name	specfact-code-review
description	Use for SpecFact code review workflows, especially when the user asks to remove AI bloat, simplify code, apply clean-code patterns, reduce boilerplate, fix review findings, or interpret SpecFact guidance.
allowed-tools	[]

SpecFact Code Review Skill

Updated: 2026-05-22 | Module: nold-ai/specfact-code-review

Use this skill as an interactive cleanup coach, not a raw lint executor. When a user says "remove AI bloat", "simplify", "apply clean code", "fix SpecFact review", or similar, run the SpecFact review workflow, explain decisions in the user's language, show exact patch previews, and validate after small changes.

DO

Treat specfact code review run --help as authoritative; use --instructions as the fallback AI workflow when prompts/skills are unavailable
For simplification queues, run specfact code review run --scope changed --focus simplify --json --out .specfact/code-review-simplify.json
Ask for walkthrough level when interactive: vibe coder, junior developer, senior/pro, or headless agent; auto-adjust if obvious
For vibe coders, present each finding as a decision card: plain-language issue, why it might need to stay, exact patch preview, validation plan, and recommended choice
Interpret guidance_kind: safe_mechanical may apply after local safety checks, needs_tests requires tests first, design_judgment needs human choice with intent evidence, preserve means keep and log preserve_reason
For design_judgment, inspect API, callback, framework hook, adapter, public symbol, CLI boundary, compatibility shim, and readability intent; if intent is unclear, default to keep or skip
Log each simplification action as recommended, applied, kept, skipped, failed, with evidence of improvement or preserved contract
In headless mode, process one file at a time and emit an action table: file, line, rule, guidance_kind, recommended_action, action_status, evidence
Run targeted tests or rerun simplify review after each accepted file or very small batch; if validation cannot prove safety, downgrade to needs_tests or skipped
For merge-quality review, run specfact code review run --scope changed --bug-hunt --json --out .specfact/code-review.json
Ask whether tests should be included before repo-wide review; default to excluding tests unless test changes are the target
Use intention-revealing names; avoid placeholder public names like data/process/handle
Keep functions under 120 LOC, shallow nesting, and <= 5 parameters (KISS)
Delete unused private helpers and speculative abstractions quickly (YAGNI)
Extract repeated function shapes once the second copy appears (DRY)
Split persistence and transport concerns instead of mixing repository.* with http_client.* (SOLID)
Add @require/@ensure (icontract) + @beartype to all new public APIs
Run hatch run contract-test-contracts before any commit
Write the test file BEFORE the feature file (TDD-first)
Return typed values from all public methods and guard chained attribute access

DON'T

Don't copy prompt templates into AI IDEs when this installed skill can carry the reusable workflow guidance
Don't treat simplification findings as AI-authorship proof or apply batch rewrites without explicit user approval
Don't ask non-expert users to infer code intent from a raw warning; provide the evidence and safest recommendation
Don't apply design_judgment findings just because the patch looks shorter
Don't enable known noisy findings unless you explicitly want strict/full review output
Don't use bare except: or except Exception: pass
Don't add # noqa / # type: ignore without inline justification
Don't mix read + write in the same method or call repository.* and http_client.* together
Don't import at module level if it triggers network calls
Don't hardcode secrets; use env vars via pydantic.BaseSettings
Don't create functions that exceed the KISS thresholds without a documented reason

TOP VIOLATIONS (auto-updated by specfact code review rules update)

SpecFact Code Review Skill

Updated: 2026-05-22 | Module: nold-ai/specfact-code-review

Treat specfact code review run --help as authoritative; use --instructions as the fallback AI workflow when prompts/skills are unavailable

For simplification queues, run specfact code review run --scope changed --focus simplify --json --out .specfact/code-review-simplify.json

Ask for walkthrough level when interactive: vibe coder, junior developer, senior/pro, or headless agent; auto-adjust if obvious

For vibe coders, present each finding as a decision card: plain-language issue, why it might need to stay, exact patch preview, validation plan, and recommended choice

Interpret guidance_kind: safe_mechanical may apply after local safety checks, needs_tests requires tests first, design_judgment needs human choice with intent evidence, preserve means keep and log preserve_reason

For design_judgment, inspect API, callback, framework hook, adapter, public symbol, CLI boundary, compatibility shim, and readability intent; if intent is unclear, default to keep or skip

Log each simplification action as recommended, applied, kept, skipped, failed, with evidence of improvement or preserved contract

In headless mode, process one file at a time and emit an action table: file, line, rule, guidance_kind, recommended_action, action_status, evidence

Run targeted tests or rerun simplify review after each accepted file or very small batch; if validation cannot prove safety, downgrade to needs_tests or skipped

For merge-quality review, run specfact code review run --scope changed --bug-hunt --json --out .specfact/code-review.json

Ask whether tests should be included before repo-wide review; default to excluding tests unless test changes are the target

Use intention-revealing names; avoid placeholder public names like data/process/handle

Keep functions under 120 LOC, shallow nesting, and <= 5 parameters (KISS)

Delete unused private helpers and speculative abstractions quickly (YAGNI)

Extract repeated function shapes once the second copy appears (DRY)

Split persistence and transport concerns instead of mixing repository.* with http_client.* (SOLID)

Add @require/@ensure (icontract) + @beartype to all new public APIs

Run hatch run contract-test-contracts before any commit

Write the test file BEFORE the feature file (TDD-first)

Return typed values from all public methods and guard chained attribute access

DON'T

Don't copy prompt templates into AI IDEs when this installed skill can carry the reusable workflow guidance

Don't treat simplification findings as AI-authorship proof or apply batch rewrites without explicit user approval

Don't ask non-expert users to infer code intent from a raw warning; provide the evidence and safest recommendation

Don't apply design_judgment findings just because the patch looks shorter

Don't enable known noisy findings unless you explicitly want strict/full review output

Don't use bare except: or except Exception: pass

Don't add # noqa / # type: ignore without inline justification

Don't mix read + write in the same method or call repository.* and http_client.* together

Don't import at module level if it triggers network calls

Don't hardcode secrets; use env vars via pydantic.BaseSettings

Don't create functions that exceed the KISS thresholds without a documented reason

TOP VIOLATIONS (auto-updated by specfact code review rules update)

specfact-code-review