skills/review/SKILL.md
Use when you need code review, verification, or quality checks on your work.
npx skillsauth add seokan-jeong/team-shinchan team-shinchan:reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
If args is empty or only whitespace:
Ask user: "What would you like me to review? (code changes, file paths, or describe what to check)"
STOP and wait for user response
If args length > 2000 characters:
Truncate to 2000 characters
Warn user: "Request was truncated to 2000 characters"
This skill (Action Kamen via Task — thorough, cheap, auto-triggerable, delegatable) is Tier 1 and the default. For high-stakes scope, escalate to Tier 2 — team-shinchan:fierce-review (a deterministic main-loop Workflow with independent per-dimension agents, a non-skippable per-finding refutation, a completeness critic, and a schema-validated rubric judge that reuses eval-rubrics.json).
| Stay on Tier 1 (this skill) | Escalate to fierce-review | |---|---| | Routine change, single file, quick check | Pre-release diff, security / payment / auth boundary, data-loss path | | One thorough pass is acceptable | You want guaranteed per-dimension coverage + adversarial per-finding verification | | Auto-triggered or delegated, cheap | Explicit user opt-in only (Workflow can't fire silently or from a subagent) |
Never silently jump to Tier 2 — on a high-stakes scope, finish this review, then offer the opt-in; the user launches /team-shinchan:fierce-review.
Do not read further. Execute this Task NOW:
Task(
subagent_type="team-shinchan:actionkamen",
model="opus",
prompt=`/team-shinchan:review has been invoked.
## Code Review Request
Perform thorough review covering:
| Category | Check Items |
|----------|-------------|
| Correctness | Logic errors, edge cases, expected behavior |
| Security | Vulnerabilities, input validation, auth issues |
| Performance | N+1 queries, memory leaks, bottlenecks |
| Code Quality | Readability, maintainability, conventions |
| Tests | Coverage, test quality, missing tests |
## Review Output Requirements
- Show review process in real-time
- List all issues found with severity (CRITICAL/HIGH -> MUST fix; MEDIUM -> SHOULD fix; LOW -> COULD fix)
- Provide specific file:line references
- Give actionable fix recommendations
- Final verdict: APPROVED ✅ or REJECTED ❌
- If REJECTED: list specific issues that must be fixed, ordered by severity
User request: ${args || '(Please describe what to review)'}
`
)
STOP HERE. The above Task handles everything.
development
Deterministic adversarial code review for high-stakes scope — independent per-dimension review, a non-skippable per-finding refutation, a completeness critic, and a schema-validated rubric judge. Opt-in main-loop Workflow tier.
data-ai
Deterministic loop-until-done for high-stakes long-running tasks — a worker/verifier loop the script bounds by iteration cap, token budget, and stagnation, closed by an Action-Kamen gate. Opt-in main-loop Workflow tier.
testing
Deterministic adversarial debate for high-stakes or irreversible decisions — mandatory refutation plus a scored judge panel. Opt-in main-loop Workflow tier.
development
Deterministic competitive code tournament — N builders independently solve one task and return patches, an Action-Kamen judge scores them head-to-head, the winner is picked by score and applied. Opt-in main-loop Workflow tier.