agentleFS
momentmakermomentmaker/kaijutsu/skills/core/scope-check/SKILL.md

scope-check

Skill3 starsChanged 6 months agoMITView on GitHub

Mid-task scope mirror. Use when the user says "scope check", "am I scope creeping", "how big has this gotten", "check the scope", or asks about the size of current work. Also use proactively when you notice the work has grown significantly beyond the original ask.

26 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use team-polish, team-audio and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • CoralGameSkill

    team-polish

    Orchestrate the polish team: coordinates performance-analyst, technical-artist, sound-designer, and qa-tester to optimize, polish, and harden a feature or area for release quality.

    Also in 13 projects that use this

  • CoralGameSkill

    team-audio

    Orchestrate audio team: audio-director + sound-designer + technical-artist + gameplay-programmer for full audio pipeline from direction to implementation.

    Also in 11 projects that use this

  • lilangMaxSkill

    asset-spec

    Generate per-asset visual specifications and AI generation prompts from GDDs, level docs, or character profiles. Produces structured spec files and updates the master asset manifest. Run after art bible and GDD/level design are approved, before production begins.

    Also in 8 projects that use this

  • lilangMaxSkill

    create-control-manifest

    After architecture is complete, produces a flat actionable rules sheet for programmers — what you must do, what you must never do, per system and per layer. Extracted from all Accepted ADRs, technical preferences, and engine reference docs. More immediately actionable than ADRs (which explain why).

    Also in 8 projects that use this

  • +6 more from CoralGame
  • +2 more from lilangMax

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 21 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Check these sources in order.

    line 12
  2. Distinctive:

    Read the list of changed files

    line 34
  3. Distinctive:

    If your agent keeps a session log, count sessions and estimate total time spent on this project today and yesterday.

    line 40
  4. Distinctive:

    Do NOT tell the user to stop or reduce scope.

    line 104

“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “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

Scope Check

Hold up a mirror — compare the original task intent to the actual work done. Present data, not judgment.

Step 1: Find the Original Intent

Check these sources in order. Use the first one found:

  1. Active plan file — search your agent's plan/scratch directory for a plan referencing this project. Read the Goal and Context sections.
  2. Task list — if your agent has a tracked task list, the earliest task often captures the original intent.
  3. Ask the user — if neither exists, ask: "What was the original task or goal? I want to compare it to what's actually happened."

Step 2: Measure the Actual Work

Detect default branch first: git symbolic-ref refs/remotes/origin/HEAD 2>/dev/null | sed 's|refs/remotes/origin/||' — fall back to main if unset.

Run in parallel:

  • git diff --stat — unstaged changes
  • git diff --cached --stat — staged changes
  • git diff {default-branch}...HEAD --stat — all changes on this branch vs default (skip if current branch IS the default branch)
  • git ls-files --others --exclude-standard | wc -l — new untracked files
  • Count new vs modified files
  • Sum lines added/removed

Step 3: Categorize by Concern

Group changed files by their top-level directory or domain:

  • Read the list of changed files
  • Group by the first 2 path segments (e.g., Models/Proximity/, Scenes/ActiveWalk/, src/handlers/)
  • Count files and lines per group

Step 4: Check Time Spent

If your agent keeps a session log, count sessions and estimate total time spent on this project today and yesterday.

Step 4.5: Cost-tier classification

For each changed file, classify by reasoning space per the Agentic Coding Flywheel cost model:

TierWhat it touchesRework cost
plan-spacedesign docs, plans, architecture markdown, ADRs, READMEs1×
bead-spacetask lists, scope-of-work specs, project tracking, IMPLEMENTATION_PLAN.md, .beads/*5×
code-spaceactual implementation files, tests, configs25×

Note: bead-space is specific to Jeffrey Emanuel's bead-based workflow. Most repos won't have a .beads/ directory or formalized bead files — in that case, treat task-tracking markdown (like IMPLEMENTATION_PLAN.md, TODO.md) as bead-space and otherwise default to plan-vs-code.

Tally by tier. If 80%+ of the change is code-space and the original intent was a small fix, that's a signal: the work drifted into expensive territory. The mirror should surface:

"Currently 12 of 15 changed files are in code-space (25× rework cost). If a piece of the original plan is still being debated, consider returning to plan-space briefly before committing more to code."

Step 4.75: Identify split-points

Scan the file groups from Step 3. Look for natural seams:

  • Two domains that don't share imports or types → could be two PRs
  • One domain has tests + implementation; the other has only implementation → split: ship the tested one first
  • Refactor changes mixed with feature changes → split: refactor PR, then feature PR
  • Independent bug fixes bundled with the main feature → split: ship the bug fixes immediately

For each candidate split-point, propose:

"Possible split: extract <domain> (N files, ~M LOC) as a separate PR. It has no test or runtime dependency on the rest."

Step 5: Present the Mirror

## Scope Check

**Original task:** "{intent from Step 1}"

### What's been touched
| Domain | New | Modified | Lines |
|--------|-----|----------|-------|
| {domain} | {n} | {n} | {n} |
| **Total** | **{n}** | **{n}** | **{n}** |

**Sessions:** {count} | **Estimated time:** {hours}

### Cost tier breakdown
| Tier | Files | Lines | Rework cost |
|---|---|---|---|
| plan-space | {n} | {n} | 1× |
| bead-space | {n} | {n} | 5× |
| code-space | {n} | {n} | 25× |

### Possible split-points
- {domain} ({n} files, ~{m} LOC) — no shared deps with the rest

**Observation:** {factual description of how the scope grew — what domains were added beyond the original intent, plus the tier breakdown's implications}

**Questions to consider:**
- Could any of these domains be a separate PR?
- Is every new subsystem necessary for v1, or could it be simpler?
- What's the smallest shippable slice of this work?

Do NOT tell the user to stop or reduce scope. Present the facts and let them decide. The value is in making the invisible visible.

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.