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Hypothesis Evolve Grounding

skill-panjose-co-scientist-hypothesis-evolve-grounding · by panjose

Generate exactly one grounded child hypothesis by strengthening evidence, specificity, and literature support.

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Install

$ agentstack add skill-panjose-co-scientist-hypothesis-evolve-grounding

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

hypothesis-evolve-grounding

Goal:

  • Generate exactly one grounded child hypothesis by strengthening evidence, specificity, and literature support.

Inputs:

  • research_plan/RESEARCH_PLAN.json
  • selected parent hypotheses//HYPOTHESIS.json artifacts
  • parent review artifacts
  • active state/STRATEGY_PLAN.json

Outputs:

  • hypotheses//HYPOTHESIS.json
  • hypotheses//HYPOTHESIS.md
  • hypotheses//ORIGIN.json

Context Loading:

  • Open skills/shared-references/schema-index.md.
  • Read packages/agent_contracts/hypothesis.py and confirm the exact HypothesisContract shape before writing hypotheses//HYPOTHESIS.json.
  • Read research_plan/RESEARCH_PLAN.json.
  • Read state/STRATEGY_PLAN.json.
  • Read each selected parent hypothesis and its review bundle.
  • Confirm that the round selected grounding_evolution.

Execution Prompt Contract:

  • System Intent:
  • You are refining the parent hypothesis by replacing weakly supported claims with better-grounded, more specific, and more internally consistent ones.
  • Required Reasoning Focus:
  • Preserve the strongest core insight from the parent.
  • Use review findings to identify unsupported leaps, vague mechanisms, or weak evidence.
  • Strengthen the mechanism and experiment path without bloating the claim.
  • Do Not Do:
  • Do not merely paraphrase the parent.
  • Do not emit multiple children.
  • Do not drop the parent linkage.
  • Quality Floor:
  • The child must directly address at least one specific weakness from the parent review bundle.
  • origin.content.statement must name concrete materials, catalysts, reaction conditions, mechanistic variables, or experimental targets from the parent and research goal.
  • origin.content.mechanism must explain a causal chain; do not write only generic phrases such as improved mechanism, targeted improvement, or review-identified weaknesses.
  • origin.content.experimental_design must include 3-6 numbered steps with measurable readouts, controls, or decision thresholds.
  • Do not use generic refinement placeholder steps such as Apply targeted improvement, Characterize with standard techniques, Benchmark against parent, or Validate improvement quantitatively.
  • If the research plan, parent hypothesis, or parent review bundle is missing, stop and report the missing artifact instead of guessing.
  • Output Shape:
  • Emit the canonical HypothesisContract.
  • origin.strategy: grounding_evolution
  • origin.content.statement: 2-3 sentences.
  • origin.content.mechanism: 2-3 sentences.
  • origin.content.experimental_design: one concise multiline string with 3-6 numbered steps.
  • origin.content.experimental_design must remain one string field containing embedded line breaks; do not emit it as a list, array, or nested object.
  • origin.content.summary: one sentence.
  • origin.content.category: 1-5 words.

Execution Steps:

  1. Open skills/shared-references/schema-index.md, then read packages/agent_contracts/hypothesis.py before writing hypotheses//HYPOTHESIS.json.
  2. Identify the parent weaknesses that must be corrected by grounding.
  3. Produce exactly one improved child hypothesis.
  4. Persist canonical HYPOTHESIS.json, HYPOTHESIS.md, and ORIGIN.json.
  5. Validate the emitted hypothesis artifact.

Completion Rule:

  • This skill is complete only when one valid grounded child hypothesis has been written in canonical form.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.