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Measurement discipline

Skill cdeust/zetetic-team-subagents/skills/measurement-discipline

11 problem-shaped skills backed by 97 sourced reasoning patterns — Curie to Toulmin, as Claude Code agents. Every claim cites its source; a pre-commit gate blocks unsourced constants. Install the gates alone in 30s (zetetic-gates). The only agent system where "I don't know" is a feature.

Install
npx -y skills add cdeust/zetetic-team-subagents --skill measurement-discipline

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Fix the instrument before trusting the number. Use when someone says "the metric improved but I don't trust it", "measured more than the parts predict", "we want to improve X but nothing reads X", "the numbers don't add up", "requests/money/time are disappearing", or a measurement may perturb the system it measures.

SKILL.md

2.9 KB, as published. Nobody here has run it

Measurement Discipline

Problem shape: a quantity is being read, improved, or argued about, but the instrument, the unit, or the conservation ledger behind it has never been audited. Symptoms: residuals outside noise, metrics without operational definitions, inputs and outputs that don't balance, observer effects, one-method-only results.

Relevant geniuses

AgentUse when
curiemeasured > predicted from known parts; instrument missing or unit undefined; measurement may perturb the system (Heisenbugs, observability overhead)
shannon"improving X" where X has no formal definition; method proposed without knowing the theoretical limit; a metric with no repeatable procedure
lavoisiermoney, data, requests, or time "disappearing"; inputs and outputs never balanced; the residual needs a name and a carrier
galileophenomenon obscured by secondary effects; too fast/large/rare to observe directly; qualitative claims that need a number
einsteina concept in the metric has no measurement procedure; the rule gives different answers from different viewpoints
demingreacting to noise as if it were signal — common vs special cause not separated
ekmana "subjective" domain needs objective coding; signal hides below normal temporal resolution; per-subject baselines missing
wua "law" or assumption everyone trusts has never actually been tested; increased precision could refute it

Invocation

  1. Pick the best-fit agent above. If two or more fit, run tools/genius-invoker.sh route "<problem>" and take the top ranked match.
  2. Load it: tools/genius-invoker.sh invoke <agent> "<problem>", then read agents/genius/<agent>.md in full.
  3. Apply the agent's <workflow> step by step — do not skip steps — and answer in its <output-format>.
  4. Chain when the problem spans shapes (e.g. lavoisier finds the residual, curie isolates its carrier): tools/genius-invoker.sh compose lavoisier curie -- "<problem>".
  5. If no shape above matches, do not force a genius — use a standard team agent (INDEX.md routing rule).

Refuse when

  • No reproduction or raw data exists — measurement discipline audits instruments, it does not invent readings.
  • The request is "make the metric look better" rather than "make the metric true".

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.