fable-scope

A task-scoping skill for deciding what success should mean before coding begins. It defines an external check for correctness and separates known facts from assumptions.

In plain words
What is it for?
Use it at the start of substantial or unclear tasks to read the project's Fable guidance, define a verification check, and identify important assumptions.
Why use it?
It helps prevent coding against a vague goal or an unstated definition of “done.” It can also expose missing project context and acceptance checks before changes are made.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/debabsah/fable-method/fable-scope
Any agent
npx skills add debabsah/fable-method --skill fable-scope
Clone the repo
git clone --depth 1 https://github.com/debabsah/fable-method

Made for: Claude Code, Codex.

Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 846 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00051 $0.00846
Opus 5 $0.00026 $0.00423
Sonnet 5 $0.00010 $0.00169
Haiku 4.5 $0.00005 $0.00085

Measured yesterday against content hash 58c0a13726a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fable-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.

skills/fable-scope/SKILL.md · 26 lines

What it actually says

fable-scope

Bound the task before building. Produce a short scope block and stop for the human only if a fork genuinely changes what you'd build.

T1 fast path: reversible and local → write the one-line check (step 1) and go. The full block below is for T2+ or fuzzy scope.

First, read .fable/project.md if it exists — it holds this project's acceptance oracle, conventions, and known gotchas; scope on top of it (don't re-derive what's there, and don't re-step on a logged landmine). If it's missing, offer to create it (see the method skill's overlay protocol). Then:

  1. Define done as a named external CHECK. In one sentence: what artifact exists at the end, and what will "correct" be compared against? Prefer a concrete oracle (a known-good output, a reference system, a test, a count). If no oracle can exist, name the weakest acceptable substitute (a specific human's sign-off) — and say so. If you can't write the check, you don't understand the task yet. In an unfamiliar or long-untouched codebase, run that check before changing anything — you can't attribute a failure to your change if you never saw pre-change green.
  2. Split known from assumed. Two short columns: Known (evidence) vs Assumed (inference). Anything in the second column that would change the solution if wrong is a candidate unknown.
  3. Name the 1–3 load-bearing unknowns — the facts that, if wrong, change the whole shape — and the cheapest probe to retire each. Gate on them: don't build past an unretired load-bearing unknown.
  4. Fence it. A short explicit "out of scope (recorded so nobody wonders)" list.
  5. Right-size. Note which decisions are cheap to reverse (defer them) vs the one or two that are expensive/unpatchable (spend the thinking there). Assign the task its risk tier (T1 reversible-local / T2 hard-to-reverse / T3 outward-production — the method skill's table); the tier fixes the minimum gate before any "done" claim.
  6. Ask only outcome-changing questions. If a fork changes what you'd build, ask one question, with a recommendation and the rejected cost. Otherwise pick the sensible default, state it in one line, and proceed. Ask to change outcomes, not to feel safe.

If the work will outlive this session, or is T3: open .fable/tasks/<slug>.md — first line <!-- task: <slug> — next: <action> -->, then the scope block, an Anchors line (the oracle, the fence, human rulings — re-stated at every re-decide; moving one is an escalation to the human, not a re-plan), a decision log (chose X over Y because Z; revisit if W), and deferral buckets. Keep the pointer's next: current as you work (the SessionStart hook surfaces it every session); append a decision record at every re-decide moment. fable-ship retires the file. (Single-session work at any tier needs only the scope block — the file exists for what must survive a session boundary or a T3 audit.)

Plan to the shape (method skill → The plan shape): the next 1–2 steps concrete with their checkpoints; everything past the next verification point stays a coarse bucket. A step without a check attached is a hope, not a step.

Output the scope block, then continue. Re-open it if a later result invalidates an assumption.

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. yesterday First seen · 26 lines · 51 tokens per session scan A 58c0a13726a0

Subscribe to this mod's changes

fable-scope is a skill published in the GitHub repository debabsah/fable-method (1 stars, last pushed 1mo ago), licensed MIT. It adds 51 tokens to every session and 846 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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