Agent skill

Preflight Feature Review

by compartmentdev in compartmentdev/compartment

Review a proposed Compartment change before implementation with three parallel read-only subagents covering the simplest complete solution, correct module placement, and reuse of established…

Apache-2.0Auto-check passedAgent Workflows

Install Preflight Feature Review

skills CLI
$ npx skills add compartmentdev/compartment --skill preflight-feature-review -a claude-code

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

GitHub CLI
$ gh skill install compartmentdev/compartment preflight-feature-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/compartmentdev/compartment.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/preflight-feature-review .claude/skills/preflight-feature-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
preflight-feature-review
GitHub stars
205
Token cost
~364 tokens
SKILL.md length
164 words
Files
2
Skills in repo
12
Repo updated
First seen
Licence
Apache-2.0

At a glance

Review a proposed Compartment change before implementation with three parallel read-only subagents covering the simplest complete solution, correct module placement, and reuse of established…

  • Works in 3 steps: Simplest implementation: inspect the… → Placement: inspect AGENTS.md, the… → Reuse: inspect existing helpers and…
  • Tasks that involve Subagents
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Preflight Feature Review is an agent skill from compartmentdev/compartment. Review a proposed Compartment change before implementation with three parallel read-only subagents covering the simplest complete solution, correct module placement, and reuse of established libraries.

Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Agent Workflows, covering Subagents. The repository describes itself as: Compartment is a self-hosted deployment system for small software on infrastructure your team controls. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/preflight-feature-review”

Workflow steps

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

  1. Simplest implementation: inspect the relevant code and propose the smallest implementation that fully meets the current requirements. Call…
  2. Placement: inspect AGENTS.md, the relevant layer docs, and nearby modules. Identify the owning package or module, exact placement, and…
  3. Reuse: inspect existing helpers and dependencies, then decide whether established code or a well-known library should replace custom…

What it can do on your machine

Read from SKILL.md and the folder at commit 15373e7. 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

Preflight Feature Review loads about 364 tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 164 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~364

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 compartmentdev/compartment at commit 15373e7, republished under its Apache-2.0 licence (© compartmentdev). 164 words, ~364 tokens.

Download SKILL.mdSave it as .claude/skills/preflight-feature-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
preflight-feature-review
description
Review a proposed Compartment change before implementation with three parallel read-only subagents covering the simplest complete solution, correct module placement, and reuse of established libraries.

Preflight Feature Review

Launch exactly three parallel Luna Max subagents. Give each the current request and known scope. Use only these cheap agents; they must inspect only: no edits, installs, builds, lint, typecheck, tests, or further delegation.

  1. Simplest implementation: inspect the relevant code and propose the smallest implementation that fully meets the current requirements. Call out anything the simple approach would miss.
  2. Placement: inspect AGENTS.md, the relevant layer docs, and nearby modules. Identify the owning package or module, exact placement, and boundaries that must remain intact.
  3. Reuse: inspect existing helpers and dependencies, then decide whether established code or a well-known library should replace custom implementation. Verify any new library from primary sources; recommend it without installing it. Say when custom code is simpler.

Wait for all three, resolve contradictions, and return only:

  • Simplest: recommended implementation and why it is complete
  • Placement: owner, files, and boundary guidance
  • Reuse: existing helper, dependency, verified library, or custom code
  • Blockers: only genuine blockers, otherwise none

© compartmentdev, 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

SKILL.md and 1 other file in .codex/skills/preflight-feature-review of compartmentdev/compartment.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 15373e7

Compare with similar skills

Preflight Feature 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.

Preflight Feature Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Preflight Feature Review this skillcompartmentdev/compartment205—~364Automated safety check: PassApache-2.0
Akb Ingestdnotitia/akb162—~2kAutomated safety check: PassCustom licence
Poolopensage-agent/opensage-adk127—~462Automated safety check: PassApache-2.0
Lmstudio Subagentssundial-org/awesome-openclaw-skills663—~1.2kAutomated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone

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Questions about Preflight Feature Review

What does Preflight Feature Review do?

Review a proposed Compartment change before implementation with three parallel read-only subagents covering the simplest complete solution, correct module placement, and reuse of established…. Preflight Feature Review is an agent skill from compartmentdev/compartment. Review a proposed Compartment change before implementation with three parallel read-only subagents covering the simplest complete solution, correct module placement, and reuse of established libraries.

When should I use Preflight Feature Review?

Preflight Feature Review fits situations like: tasks that involve Subagents.

How do I install Preflight Feature Review in Claude Code?

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

How do I install Preflight Feature Review in Codex?

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

Can I use Preflight Feature 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 compartmentdev/compartment --skill preflight-feature-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/preflight-feature-review, .gemini/skills/preflight-feature-review, .github/skills/preflight-feature-review and .opencode/skills/preflight-feature-review in your project.

What does Preflight Feature Review need to run?

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

Does Preflight Feature 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 Preflight Feature 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 Preflight Feature Review use?

Preflight Feature Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Preflight Feature Review use?

About 364 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 Preflight Feature Review?

Skills that share tags, products or a category with Preflight Feature Review: Akb Ingest (dnotitia/akb, 162 stars), Pool (opensage-agent/opensage-adk, 127 stars), Lmstudio Subagents (sundial-org/awesome-openclaw-skills, 663 stars) and Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Preflight Feature Review?

compartmentdev (a GitHub organization) maintains it in compartmentdev/compartment, which has 205 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on August 20, 2026.

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