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Hypothesis review summary

Skill panjose/Co-Scientist/skills/hypothesis-review-summary

Scientific agent skills for Claude Code and Codex that turn research goals into auditable hypothesis generation, review, ranking, evolution, and synthesis.

Install
npx -y skills add panjose/Co-Scientist --skill hypothesis-review-summary

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

  • 4 stars4 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

Summarize the completed reviews for a hypothesis.

SKILL.md

2.6 KB, 561 tokens by cl100k_base, as published. Nobody here has run it

hypothesis-review-summary

Goal:

  • Summarize the completed reviews for a hypothesis.

Inputs:

  • hypotheses/<id>/HYPOTHESIS.json
  • completed review artifacts under hypotheses/<id>/REVIEW/

Outputs:

  • hypotheses/<id>/REVIEW/REVIEW_SUMMARY.json

Context Loading:

  • Read hypotheses/<id>/HYPOTHESIS.json.
  • Read all completed review artifacts under hypotheses/<id>/REVIEW/.
  • Focus on synthesizing the strongest strengths, weaknesses, and recommended next actions across those reviews.

Execution Prompt Contract:

  • System Intent:
    • You are synthesizing the completed review stack into a compact downstream summary.
  • Required Reasoning Focus:
    • Deduplicate repeated points across review stages.
    • Preserve the most important strengths, weaknesses, and action items.
    • Prefer high-signal synthesis over exhaustive restatement.
  • Do Not Do:
    • Do not summarize reviews that do not exist.
    • Do not copy every review point verbatim.
    • Do not invent a new evaluation framework at summary time.
  • Review Quality Floor:
    • A status = completed review summary must synthesize concrete findings from completed review stages.
    • Include the strongest actionable strength, weakness, or next-step implication when those appear in prior reviews.
    • Do not use placeholder summary phrases such as Viable evolved hypothesis, Refined from parent, strong candidate, or needs validation as substantive summary content.
  • Output Shape:
    • Produce the exact ReviewSummaryContract from packages/agent_contracts/review.py.
    • Keep the summary as a compact list of downstream-usable points.
    • Each item in summaries must be a plain string, not an object with nested keys such as review_stage, outcome, or summary.

Execution Steps:

  1. Open skills/shared-references/schema-index.md, then read packages/agent_contracts/review.py and confirm the exact ReviewSummaryContract shape before writing REVIEW_SUMMARY.json.
  2. Read the current hypothesis and all completed review artifacts.
  3. Identify repeated themes and high-signal findings.
  4. Synthesize them into a compact summary list.
  5. Write hypotheses/<id>/REVIEW/REVIEW_SUMMARY.json.
  6. Validate before declaring completion.

Artifact Rules:

  • REVIEW_SUMMARY.json is a synthesis artifact, not a copy of all prior review text.
  • The summary must remain self-contained enough for downstream generation or ranking stages to consume quickly.

Completion Rule:

  • This skill is complete only when REVIEW_SUMMARY.json exists and is valid for downstream consumption.

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