Agent skill

Review Plan

by shader-slang in shader-slang/slangpy

Review a plan using sub agents and provide feedback on how to improve it.

Custom licenceAuto-check passedAgent Workflows

Install Review Plan

skills CLI
$ npx skills add shader-slang/slangpy --skill review-plan -a claude-code

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

GitHub CLI
$ gh skill install shader-slang/slangpy review-plan --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/shader-slang/slangpy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/review-plan .claude/skills/review-plan && 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-plan
GitHub stars
154
Token cost
~367 tokens
SKILL.md length
187 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
Custom licence

At a glance

Review a plan using sub agents and provide feedback on how to improve it.

  • Tasks that involve Subagents
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Review Plan is an agent skill from shader-slang/slangpy. Review a plan using sub agents and provide feedback on how to improve it.

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents. The repository describes itself as: Making it easier to work with slang in python.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/review-plan”

What it can do on your machine

Read from SKILL.md and the folder at commit ce68ef8. 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 Plan loads about 367 tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 187 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~367

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 187 words (~367 tokens).

“Use this skill to review an implementation plan, ExecPlan, design note, or proposed task breakdown before coding. Prefer this for plans that touch multiple SlangPy layers, GPU behavior, the functional API, build configuration, or user-visible public APIs.”

— opening of SKILL.md by shader-slang, Custom licence
name
review-plan

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/review-plan of shader-slang/slangpy.

Open the folder on GitHubat commit ce68ef8

Compare with similar skills

Review Plan 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 Plan compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Plan this skillshader-slang/slangpy154—~367Automated safety check: PassCustom licence
Claude Code Agent Developmentanthropics/claude-plugins-official38k7 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone
Reflect on Session Learningscursor/plugins11k5 repos~1.2kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence

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Categories

Questions about Review Plan

What does Review Plan do?

Review a plan using sub agents and provide feedback on how to improve it. Review Plan is an agent skill from shader-slang/slangpy. Review a plan using sub agents and provide feedback on how to improve it.

When should I use Review Plan?

Review Plan fits situations like: tasks that involve Subagents.

How do I install Review Plan in Claude Code?

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

How do I install Review Plan in Codex?

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

Can I use Review Plan 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 shader-slang/slangpy --skill review-plan -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-plan, .gemini/skills/review-plan, .github/skills/review-plan and .opencode/skills/review-plan in your project.

What does Review Plan need to run?

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

Does Review Plan 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 Plan 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 Plan use?

Review Plan has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Review Plan use?

About 367 tokens (SKILL.md is roughly 1.5k 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 Review Plan?

Skills that share tags, products or a category with Review Plan: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Reflect on Session Learnings (cursor/plugins, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Plan?

shader-slang (a GitHub organization) maintains it in shader-slang/slangpy, which has 154 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 9, 2026.

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