Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/agentculture/learn-cli/scopenpx skills add agentculture/learn-cli --skill scopegit clone --depth 1 https://github.com/agentculture/learn-cliWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00190 | $0.02351 |
| Opus 5 | $0.00095 | $0.01175 |
| Sonnet 5 | $0.00038 | $0.00470 |
| Haiku 4.5 | $0.00019 | $0.00235 |
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 yesterday.
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.
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.
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
- Enumerate candidate surfaces. List what the idea might touch: source
packages, CLI verbs, renderers, schemas, tests, docs, skills, CI workflows,
sibling repos.
git ls-filesand the repo'sCLAUDE.mdare the usual map. - 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.
- Classify every finding. Each explored surface yields one of:
- in scope — the idea changes it → becomes a
requirementorassumptionclaim in the frame; - out of scope — the idea must not change it → becomes a
boundaryornon_goalclaim; - genuinely unknown — can't tell without a decision → becomes a
park(open vagueness) or aquestion(pending user decision).
- in scope — the idea changes it → becomes a
- 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.
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.
- yesterday First seen · 168 lines · 190 tokens per session scan A 9cebd907a2a0
scope is a skill published in the GitHub repository agentculture/learn-cli (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 190 tokens to every session and 2,351 once invoked, about $0.0010 per session on Opus 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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