learn-cli: Skill for Claude Code

.claude/skills/scope/SKILL.md

scope is a skill for Claude Code from agentculture/learn-cli. It costs 190 tokens per session (2,351 once invoked), scanned A, a copy of scope, Apache-2.0.

A discovery workflow for exploring which parts of an existing codebase or project an unclear idea could affect before writing a detailed specification.

In plain words
What is it for?
Use it to identify affected surfaces, define non-goals, record assumptions, and prepare grounded input for the next planning or specification stage.
Why use it?
It replaces guesses about boundaries and unknowns with findings from the repository, documentation, skills, and related projects.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; mentions CLAUDE.md.

This is agentculture/learn-cli's own configuration. It tells Claude Code how to work on learn-cli itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything learn-cli configures →

Reuse

Borrowing it

Nothing to install: this file belongs to agentculture/learn-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/agentculture/learn-cli/main/.claude/skills/scope/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/agentculture/learn-cli

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for scope

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentculture/learn-cli/scope/github.svg)](https://agentmods.dev/skills/agentculture/learn-cli/scope)
Your own site
<a href="https://agentmods.dev/skills/agentculture/learn-cli/scope"><img src="https://agentmods.dev/badge/skills/agentculture/learn-cli/scope/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for scope

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentculture/learn-cli/scope"><img src="https://agentmods.dev/badge/skills/agentculture/learn-cli/scope.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 190 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,351 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00190 $0.02351
Opus 5.5 $0.00076 $0.00940
Sonnet 5.5 $0.00038 $0.00470
Haiku 4.5 $0.00019 $0.00235

Measured 2mo ago against content hash 9cebd907a2a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

scope scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to scope — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/scope/SKILL.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

scope — explore what an idea touches before you frame it

The skill is named scope; it is the opening leg of the devague method — run it before the sibling /think skill frames an idea into a spec. Where /think converges on what to build, /scope grounds where the idea lives: which surfaces it touches, which it must not, and what is genuinely unknown — so the frame starts from explored territory instead of guesses.

This comes from the sharper end-to-end method spec (devague#53): scope grounded up front means convergence measures real coverage instead of vibes. The exploration itself is agent-side work — the devague CLI stays deterministic and never explores anything (#20).

When to use — and when to skip

Use /scope when the idea touches an existing codebase or ecosystem: a feature in a real repo, a process change across skills, anything where boundaries are discoverable rather than invented.

Skip it freely for small ideas. Scope exploration is not a mandatory first stage — the move-driven adaptive arc stays intact, and an idea that fits in one announcement can go straight to /think. (This is a recorded non-goal of the method: no wizard.)

The method

  1. Enumerate candidate surfaces. List what the idea might touch: source packages, CLI verbs, renderers, schemas, tests, docs, skills, CI workflows, sibling repos. git ls-files and the repo's CLAUDE.md are the usual map.
  2. Explore each surface read-only. Read enough of each candidate to decide: touched, not touched, or unknown. Exploration never mutates anything — no edits, no state changes, no CLI moves yet.
  3. Classify every finding. Each explored surface yields one of:
    • in scope — the idea changes it → becomes a requirement or assumption claim in the frame;
    • out of scope — the idea must not change it → becomes a boundary or non_goal claim;
    • genuinely unknown — can't tell without a decision → becomes a park (open vagueness) or a question (pending user decision).
  4. Record findings on the frame, with provenance. Start the frame with devague new "<announcement>" --title "<short>" (this is also /think's first move) — scope entries live on the frame, so it must exist first. Record each explored surface as a first-class finding: `devague scope "<surface>" --finding "<text>" [--seeds <claim-id> ...]` — text that cites the surface explored ("the CLI stays deterministic per issue 20; scope exploration is agent-side" beats "we won't overreach"). Capture the claim it seeded first (capture --kind ...), then pass its id to --seeds — an unknown seed id is refused with a hint. Provenance, not generic disclaimers: a reviewer should be able to trace every boundary claim back to something you read.

Read the full file on GitHub · 168 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 168 lines · 190 tokens per session scan A 9cebd907a2a0

Subscribe to this mod's changes

scope is a skill published in the GitHub repository agentculture/learn-cli (1 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 190 tokens to every session and 2,351 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to scope, differing in 0 lines, and is treated as a copy.

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