- Product semantics, scope, and whether completion is being faked.
- Data corruption, compatibility, migration and recovery.
- Correctness, boundaries, async behaviour and lifecycle.
- Privacy, security, permissions and logging.
- Architectural responsibilities, dependency direction and single source of truth.
- Regression tests, failure paths and verification evidence.
- Maintainability, complexity and documentation consistency.
Don't report pure style issues that formatters or existing linters catch reliably, unless they expose a real defect. When the project has its own rules or invariants (in project docs or project skills), check them too.
What to look for
- Unfinished capabilities shown as successful, or mocks leaking into production paths.
- The UI layer touching databases, files, the network, payments or protocol details directly.
- Writes that can partially succeed, overwrite good data, or lose cancellation or retry state.
- Async results that can overwrite newer state after an object is disposed or its input changes.
- Swallowed errors, error classification that depends on fragile strings, logs containing sensitive data.
- Format or schema changes without versioning, migration, rollback and tests against old data.
- Tests that only check implementation details, or that cement wrong product behaviour as expected.
- Documentation and implementation status that don't match actual completeness.
Severity
P0: may cause data corruption, a security incident, a serious privacy problem, wrong charges or unrecoverable results.P1: a major functional error, a clear conflict with product semantics, or a likely regression.P2: an important missed boundary, weak recovery, inverted architecture or a key testing gap.P3: a non-blocking maintainability improvement with a clear benefit.
Severity describes impact, not personal preference.
Output
List findings first, ordered by severity. Each has the exact file and line, the trigger condition, the real impact and a workable direction for the fix; add open questions and verification gaps where needed. If nothing is found, say “no blocking issues found” and state the review scope, what was verified and which risks remain uncovered.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
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.

