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Yeachan-Heo/omc-review

Yeachan-Heo

omc-review

Evaluate finished work for defects, risk, and simplification before it ships

NewUpdated Oct 13, 2026

Review

Use this skill to evaluate work that already exists. Review never authors the change it is judging.

This is the canonical review workflow. merge-readiness routes here, and ai-slop-cleaner is an opt-in lane within it.

Goal

Find what is actually wrong, ranked by severity, with enough detail to act on.

Workflow

  1. Establish what changed and what it was meant to do.
  2. Read the change against that intent.
  3. Check correctness first, then risk, then simplification.
  4. Verify each candidate finding before reporting it.
  5. Report findings most-severe first.

What to check

  • Correctness — logic defects, edge cases, error paths, concurrency
  • Risk — security boundaries, destructive operations, data integrity
  • Reuse — existing utilities or patterns the change should have used
  • Simplification — code that could be deleted or collapsed
  • Coverage — behavior that ships untested

Two axes, run apart

A substantial diff is reviewed as two parallel sub-agent passes, reported separately — never merged or cross-ranked, because a change can pass one axis and fail the other (standards-conforming but wrong behavior; faithful but convention-breaking):

  • Standards axis — the diff against the repo's documented standards plus a judgement-call-only smell baseline; anything tooling already enforces is skipped. The standards set is discovered, not assumed: search the repo for standards documents (CLAUDE.md/AGENTS.md, docs/standards/ volumes, CONTRIBUTING.md, CODING_STANDARDS.md or equivalents) and review against whatever exists — a standards file you didn't look for is a standard you didn't apply.
  • Intent axis — the diff against what the work was meant to do — the task, spec, or ticket acceptance criteria: requirements missing or partial, behavior nobody asked for, each finding quoting its source line.

Keep each sub-agent brief under ~400 words and pointed at one axis. Aggregate without picking a single winner across axes — that reranking is what the separation exists to prevent; state each axis's verdict on its own. A small diff stays one pass.

Rules

  • Separate lanes: the reviewer must not be the author's same active context.
  • Verify before reporting. A plausible-sounding finding that does not reproduce is noise.
  • State severity honestly; do not pad the list to look thorough.
  • "No findings" is a valid result when the work is sound.
  • Advisory by default — review informs, it does not gate. Hard gates (release, security, destructive operations) stay separate and fail closed.

Output

  • Findings, most-severe first, each with file, line, and concrete failure scenario
  • What was checked and found clean
  • Anything that could not be assessed
Files1
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Overall Score

82/100

Grade

B

Good

Grades are signals, not a certification. Always review a skill yourself before use.

Safety

88

Quality

80

Clarity

85

Completeness

75

Summary

The omc-review skill provides a structured workflow for AI agents to evaluate completed work against documented defects, risks, and simplification opportunities before shipping. The skill operates as a read-only code reviewer that never authors changes; it establishes intent, reads the diff against that intent, and reports findings ranked by severity across two independent axes (standards conformance and task fulfillment).

Detected Capabilities

file read (diffs, standards docs)text analysis and pattern matchingcode review judgmentstructured finding synthesis

Trigger Keywords

Phrases that agents use to match this skill to user intent.

code review defectspre-merge auditsecurity risk checksimplification candidatesstandards conformancetest coverage gaps

Use Cases

  • Review pull requests for correctness defects before merge
  • Audit code changes for security and data integrity risks
  • Identify simplification opportunities in committed code
  • Validate test coverage for shipped behavior
  • Check adherence to project coding standards without assuming external standards

Quality Notes

  • Excellent scope clarity: skill explicitly states it never authors changes and operates read-only
  • Well-documented multi-axis review framework separates standards conformance from intent validation to prevent conflation of concerns
  • Clear verification gate: requires plausible findings to be reproduced before reporting, reducing false positives
  • Strong epistemic honesty: permits 'no findings' results and encourages severity accuracy over thoroughness padding
  • Standards discovery is self-service (searches for CLAUDE.md, CONTRIBUTING.md, docs/standards/) rather than assumed, reducing false negatives
  • Workflow is concrete and traceable: five-step process with clear checkpoints (establish intent, read diff, check correctness/risk/simplification, verify, report)
  • Intentional advisory posture: review informs rather than gates, with explicit note that hard gates (security, destructive ops) remain separate
  • Brief output guidance lacks implementation detail for large diffs or multi-file changes
  • No guidance on how to handle insufficient context (missing spec, vague ticket, conflicting requirements)
Model: claude-haiku-4-5-20251001Analyzed: Oct 13, 2026

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Version History

  1. v1.4

    Content updated

    ✦ AIExpands Standards axis guidance to require active discovery of standards documents in the repo rather than relying on a fixed list.

    2026-10-13

    LATEST
  2. v1.3

    Content updated

    ✦ AIAdds LICENSE file.

    2026-10-07

    View This Version
  3. v1.2

    Content updated

    ✦ AIRemoves LICENSE file.

    2026-10-06

    View This Version
  4. v1.1

    Content updated

    ✦ AIIntroduces two-axis review process for substantial diffs (Standards and Intent axes), kept separate and not cross-ranked.

    2026-10-02

    View This Version
  5. v1.0

    2026-08-31

    View This VersionInitial version

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