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fable-judge

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>".

79

Quality

100%

Does it follow best practices?

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is lean yet actionable, with a well-sequenced multi-step workflow containing explicit validation checkpoints and clearly signaled external references. It avoids verbosity and concept over-explanation.

DimensionReasoningScore

Conciseness

The body is dense and information-rich without explaining basics Claude already knows; concrete commands like `git diff`/`git status` earn their tokens and the prose assumes competence throughout.

3 / 3

Actionability

Gives concrete executable guidance - `git diff`, `git status`, `/fable-judge suite <target>` - plus a precise ordered procedure and a concrete catalogue of frauds to hunt, fully actionable for an instruction-style skill.

3 / 3

Workflow Clarity

The default mode is a clearly numbered 1-5 sequence with an explicit validation step ("Re-run every claimed verification yourself") and an evidence-first verdict step; suite mode is similarly sequenced.

3 / 3

Progressive Disclosure

Keeps the detailed fraud catalogue and domain adapters external in fable-method's `references/failure-modes.md` and `references/domains/`, with clearly signaled one-level-deep pointers rather than inlining them.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific, complete, and trigger-rich: it names concrete actions, supplies natural user phrases, answers both what and when, and occupies a distinct niche. It uses third person and avoids fluff.

DimensionReasoningScore

Specificity

Lists multiple concrete actions - "re-runs the claimed verifications", "diffs what actually changed", "detects weakened tests and false completion claims", and "delivers an evidence-based verdict" - matching the anchor for multiple specific concrete actions.

3 / 3

Completeness

Clearly states both what it does (adversarial verification of completion claims) and when to use it ("Use after any agent or model claims work is complete") with explicit triggers, satisfying the both-what-and-when anchor.

3 / 3

Trigger Term Quality

Provides natural trigger phrases a user would actually say: "/fable-judge", "judge this work", "verify what it did", "did that actually work?", giving good coverage of natural terms.

3 / 3

Distinctiveness Conflict Risk

A clear niche - adversarial verification of finished work - with distinct triggers unlikely to fire for unrelated skills, matching the clear-niche anchor.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 2 missing

Warning

Total

15

/

16

Passed

Repository
Sahir619/fable-method
Reviewed

Table of Contents

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