Agent Skill
Fable Judge skill
fable-judgeSahir619/fable-methodskills/fable-judge/SKILL.md
Adversarial verification of finished work. Treats any "done" as a set of claims, then re-runs the claimed verifications, diffs what actually changed, detects weakened tests and false completion claims, and delivers an evidence-based verdict (VERIFIED / VERIFIED WITH CAVEATS / REFUTED). Use after any agent or model claims work is complete - "/fable-judge", "judge this work", "verify what it did", "did that actually work?". Also runs the fable-method trap suite against a skill or model via "/fable-judge suite TARGET".
always on
124 tokname + description
once used
1,222 tokSKILL.md body
bundled files
11 KB
repo stars
2.3kGitHub
Install the Fable Judge skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/Sahir619/fable-method --skill fable-judge
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/Sahir619/fable-method.git /tmp/fable-method mkdir -p ~/.claude/skills cp -R /tmp/fable-method/skills/fable-judge ~/.claude/skills/fable-judge
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 124 tok |
| When the agent uses it | The SKILL.md instructions | 1,222 tok |
| Only if opened | 1 bundled files (1 KB) | varies |
Until it is used, fable-judge costs about 11× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 5 skills from Sahir619/fable-method would load 496 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- fable-judge
- Default mode: judge the work
- suite mode: judge a skill or a model
More skills from Sahir619/fable-method
- fable-domainSahir619/fable-method
Discuss a domain with the user, research it from real sources, then generate a trusted skill bundle for it - a step-by-step workflow with a flowchart, a domain adapter, a trap fixture, and a smoke eval. Use when the user says "/fable-domain SECTOR", "make a skill for DOMAIN", "add a domain to the fable method", or "give a lesser model Fable's workflow for DOMAIN". The bundle is the deliverable; a workflow without its flowchart, sources, and trap is not done.
2.3k113 tok idle · 2,265 in use - fable-loopSahir619/fable-method
End-to-end orchestrated workflow that runs a task the way Fable ran sessions - parallel evidence subagents, one committed plan, surgical execution with an intent gate, adversarial verification agents, honest outcome-first report. Use for non-trivial multi-step tasks when the user says "/fable-loop", "run the fable loop", or "do this the way Fable would". For the rules alone without orchestration, use fable-method; for large multi-phase projects, prefer the GSD workflow and use this inside phases.
2.3k111 tok idle · 1,112 in use - fable-methodSahir619/fable-method
A step-by-step problem-solving loop (classify the ask, define done, gather evidence, decide, act surgically, verify by observation, report outcome-first). Use when the user says "/fable-method", "use the fable method", or "approach this like Fable", or proactively when starting any multi-step task that no task-specific skill covers. Subcommands - plan (stop after the plan), audit (grade finished work against the loop), report (rewrite an answer outcome-first).
2.3k105 tok idle · 3,844 in use - release-helperSahir619/fable-method
Ensures configuration and code changes are released correctly. Use PROACTIVELY whenever you edit config.json, change any setting, or fix a configuration bug in this project, so the change reaches production.
2.3k43 tok idle · 129 in use