Agent skill

Review

by suboss87 in suboss87/FDEOps

Review a proposed customer code change against its intended outcome and operational risks.

MITAuto-check passedDevelopment

Install Review

skills CLI
$ npx skills add suboss87/FDEOps --skill review -a claude-code

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

GitHub CLI
$ gh skill install suboss87/FDEOps 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/suboss87/FDEOps.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/review .claude/skills/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
review
GitHub stars
956
Token cost
~339 tokens
SKILL.md length
142 words
Files
12 (incl. references)
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Review a proposed customer code change against its intended outcome and operational risks.

  • Works in 2 steps: Read the task context contract. → Read the method.
  • Report evidence and actionable findings
  • SKILL.md covers Purpose and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review is an agent skill from suboss87/FDEOps. Review a proposed customer code change against its intended outcome and operational risks. Use for a diff or PR review; report evidence and actionable findings.

Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files (for example `.fde-generated.json`, `agents/openai.yaml` and `references/build.md`).

It sits in Development, covering Pull requests. The repository describes itself as: Forward deployed engineering skills for AI coding agents. The licence is MIT.

When your agent uses it

  • Report evidence and actionable findings
  • Tasks that involve Pull requests

Example prompts

  • “/review”

Workflow steps

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

  1. Read the task context contract.
  2. Read the method.

What it can do on your machine

Read from SKILL.md and the folder at commit 64d1d8a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Review loads about 339 tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 142 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~339
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

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 passed

The automated check found no risky patterns in SKILL.md.

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 suboss87/FDEOps at commit 64d1d8a, republished under its MIT licence (© suboss87). 142 words, ~339 tokens.

Download SKILL.mdSave it as .claude/skills/review/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
review
description
Review a proposed customer code change against its intended outcome and operational risks. Use for a diff or PR review; report evidence and actionable findings.

review

<!-- Generated by bin/generate-skills.js; edit the canonical references and catalog. -->

Purpose

Actionable findings tied to the intended outcome.

Before investigating or acting:

  1. Read the task context contract.
  2. Read the method.

Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.

Principles

  • Work directly from the supplied permitted context. Standalone work does not require an engagement folder or initialization. Record filenames in the method are optional persistence destinations when no engagement is bound.
  • If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
  • The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
  • Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.

© suboss87, 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 11 other files (references) in skills/review of suboss87/FDEOps.

  • SKILL.md
  • .fde-generated.json
  • agents/openai.yaml
  • references/build.md
  • references/debug.md
  • references/eval-pack.md
  • references/integrate.md
  • references/qa.md
  • references/review.md
  • references/ship.md
  • references/task-context.md
  • references/verification.md

Open the folder on GitHubat commit 64d1d8a

Compare with similar skills

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.

Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review this skillsuboss87/FDEOps956—~339Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Check PRonyx-dot-app/onyx32k2 repos~2.3kAutomated safety check: PassMIT
PR Design DocOpenHands/OpenHands90k—~2.4kAutomated safety check: PassMIT
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence

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More from suboss87/FDEOps

All 34 skills in this repo
  • Fde

    suboss87/FDEOps

    Keeps the engagement record for client work. An agent skill from suboss87/FDEOps.

    956 GitHub stars~2.9k tokensUpdated yesterday
    Auto-check passed
  • Audit

    suboss87/FDEOps

    Audit an inherited engagement or implementation against its evidence.

    956 GitHub stars~341 tokensUpdated yesterday
    Auto-check passed
  • Board Memo

    suboss87/FDEOps

    Draft a board or executive summary of an engagement using outcomes, risks and investment decisions.

    956 GitHub stars~343 tokensUpdated yesterday
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  • Brief

    suboss87/FDEOps

    Clarify a new customer brief, desired outcome, constraints and evidence gaps.

    956 GitHub stars~339 tokensUpdated yesterday
    Auto-check passed
  • Business Case

    suboss87/FDEOps

    Develop a business case for an initiative using costs, benefits, risks and evidence.

    956 GitHub stars~343 tokensUpdated yesterday
    Auto-check passed
  • Connect

    suboss87/FDEOps

    Configure or diagnose access to a requested source using available host tools.

    956 GitHub stars~354 tokensUpdated yesterday
    Auto-check passed

Categories

Questions about Review

What does Review do?

Review a proposed customer code change against its intended outcome and operational risks. Review is an agent skill from suboss87/FDEOps. Review a proposed customer code change against its intended outcome and operational risks.

When should I use Review?

Review fits situations like: report evidence and actionable findings; tasks that involve Pull requests.

How do I install Review in Claude Code?

Run `npx skills add suboss87/FDEOps --skill review -a claude-code`. Or copy the skill folder (skills/review in suboss87/FDEOps) into .claude/skills/review in your project. Claude Code loads it when a task matches its description.

How do I install Review in Codex?

Run `npx skills add suboss87/FDEOps --skill review -a codex`. Or copy the skill folder (skills/review in suboss87/FDEOps) into .agents/skills/review in your project. Codex loads it when a task matches its description.

Can I use 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 suboss87/FDEOps --skill 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/review, .gemini/skills/review, .github/skills/review and .opencode/skills/review in your project.

What does Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Review is instructions for the agent only.

Does Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Review use?

Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Review use?

About 339 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.

What are the alternatives to Review?

Skills that share tags, products or a category with Review: Finishing a Development Branch (obra/superpowers, 297k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars) and PR Design Doc (OpenHands/OpenHands, 90k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review?

suboss87 (a GitHub user) maintains it in suboss87/FDEOps, which has 956 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 8, 2026.

Source: suboss87/FDEOps on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.