agentleFS
dannys-code-cornerdannys-code-corner/incan/.agents/skills/review-scope/SKILL.md

review-scope

Skill73 starsChanged 6 days agoApache-2.0View on GitHub

Review a change against issue, RFC, branch, and user-request scope. Use when a broad review needs a dedicated scope/completeness pass or when the user asks whether the implementation actually matches the intended surface.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 3 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Write a slice report at:

    line 28
  2. Very specific:

    Do not write to the canonical .agents/state/review-report.md.

    line 32
  3. Distinctive:

    Do not suppress a finding just because it may be non-blocking for the immediate fix loop.

    line 48
  4. Distinctive:

    If there are no findings, say so explicitly.

    line 77

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Review Scope — Incan Compiler

Purpose

/review-scope is a cross-file report-only reviewer for intended scope and delivered behavior.

Own:

  • missing in-scope work
  • out-of-scope additions
  • issue/RFC/branch intent satisfaction
  • docs/examples/scaffolds promising behavior the code does not deliver

Do not own:

  • local prose quality unless it creates scope drift
  • detailed architecture placement
  • test style details
  • final branch-clean judgment

Output artifact

Write a slice report at:

  • .agents/state/review-report.scope.md

Do not write to the canonical .agents/state/review-report.md.

Workflow

  1. Derive intended scope from:
    • current user request
    • issue/branch metadata
    • governing RFC/design docs
    • user-facing docs/examples on the branch
  2. Review the whole presented worktree as a single review surface, not only the orchestrator's guess at the "main task files".
  3. Flag:
    • missing promised behavior
    • scope creep
    • examples/docs/scaffolds that imply unsupported flows
    • adjacent branch churn or future-work noise when it materially affects reviewability or branch quality
  4. Attach findings to concrete files when possible, even if the reasoning was cross-file.
  5. Do not suppress a finding just because it may be non-blocking for the immediate fix loop. Relevance is decided later.

Slice report shape

# Review Slice Report

- role: scope
- worker: <agent-id or stable label>
- status: in_progress | clean | blocked

## Scope
- issue / RFC:
- reviewed surfaces:
  - ...

## Findings
- [ ] blocker | behavior | docs-generated fiction | workspaces/docs-site/docs/language/reference/project_lifecycle.md:181
  Says plain `incan build` remains a valid direct command, but the CLI still requires `<FILE>` outside `--lib`.

## Reviewed Clean Surfaces
- <optional, only for risky or disputed clean calls>

## Notes
- <optional broader scope observation>

Use `Notes` for context, but keep actual concerns in `## Findings` rather than hiding them in prose.

If there are no findings, say so explicitly.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.