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/ardhaecosystem/fable-method/fable-domainnpx skills add ardhaecosystem/fable-method --skill fable-domaingit clone --depth 1 https://github.com/ardhaecosystem/fable-methodWhat 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 | $0.00073 | $0.02417 |
| Opus 5 | $0.00036 | $0.01208 |
| Sonnet 5 | $0.00015 | $0.00483 |
| Haiku 4.5 | $0.00007 | $0.00242 |
Grade A, and why
fable-domain 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fable-domain
This skill extends the fable-method problem-solving loop to non-code sectors by producing a domain adapter bundle. A bundle is four deliverables that together let fable-loop/fable-judge run against a new domain with its own nouns, authorities, and evidence rules - instead of falling back to coding defaults.
Use when a user asks to "create a domain adapter for X", "extend fable to marketing/research/ops", or "build a trap fixture for sector Y".
What a bundle is
A bundle is all four of these, or it is not done:
- Domain workflow - ordered steps a practitioner follows in the sector, with a mermaid flowchart.
- Adapter - a file conforming to the adapter template (applies-when, minimum evidence set, evidence sources, authority order, verification by observation, fraud table, done-by-example, sources with fetched links).
- Trap fixture - an
eval/scenarios/<scenario>/directory withGROUND-TRUTH.mddefining the task, the trap, scoring caps, and ideal behavior. - Smoke eval - 1-2 control-vs-adapter runs judged by diff + execution, labeled
smoke-grade: pass|fail|partial.
No bundle = no claim. Partial output (only adapter, only workflow) is rejected at Stage 4.
Process
flowchart TD
A[Stage 1: Discuss] -->|red-line hit| R[Refuse + stop]
A -->|scope stop: nouns == coding default| S[No adapter needed]
A -->|approved scope| B[Stage 2: Research]
B -->|no web access| STOP1[No trustworthy bundle, stop]
B -->|evidence gathered| C[Stage 3: Generate]
C -->|duplicate adapter exists| DUP[Merge or abort]
C -->|4 deliverables written| D[Stage 4: Verify]
D -->|smoke + judge pass| DONE[Bundle complete]
D -->|smoke fail| FIX[Patch + re-verify]
FIX --> C
R -.-> END[End]
S -.-> END
STOP1 -.-> END
DUP -.-> END
DONE --> END[Report outcome-first]
Stage 1 - Discuss
Ask the user, in plain questions, before generating anything:
- Use case: what task in this domain should the loop solve? One concrete example.
- What good looks like: what does a correct answer look like? What does a wrong answer look like?
- Trusted authorities: which orgs, standards, regulators, or practitioners does the user defer to?
- Must-nevers: what outputs are unacceptable, illegal, or harmful?
- Desired outputs: artifact shape - report, plan, checklist, data file, copy draft.
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.
- 2d ago First seen · 193 lines · 73 tokens per session scan A acc7a8ee3b21
fable-domain is a skill published in the GitHub repository ardhaecosystem/fable-method (11 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 2,417 once invoked, about $0.0004 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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