From fable-discipline
Use for empirical investigation / analysis / forensics work where the goal is a defensible finding, not a feature — analyzing a dataset, testing a hypothesis, reverse-engineering an artifact, building an evidence-backed report or paper. Establishes pre-registration, positive/negative controls, calibrated negatives, adversarial self-correction, capability-bound caveats, and the read-the-primary-source-don't-summarize rule.
How this skill is triggered — by the user, by Claude, or both
Slash command
/fable-discipline:research-investigationThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
A scientific-rigor discipline for work whose deliverable is a *defensible claim*.
A scientific-rigor discipline for work whose deliverable is a defensible claim. The discipline IS the product: a finding nobody can reproduce or that skipped its controls is worth nothing, however exciting. Apply whenever you're testing hypotheses, analyzing data/artifacts, or writing an evidence-backed report.
The biggest failure mode of a synthesis pass is writing from your own .md
reading-notes without re-opening the source. Forbidden. Every source a claim
leans on must be READ by the agent writing that claim, from the source itself —
not its paraphrase. Gate completion with a source-engagement ledger: one row per
section × the primaries it rests on, each marked READ / FETCHED / BROWSED /
BLOCKED. A section with an unaccounted load-bearing primary is not finished.
See PROVENANCE.md for sources.
npx claudepluginhub petrkindlmann/fable-discipline --plugin fable-disciplineGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.