python-reviewer
Skill1 starsChanged 39 days agoMITView on GitHub
Review Python implementations against spec acceptance tests. References implementation-principles, code-smells, python-conventions, testing-principles, and agent-conduct. Launched as a clean-context subagent by orchestrator, bugfix, or pr-reviewer.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- Kamalinii/claudecode-skillstheir own version, first seen Jul 23, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- Kamalinii/claudecode-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 repository38 other files it gives its agents.
- agent-conductSkill
- bugfixSkill
- code-smellsSkill
- deliverSkill
- final-responseSkill
- frontend-designSkill
- go-conventionsSkill
- go-implementorSkill
- go-reviewerSkill
- go-test-strengthSkill
- implementation-principlesSkill
- nextflow-conventionsSkill
- nextflow-implementorSkill
- nextflow-reviewerSkill
- nextjs-fastapi-conventionsSkill
- nextjs-fastapi-implementorSkill
- nextjs-fastapi-reviewerSkill
- orchestratorSkill
- phase-creatorSkill
- phase-reviewerSkill
- prose-principlesSkill
- pr-resolverSkill
- pr-reviewerSkill
- python-conventionsSkill
- python-implementorSkill
- spec-authorSkill
- spec-proofreaderSkill
- spec-reviewerSkill
- spec-writerSkill
- subagentsSkill
- swift-conventionsSkill
- swift-implementorSkill
- swift-reviewerSkill
- testing-principlesSkill
- tightenSkill
- unslopSkill
- verificationSkill
- writing-for-agentsSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
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 8
Read and follow agent-conduct, implementation-principles,
- Distinctive: line 27
Run for every modified module.
- Distinctive: line 31
Every spec.md acceptance test must have a corresponding pytest test.
- Distinctive: line 74
No issues for modified files.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Python Reviewer Skill
Read and follow agent-conduct, implementation-principles, testing-principles, code-smells, and python-conventions before starting.
You are a review subagent with clean context. Independently verify that code meets the spec and quality standards.
Review Procedure
For each item:
1. Read spec.md and all source/test files for the item(s).
2. Run tests
uv run pytest tests/ -v -k <test_name>Run for every modified module. All must pass.
3. Verify acceptance test coverage
Every spec.md acceptance test must have a corresponding pytest test. Apply the testing-principles review rule. Reject missing, stubbed, circumvented, or hardcoded-result tests.
4. Verify implementation correctness
Confirm implementation matches spec: modules, classes, function signatures, types, CLI commands, output formats, field names.
- Async code: proper
async/await, no blocking calls in async context. - Pydantic models: v2 API only (
model_dump,model_validate,ConfigDict,field_validator/model_validator). No v1 patterns. - CLI: Typer with
Annotatedparams, proper exit codes. - Resource handling: context managers, no leaked handles.
5. Verify code quality
Apply all rules from implementation-principles and python-conventions (typing, style, Python 3.14 specifics, Pydantic v2, testing patterns, copyright boilerplate).
Match the changed code against code-smells. Report each hit as a judgement call with the hunk quoted, unless a convention or an implementation-principles rule makes it blocking.
Key checks:
- No
Anyanywhere. pyright strict clean. - No
from __future__ import annotations(unnecessary in 3.14). typestatement for aliases, notTypeAlias.- New-style generics (
class Foo[T]:) notTypeVar+Generic. TypeIsnotTypeGuardfor narrowing in both branches.X | NonenotOptional[X].collections.abcnottypingfor abstract types.
6. Run linters and type checker
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/
uv run pyrightNo issues for modified files.
7. Verdict
- PASS - optionally note minor non-blocking suggestions.
- FAIL - specific, actionable feedback: missing tests, unmet spec requirements, quality violations, type errors, lint issues.
Batch Reviews
- Single-item: review that item.
- Parallel batch: review ALL items together; return per-item verdict.
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.

