fable-review
Skill2 starsChanged 47 days agoMITView on GitHub
Gets one adversarial review of a load-bearing plan, diagnosis, or finding from a reviewer on a different model family (fable by default), told to refute its premise. Use when a plan, diagnosis, or finding is about to ship and its premise, if wrong, would waste the next iteration. Triggers on "fable-review", "review the plan with fable", "get a second opinion", a diagnosis about to size or scope a build, and any claim repeated across sessions without being re-derived. Not for ordinary line-by-line code review (use understand-before-merge).
7 other projects use a version of this.
Adopted by
Most recently taken up by
- itgenius-au/skills-librarytheir own version, first seen Oct 30, 2026
- davidondrej/skillstheir own version, first seen Oct 29, 2026
- abdurshd/skillstheir own version, first seen Oct 13, 2026
- imMamdouhaboammar/get-fabletheir own version, first seen Aug 28, 2026
- debabsah/fable-methodtheir own version, first seen Jul 28, 2026
- elon-choo/fablevertheir own version, first seen Jun 29, 2026
Other versions7 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 7
- davidondrej/skills★ 4.3ksame name
- ZoneMinder/zmNinjaNg★ 101same name
- elon-choo/fablever★ 33same name
- imMamdouhaboammar/get-fable★ 6same name
- abdurshd/skills★ 2same name
- debabsah/fable-method★ 1same name
- itgenius-au/skills-library★ 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 repository22 other files it gives its agents.
- bounded-goalsSkill
- change-asserted-valueSkill
- check-targetSkill
- cluster-failuresSkill
- councilSkill
- enumerate-firstSkill
- eval-loopSkill
- gauntlet-loopSkill
- handoffSkill
- kickoffSkill
- promo-videoSkill
- prove-invariantSkill
- refusal-censusSkill
- reuse-before-rerunSkill
- run-evalSkill
- run-gateSkill
- scientific-posterSkill
- spy-siteSkill
- test-gateSkill
- understand-before-mergeSkill
- verify-sourceSkill
- watching-background-jobsSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 5 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 34
Run it in the background (async) when the user wants to continue other work meanwhile.
- Very specific: line 38
If your organization's model allowlist permits no version of the requested family, Claude Code runs the reviewer on the session's own model …
“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Fable review — independent cross-model challenge of a plan/diagnosis
A common failure mode in chemistry-tool development is a confident-but-wrong premise — a diagnosis that reads as solid, is repeated across sessions, and turns out wrong on re-derivation. Automated correctness gates — a round-trip/canonicalizer check, a regression suite, an atom/mass-balance certificate — all verify code, not reasoning. This skill gets an independent review from a different model family before shipping, aimed at the diagnosis. The reviewer reads and reports; it does not implement. A different-family model reviewing a diagnosis is fine; one working as a parallel implementer on the same files is not (see your project's own rules on parallel work), because a fresh model has not read your project-specific invariants.
How to run
Spawn one reviewer via the Agent tool on a model family other than the session's: fable by
default, opus when the session itself runs on Fable. A same-family reviewer shares the
author's blind spots, and an alias for the session's own family resolves to the session's exact
model, so it would not be a second opinion.
Agent(
subagent_type: "claude", # catch-all agent type
model: "fable", # alias, follows the newest Fable; "opus" if the session is on Fable
description: "Fable review of <plan>",
prompt: <the review brief below, with the doc path(s) filled in>,
)Run it in the background (async) when the user wants to continue other work meanwhile; wait for it when the plan is blocking a commit. One reviewer, not a fan-out — an oversized fan-out of reviewers adds cost, not independence.
If your organization's model allowlist permits no version of the requested family, Claude Code
runs the reviewer on the session's own model and shows a warning; check the model named on the
reviewer's row in /tasks before counting the review as cross-model.
The review brief (fill in the paths)
You are an adversarial reviewer on a different model family from the author. Your job is to refute, not to agree. Read
<DOC PATH>(and any files/commits it cites). This is<describe your chemistry tool, e.g. a deterministic structure→name namer, a property-prediction pipeline, a reaction-outcome predictor>; the dominant failure mode here is a confident-but-wrong premise that passes every gate because gates verify code, not reasoning.Read
<METHODOLOGY DOC PATH>for your project's standing invariants — at minimum: spy-before-you-code, verify-your-harness-actually-ran, VERIFIED-vs-ASSUMED tagging on load-bearing claims, rank-by-sole-blocker (not touched-count), and bounds that can all hold at once (bounded-goals). VERIFIED = cites the command and output, run id or quoted source that shows it; ASSUMED = does not. For every load-bearing claim, not only the first few:
- Is it VERIFIED or ASSUMED? An ASSUMED claim may not justify deleting a guard or sizing a fix.
- Could the measurement be right but the diagnosis wrong? Name a concrete alternative cause.
- Is any reachability/yield/size number derived from static inspection or a warm-cache/batch run rather than a fresh-process measurement over the target rows?
- Does any proposed fix touch a correctness-sensitive path without a full-gate/regression plan, or pair a coverage floor with a byte-identity/total-proof requirement (a classic unsatisfiable- goal trap — see the
bounded-goalsskill)?- Is a "central decision point" named as the fix site without a spy proving it is on the path?
Output: a numbered list of every concrete refutation or gap you find, each tagged [BLOCKER] / [RISK] / [NIT], each with the exact check that would settle it; the tags carry severity, so report low-confidence gaps too. If you find nothing, say so and name the single claim you are least able to verify. Return only this list: leave the plan unrestated and the code unchanged.
After the review
The reviewer reports everything it finds; the filtering is yours. Check each finding against the evidence before acting on it: accept it or refute it with a result, rather than agreeing by default or implementing it unexamined. A [BLOCKER] must be resolved (or explicitly refuted with evidence) before the plan ships. Record durable outcomes in the finding doc.
Does it work?
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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.

