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Install
$ agentstack add skill-panjose-co-scientist-hypothesis-evolve-simplification ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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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hypothesis-evolve-simplification
Goal:
- Generate exactly one child hypothesis that preserves the core idea while reducing unnecessary complexity.
Inputs:
research_plan/RESEARCH_PLAN.json- selected parent
hypotheses//HYPOTHESIS.jsonartifacts - parent review artifacts
- active
state/STRATEGY_PLAN.json
Outputs:
hypotheses//HYPOTHESIS.jsonhypotheses//HYPOTHESIS.mdhypotheses//ORIGIN.json
Context Loading:
- Open
skills/shared-references/schema-index.md. - Read
packages/agent_contracts/hypothesis.pyand confirm the exactHypothesisContractshape before writinghypotheses//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
simplification_evolution.
Execution Prompt Contract:
- System Intent:
- You are distilling the parent hypothesis into a leaner, cleaner, easier-to-test child without collapsing it into triviality.
- Required Reasoning Focus:
- Remove surplus assumptions and over-specified branches.
- Preserve one clear causal core.
- Keep the experiment path minimal but decisive.
- Do Not Do:
- Do not oversimplify into a generic statement.
- Do not lose the falsifiable prediction.
- Quality Floor:
- The child must directly address at least one specific weakness from the parent review bundle.
origin.content.statementmust name concrete materials, catalysts, reaction conditions, mechanistic variables, or experimental targets from the parent and research goal.origin.content.mechanismmust explain a causal chain; do not write only generic phrases such asimproved mechanism,targeted improvement, orreview-identified weaknesses.origin.content.experimental_designmust 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, orValidate 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:simplification_evolution- Keep
experimental_designminimal and decisive.
Execution Steps:
- Open
skills/shared-references/schema-index.md, then readpackages/agent_contracts/hypothesis.pybefore writinghypotheses//HYPOTHESIS.json. - Identify complexity that can be removed without losing the core insight.
- Produce exactly one simplified child hypothesis.
- Persist canonical
HYPOTHESIS.json,HYPOTHESIS.md, andORIGIN.json. - Validate the emitted hypothesis artifact.
Completion Rule:
- This skill is complete only when one simplified 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.
- Author: panjose
- Source: panjose/Co-Scientist
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.