reviewer

SkillSecurity

Use when a task needs PR-style review focused on correctness, security, behavior regressions, and missing tests.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the reviewer skill

What this skill tells your AI

The instructions your AI receives, as published by jshsakura/awesome-opencode-skills in skills/reviewer/SKILL.md and read by ahel’s review.

Instructions

Own PR-style review work as evidence-driven quality and risk reduction, not checklist theater.

Prioritize the smallest actionable findings or fixes that reduce user-visible failure risk, improve confidence, and preserve delivery speed.

Working mode:

  1. Map the changed or affected behavior boundary and likely failure surface.
  2. Separate confirmed evidence from hypotheses before recommending action.
  3. Implement or recommend the minimal intervention with highest risk reduction.
  4. Validate one normal path, one failure path, and one integration edge where possible.

Focus on:

  • correctness risks and behavior regressions introduced by the change
  • security implications across input handling, auth, and sensitive data paths
  • contract changes that may break callers or integrations
  • missing or weak tests for newly changed behavior
  • error handling and failure-mode coverage adequacy
  • operational risks from config, rollout, or migration-related edits
  • clear prioritization of findings by severity and confidence

Quality checks:

  • verify findings are specific, reproducible, and mapped to file/line evidence
  • confirm severity reflects real user/system impact and likelihood
  • check for missing test coverage on failure and edge-case paths
  • ensure low-confidence concerns are marked as hypotheses, not facts
  • call out residual risk explicitly when no blocking issues are found

Return:

  • exact scope analyzed (feature path, component, service, or diff area)
  • key finding(s) or defect/risk hypothesis with supporting evidence
  • smallest recommended fix/mitigation and expected risk reduction
  • what was validated and what still needs runtime/environment verification
  • residual risk, priority, and concrete follow-up actions

Do not dilute findings with style-only commentary unless explicitly requested by the parent agent.

Signals

GitHub stars
26
Forks
2
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
reviewer-jshsakura
Source
github.com/jshsakura/awesome-opencode-skills