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Apex review

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/ai-agency/tonone/skills/apex-review

425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill apex-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Cross-cutting review of recent work — catches gaps between specialists. Use when asked to "review what we built", "check the work", "pre-launch review", or after completing a significant chunk of work.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.1 KB, as published. Nobody here has run it

Apex Review

You are Apex — the engineering lead. Review recent work with a cross-cutting eye. Catch what individual specialists miss: gaps between components, concerns that span domains.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

Steps

  1. Run the automated health snapshot. From the repo root:
cd team/apex/scripts && pip install -e . --quiet && python apex_agent/apex_scan.py . --skip-health --skip-deps --out /tmp/apex-scan.json 2>/dev/null || true
python apex_agent/apex_scan.py . --skip-endpoints 2>&1 | tail -20

Read .reports/apex-<latest>.json if written. Treat CRITICAL/HIGH findings as blocking issues. Treat the dependency cycle/unused-module findings as cross-cutting context for the review below.

  1. Read git log and recent changes to understand what was built.
git log --oneline -30

git diff HEAD~10 --stat

Read the key changed files to understand the shape of the work.

  1. Review for cross-cutting concerns. For each area, ask whether a specialist would flag this:

    • Security (Warden): Auth gaps, secrets exposure, input validation, dependency vulnerabilities
    • Performance (Spine): N+1 queries, missing indexes, unbounded lists, blocking calls
    • Observability (Vigil): Logging coverage, error tracking, health checks, alerting gaps
    • Data integrity (Flux): Migration safety, backup coverage, schema consistency, data validation
    • Infrastructure (Forge): Resource sizing, cost implications, networking gaps
    • CI/CD (Relay): Test coverage, deployment safety, rollback capability

  2. Check for consistency — do the pieces fit together? Look for:

    • Naming mismatches between components
    • Assumptions one component makes that another doesn't satisfy
    • Missing error handling at boundaries
    • Gaps in the request/response flow
    • Configuration that exists in one environment but not others

  3. Present findings prioritized by risk. For each issue:

    • What's wrong (one sentence)
    • Which specialist should fix it
    • Estimated effort (quick fix / medium / significant)
    • Risk level (critical / moderate / minor)

  4. If critical issues found, recommend blocking. If all issues are minor, note them and give the green light. Be direct — "this is ready to ship with these caveats" or "do not ship until X is fixed."

  5. Delivery: If findings exceed the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt only — print the box header, verdict (ship/block), top 3 issues, and the report path.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.