penwyp/claudepreference/doc-code-review-report
Claude Code and agent skill by penwyp/claudepreference
- community
Checking that the SKILL.md file is still in the repository.
Review text input or documents against the local codebase and produce a structured review report with findings and refactor suggestions. Use when the user provides requirements, design notes, API docs, Markdown analysis, PR text, or other written material and asks for a full review covering logic flaws, bugs, frontend-backend contract mismatches, TODOs, empty or fake implementations, missing behavior, or inconsistencies between the text and the code.
Install
npx vskill@latest install penwyp/claudepreference/doc-code-review-reportSKILL.md
Doc Code Review Report
Overview
Review the user's text or document as a claim source, then verify those claims against the real codebase. Produce an evidence-backed review report, not a summary, and separate confirmed issues from inference.
Read references/report-template.md only when you need a ready-made report scaffold.
Workflow
- Normalize the review input.
- Accept plain text, Markdown, notes, PR descriptions, API docs, or design documents.
- Extract concrete claims: intended behavior, request flow, data fields, state changes, error handling, and unfinished work markers.
- If the input is broad, narrow it to the specific flow, module, or interface under review.
- Locate the implementation before judging it.
- Find the real entry points first: routes, pages, handlers, services, schedulers, workers, repositories, generated clients, OpenAPI specs, or protocol types.
- Prefer concrete call paths over keyword-level guesses.
- If the document describes a frontend flow, trace both UI state transitions and backend requests.
- Verify behavior claim by claim.
- Check whether the implemented logic matches the stated requirement or document claim.
- Distinguish:
- documented but not implemented
- implemented but undocumented
- implemented differently from the document
- behavior cannot be confirmed from current code
- Review for correctness and bug risk.
- Look for broken conditions, missing branches, invalid assumptions, stale state, race windows, missing null or empty handling, unchecked errors, and inconsistent data transformations.
- Treat "works on happy path only" as a real finding when failure branches are absent or contradicted by the input document.
- Cross-check frontend and backend contracts when the flow crosses layers.
- Confirm method, path, path params, query params, body fields, enum values, response fields, and error shapes.
- Compare frontend request builders, generated API clients, backend handlers, service DTOs, protocol definitions, and local OpenAPI or schema files.
- Flag mismatches such as renamed fields, optional-vs-required drift, type drift, enum drift, and response shape assumptions unsupported by backend code.
- Inspect unfinished or fake code paths.
- Search for
TODO,FIXME,HACK,unimplemented,panic, placeholder branches, dummy return values, feature flags that permanently short-circuit logic, or test doubles leaking into production paths. - Also inspect "empty success" implementations: functions that return
Ok,true, empty arrays, empty structs, or stub messages without real side effects.
- Write the review report as reviewer findings first.
- Order findings by severity and user impact.
- Include file references for each confirmed finding.
- Separate evidence from inference and list open questions only when they block certainty.
- End with concrete refactor or remediation suggestions instead of vague advice.
Review Dimensions
逻辑问题: The code path does not satisfy the described business rule, state machine, or control flow.BUG风险: The implementation can panic, silently fail, corrupt state, skip validation, or produce incorrect data.前后端接口不一致: The client and server disagree on contract shape, endpoint usage, or state assumptions.TODO/空实现/假实现: The code advertises completion but contains placeholders, inert branches, or no-op behavior.文档与代码不一致: The provided text claims behavior that the code does not implement, or omits behavior the code already has.
Evidence Rules
- Prefer direct evidence from source code, generated clients, schema files, and route definitions.
- Do not claim an interface mismatch unless both sides were checked.
- Do not treat naming differences alone as bugs unless they affect data flow or runtime behavior.
- When the document is ambiguous, say so and downgrade certainty instead of filling gaps with assumptions.
- If a missing implementation may live outside the current repository, state that boundary explicitly.
Output Format
Use concise sections in this order:
Review scopeOverall assessmentFindingsContract checkTODO / stub / fake implementation checkRefactor suggestionsOpen questions
For Findings, use one flat bullet per issue and keep this shape:
- Severity label:
Critical,High,Medium, orLow - Problem statement
- Why it is wrong or risky
- Evidence with file references
- Suggested fix direction
If no confirmed findings exist, say that explicitly and still report residual risk or unchecked areas.
Practical Search Pattern
- Read the user text and extract the key claims or promised behavior.
- Find the owning module and real execution path in code.
- Trace request and response shapes across boundaries.
- Search for unfinished markers and fake return paths in the relevant scope.
- Write findings first, then remediation guidance.
Guardrails
- Do not stop at summarizing the document.
- Do not trust comments or docs over executable code without saying so.
- Do not list style nits unless the user explicitly asks for style review.
- Do not dilute the report with low-signal observations when higher-risk issues exist.
- Do not merge multiple independent problems into one bullet; keep each finding atomic.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/doc-code-review-report/SKILL.md
Popularity
- Repository stars
- 141
- Repository forks
- 20
- 7-day trend score
- 25
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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