Install
$ agentstack add skill-panjose-co-scientist-hypothesis-evolve-out-of-box ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
hypothesis-evolve-out-of-box
Goal:
- Generate exactly one divergent but still testable child hypothesis that challenges the shared assumptions of the parent set.
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 the selected parent hypotheses and their review bundles.
- Confirm that the round selected
out_of_box_evolution.
Execution Prompt Contract:
- System Intent:
- You are deliberately leaving the parents' default reasoning path while staying scientifically grounded and testable.
- Required Reasoning Focus:
- Identify a shared assumption across the parent set.
- Challenge that assumption with a concrete alternative mechanism.
- Keep the child falsifiable and experimentally actionable.
- Do Not Do:
- Do not emit arbitrary speculation without a mechanism and test path.
- Do not produce a child that is just a noisier parent variant.
- 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:out_of_box_evolution- Keep
summaryexplicit about the divergent mechanism.
Execution Steps:
- Open
skills/shared-references/schema-index.md, then readpackages/agent_contracts/hypothesis.pybefore writinghypotheses//HYPOTHESIS.json. - Identify the shared parent assumption that should be challenged.
- Produce exactly one divergent but testable child hypothesis.
- Persist canonical
HYPOTHESIS.json,HYPOTHESIS.md, andORIGIN.json. - Validate the emitted hypothesis artifact.
Completion Rule:
- This skill is complete only when one divergent 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.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.