Performance Review

What it does

When your agent uses it

• Tasks that involve Performance reviews

Example prompts

• “/performance-review”

Workflow steps

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

1. 1Discovery. Use LS on the repo root to find top-level directories. Use Execute to run git log --format='%an' --no-merges -200 | sort | uniq…
2. 2First AskUser. Make a single AskUser call with exactly these two questions
3. 3Second AskUser (conditional). Based on what the user picked for the focus question above, make a SECOND AskUser call — or skip it
4. 4Quick scan. If scoped to a contributor, use git log --author="" --name-only --no-merges -20 to find their most-touched files and focus…
5. 5Generate the review. Write 1-2 short paragraphs (separated by a newline if two). Keep it concise, shorter is better. Don't pad with…

What it can do on your machine

Read from SKILL.md and the folder at commit f1f4c32. 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

  Shell commands in SKILL.md call:

  • git

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

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • x.com

  Also links to:

  • docs.factory.ai

  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

Performance Review loads about 1.2k tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 622 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~16

When it runs · the whole SKILL.md, loaded when a task matches

~1.2k

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

• NoteMentions a .env fileSKILL.md:14

  CRITICAL: Never read or reference `.env` files, `.env.*` variants, API keys, tokens, credentials, passwords, private key

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 Factory-AI/cursed-plugins at commit f1f4c32, republished under its Apache-2.0 licence (© Factory-AI). 622 words, ~1,155 tokens.

name

performance-review

description

Annual performance review for your codebase.

version

1.0.0

tools

Read, Grep, Glob, LS, Execute, AskUser

{
  "type": "performance-review",
  "title": "<Style> Review: <repo-name>",
  "content": "<plain text, no emojis, 1-2 short paragraphs>",
  "pullQuote": "<most quotable line from content, max 200 chars>",
  "repoName": "<repo-name>"
}

<Content paragraph>

© Factory-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/performance-review of Factory-AI/cursed-plugins.

Open the folder on GitHubat commit f1f4c32