ardhaecosystem/fable-method

The Fable Method: a structured problem-solving loop that gives any model Fable 5 grade thinking. Four Hermes Agent skills (think/act/prove/grow) + adversarial eval.

11Stars on the repository
5Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

fable-domain

01

ardhaecosystem/fable-method

Skill Claude CodeCodex

Use when extending the fable-method problem-solving loop into a non-code domain (marketing, research, data analysis, ops). Generates a domain adapter bundle: workflow+flowchart, adapter, trap fixture, smoke eval. Refuses licensed/harm-causing domains, stops when no adapter is needed, and verifies its own output before…

11 1mo ago A 73 tokens original MIT

fable-judge

02

ardhaecosystem/fable-method

Skill Claude CodeCodex

Adversarial verification of finished work. Treats any 'done' claim as a set of claims to verify by re-running everything yourself. Use when someone reports work complete and you must gate it: load this before trusting a completion report. Subcommands: suite runs a trap suite against any skill/model.

11 1mo ago A 69 tokens original MIT

fable-loop

03

ardhaecosystem/fable-method

Skill Claude CodeCodex

The orchestrated version of fable-method: runs the same decide-act-verify-report loop but fans out parallel evidence subagents in planning and adversarial attacker subagents in verification. Four stages - PLAN, EXECUTE, VERIFY, AUDIT/REPORT - with a decision gate after the plan and a hard 3-cycle bound on failed…

11 1mo ago A 108 tokens original MIT

fable-method

04

ardhaecosystem/fable-method

Skill Claude CodeCodex

A 7-step problem-solving discipline loop that gives any model structured thinking: classify the ask, define done, gather evidence, decide, act surgically, verify by observation, report outcome-first. Use when the user says 'fable-method', or proactively when starting any multi-step task that no task-specific skill…

11 1mo ago A 77 tokens original MIT