@alex_prompter: Someone distilled Fable's problem-solving approach into a plugin any model can run. 159 agent runs later, Sonnet + the …

Someone distilled Fable's problem-solving approach into a plugin any model can run. 159 agent runs later, Sonnet + the plugin matched Fable 10/10 on a research task. The plugin has three parts. fable-method gives any model a structured problem-solving loop with hard failure thresholds. fable-loop runs entire tasks with adversarial verification agents checking the work. fable-judge treats every "done, all tests pass" claim as unverified and re-runs everything independently. The results are specific. Haiku went from 0/4 to 4/4 on catching a wrong test before "fixing" correct code. Sonnet + the method matched Fable itself on a five-part research task, scoring 10/10. The judge took Haiku from 3/5 to 5/5 on catching planted frauds in a fake completion report. The part that earned my trust is what it won't do. On ordinary tasks with capable models, it adds nothing. They measured that, documented it, and the README says so. The value concentrates at traps like wrong tests, false completion claims, and weak models running unattended. It supplies discipline, not knowledge. The iteration tells you a lot about the quality. v1 of the method failed its own test at 0/4. v2 failed at 1/4. v3 finally passed at 4/4. The repo includes every failed version with raw judge transcripts. The flowcharts weren't built from Fable describing how it thinks either. They recorded actual tool calls from bare Fable agents and corrected the method wherever Fable's self-description disagreed with its real behavior. Observation beat self-reporting 3 times. If you're running Claude Code with cheaper models or want to harden your agent workflows, this is worth 10 minutes of your time. To install in Claude Code, run /plugin marketplace add Sahir619/fable-method then /plugin install fable@fable-method