Cross-cutting review of recent work — catches gaps between specialists.

MITAuto-check: notesProduct & Project Management

Install Apex Review

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace apex-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/apex-review .claude/skills/apex-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
apex-review
GitHub stars
2.8k
Token cost
~780 tokens
SKILL.md length
320 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Cross-cutting review of recent work — catches gaps between specialists.

  • Works in 5 steps: Review for cross-cutting concerns. For… → Check for consistency — do the pieces… → Present findings prioritized by risk.… → …
  • Asked to review what we built
  • Calls python, git and pip
  • Pre-launch review

What it does

Apex Review is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

It sits in Product & Project Management, covering Feature launches and release readiness. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to review what we built
  • Pre-launch review
  • After completing a significant chunk of work

Example prompts

  • “review what we built”
  • “check the work”
  • “pre-launch review”
  • “/apex-review”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Review for cross-cutting concerns. For each area, ask whether a specialist would flag this
  2. Check for consistency — do the pieces fit together? Look for
  3. Present findings prioritized by risk. For each issue
  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…
  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…

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • Task
    • TodoWrite

    …and 1 more on the same allowed-tools line.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python
    • git
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git and pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Apex Review loads about 780 tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 320 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~780

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 320 words, ~780 tokens.

Download SKILL.mdSave it as .claude/skills/apex-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
apex-review
description
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.
allowed-tools
Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

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:
bash
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.
bash
git log --oneline -30
bash
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.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/apex-review of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit cfae287

Compare with similar skills

Apex Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Apex Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Apex Review this skilljeremylongshore/tons-of-skills-marketplace2.8k—~780Automated safety check: NotesMIT
.NET MAUI Release Readinessdotnet/maui23k—~15kAutomated safety check: PassMIT
QA Releasejitpass/jit161—~1.1kAutomated safety check: PassCustom licence
Release Readiness Hardeningswyxio/skills176—~1.2kAutomated safety check: PassMIT
Data Validation Patternsrevfactory/harness-1001.3k—~1.7kAutomated safety check: PassApache-2.0
Feature Flag Guidemohitagw15856/pm-claude-skills1.4k—~3.9kAutomated safety check: PassMIT

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Questions about Apex Review

What does Apex Review do?

Cross-cutting review of recent work — catches gaps between specialists. Apex Review is an agent skill from jeremylongshore/tons-of-skills-marketplace. Cross-cutting review of recent work — catches gaps between specialists.

When should I use Apex Review?

Apex Review fits situations like: asked to review what we built; pre-launch review; after completing a significant chunk of work.

How do I install Apex Review in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-review -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/apex-review in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/apex-review in your project. Claude Code loads it when a task matches its description.

How do I install Apex Review in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-review -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/apex-review in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/apex-review in your project. Codex loads it when a task matches its description.

Can I use Apex Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/apex-review, .gemini/skills/apex-review, .github/skills/apex-review and .opencode/skills/apex-review in your project.

What does Apex Review need to run?

Going by SKILL.md and its folder, Apex Review needs the command-line tools its instructions call (python, git and pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash, Glob, Grep, WebFetch, WebSearch, Task, TodoWrite, AskUserQuestion.

Does Apex Review access the network?

SKILL.md contains no URLs. Its commands use git and pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Apex Review safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Apex Review use?

Apex Review is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Apex Review use?

About 780 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Apex Review?

Skills that share tags, products or a category with Apex Review: .NET MAUI Release Readiness (dotnet/maui, 23k stars), QA Release (jitpass/jit, 161 stars), Release Readiness Hardening (swyxio/skills, 176 stars) and Data Validation Patterns (revfactory/harness-100, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Apex Review?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.