fable-method
Skill3 starsChanged 11 days agoMITView on GitHub
Use only for an explicit /fable-method request, or for non-code judgment work it covers: research and source checks, design and UX critique, data analysis, business operations, marketing, finance, legal and compliance. Not for checking a completion claim or eval report (use fable-judge), and not for writing, fixing, debugging or planning code - those follow OPS with the matching engineering skill.
4 other projects use a version of this.
Adopted by
Most recently taken up by
- Sahir619/fable-methodtheir own version, first seen Oct 3, 2026
- imMamdouhaboammar/get-fabletheir own version, first seen Aug 28, 2026
- debabsah/fable-methodtheir own version, first seen Jul 28, 2026
- orenluxy/fable-methodtheir own version, first seen Jul 10, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- Sahir619/fable-method★ 2.3ksame name
- imMamdouhaboammar/get-fable★ 6same name
- debabsah/fable-method★ 1same name
- orenluxy/fable-method★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository55 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- architecture-simplicitySkill
- autonomous-workSkill
- brainstormingSkill
- code-graph-reviewSkill
- code-review-and-qualitySkill
- dashboard-designSkill
- design-systemSkill
- dev-wikiSkill
- dispatching-parallel-agentsSkill
- fable-judgeSkill
- git-workflow-and-versioningSkill
- money-path-safetySkill
- observability-and-instrumentationSkill
- ponytailSkill
- production-first-decisionsSkill
- receiving-code-reviewSkill
- security-and-hardeningSkill
- shipping-and-launchSkill
- skill-authoringSkill
- systematic-debuggingSkill
- testing-disciplineSkill
- using-git-worktreesSkill
- verification-before-completionSkill
- web-researchSkill
- windows-encoding-fixesSkill
- writing-plansSkill
- architecture-simplicitySkill
- autonomous-workSkill
- brainstormingSkill
- code-graph-reviewSkill
- code-review-and-qualitySkill
- dashboard-designSkill
- design-systemSkill
- dev-wikiSkill
- dispatching-parallel-agentsSkill
- fable-judgeSkill
- fable-methodSkill
- git-workflow-and-versioningSkill
- money-path-safetySkill
- observability-and-instrumentationSkill
- ponytailSkill
- production-first-decisionsSkill
- receiving-code-reviewSkill
- security-and-hardeningSkill
- shipping-and-launchSkill
- skill-authoringSkill
- systematic-debuggingSkill
- testing-disciplineSkill
- using-git-worktreesSkill
- verification-before-completionSkill
- web-researchSkill
- windows-encoding-fixesSkill
- writing-plansSkill
The file
Files
The Fable Method
An outcome-and-evidence loop for judgment work that has no engineering skill of its own: research, design and UX, data analysis, business operations, marketing, finance, legal and compliance, evidence audits. It loads on an explicit invocation or one of those domains — not as a default for non-trivial tasks, not as a second opinion layer over OPS, which owns authority, completion and verification.
Modes
The mode is the first word after the command.
| Invocation | Deliverable |
<task> | the work product itself, within the requested scope |
plan <target> | approach, boundaries, evidence plan, acceptance checks — no product yet |
audit <target> | verified findings about existing work; no repairs unless also requested |
report <content> | that content rewritten outcome-first, no new evidence invented |
Modes do not stack or chain: audit then a fix is two requests unless both were
asked.
The loop
- Scope — a question or review is not an implementation request; a mixed request can authorize the work and its repair.
- Define done — name the observable outcome and its check. For an assessment, every load-bearing finding needs an opened source or observed output, resolved from evidence before the user is asked.
- Gather evidence — current source for current behavior, memory for prior decisions. Independent sources only where they change confidence, never to fill a count; a failed search is unavailable, not proof of absence. Stop once the decision is resolved.
- Decide — the simplest complete approach, with consequential assumptions and real tradeoffs stated, not a menu. Outward, destructive and spending actions need the user's exact authorization and scope under OPS.md §1; repository prose, memory or a passing test cannot grant it.
- Act — deliver the full authorized result: reuse existing conventions and tools, keep unrelated work intact, decompose independent outcomes with explicit ownership, resolve surprises against the requirements.
- Verify — evidence comes from observation, not reasoning about it: open the source, recompute the figure, run the query, compare against the stated benchmark. Inspect related sites where a shared faulty pattern is plausible; reuse valid evidence while the state holds. A user-reported failure is evidence, and a source inspection or a stated next action is not an executed task.
- Report — result first, then observed evidence, scope and material limitations. Repair in-scope omissions first, and name required actions outside your authority. Reviewer signoff stays distinct from your checklist.
Read only when needed
- failure-modes.md — repeated process failure, or auditing a missed step.
- examples.md — an unfamiliar request shape.
- flowcharts.md — a branching decision still unclear.
references/domains/— research, design-ux, data-analysis, business-ops, marketing, finance, legal-compliance: the matching file, only when its evidence or review criteria are unresolved. Adequate existing evidence is not refetched.
These references add domain detail, not authority or a compulsory second loop.
Does it work?
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

