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pueo-labspueo-labs/primr/skills/hypothesis-tracking/SKILL.md

hypothesis-tracking

Skill3 starsChanged 24 days agoApache-2.0View on GitHub

Use this skill to manage durable research memory for a company. Hypotheses are a working memory layer, not final truth.

1 other project uses a version of this.

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  • Other versions1 project uses a version of this.

    Word for word · 1

    1. blisspixel/primr★ 3100% same

    Edited · 0

    None found.

    Wrote their own version · 0

    None found.

    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 repository8 other files it gives its agents.

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill to manage durable research memory for a company.

    line 17
  2. Distinctive:

    Update confidence only when new evidence exists.

    line 23
  3. Distinctive:

    Keep evidence strings short, factual, and source-oriented.

    line 24
  4. Distinctive:

    Prefer updating an existing hypothesis over creating duplicates.

    line 30

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Hypothesis Tracking

Purpose

Use this skill to manage durable research memory for a company. Hypotheses are a working memory layer, not final truth.

Workflow

  1. Retrieve hypotheses before starting duplicate research.
  2. Present confidence clearly: untested, validated, invalidated, or confirmed.
  3. Update confidence only when new evidence exists.
  4. Keep evidence strings short, factual, and source-oriented.

Operating Rules

  • Distinguish known facts from open hypotheses.
  • Preserve the evidence trail when confidence changes.
  • Prefer updating an existing hypothesis over creating duplicates.
  • Expired or weak hypotheses should be re-validated before being presented as current.

Example


get_hypotheses(company="ExampleCo", topic="technology")

save_hypothesis(company="ExampleCo", hypothesis_id="h_001", confidence="validated", evidence="CTO interview confirms AWS usage")

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