hypothesis-evolve-out-of-box

hypothesis-evolve-out-of-box is a skill for Claude Code, Codex from panjose/Co-Scientist. It costs 28 tokens per session (693 once invoked), scanned A, original, Apache-2.0.

A research step that creates one alternative hypothesis from an existing group while keeping it testable.

In plain words
What is it for?
Use it to challenge a parent hypothesis, record where the new idea came from, and save the result in the research run.
Why use it?
It helps avoid repeating the same assumptions when exploring possible explanations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to challenge a parent hypothesis, record where the new idea came from, and save the result in the research run.

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Install with agentmods
npx agentmods add skills/panjose/co-scientist/hypothesis-evolve-out-of-box
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add panjose/Co-Scientist --skill hypothesis-evolve-out-of-box
Clone the repo
git clone --depth 1 https://github.com/panjose/Co-Scientist

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hypothesis-evolve-out-of-box

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hypothesis-evolve-out-of-box

Your own site · 80×15
<a href="https://agentmods.dev/skills/panjose/co-scientist/hypothesis-evolve-out-of-box"><img src="https://agentmods.dev/badge/skills/panjose/co-scientist/hypothesis-evolve-out-of-box.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 693 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00028 $0.00693
Opus 5 $0.00014 $0.00347
Sonnet 5 $0.00006 $0.00139
Haiku 4.5 $0.00003 $0.00069

Measured 12d ago against content hash 8bf81fb17b00, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hypothesis-evolve-out-of-box scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/hypothesis-evolve-out-of-box/SKILL.md · 68 lines

What it actually says

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/<id>/HYPOTHESIS.json artifacts
  • parent review artifacts
  • active state/STRATEGY_PLAN.json

Outputs:

  • hypotheses/<id>/HYPOTHESIS.json
  • hypotheses/<id>/HYPOTHESIS.md
  • hypotheses/<id>/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/<id>/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.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: out_of_box_evolution
    • Keep summary explicit about the divergent mechanism.

Execution Steps:

  1. Open skills/shared-references/schema-index.md, then read packages/agent_contracts/hypothesis.py before writing hypotheses/<id>/HYPOTHESIS.json.
  2. Identify the shared parent assumption that should be challenged.
  3. Produce exactly one divergent but testable 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 divergent child hypothesis has been written in canonical form.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 68 lines · 28 tokens per session scan A 8bf81fb17b00

Subscribe to this mod's changes

hypothesis-evolve-out-of-box is a skill published in the GitHub repository panjose/Co-Scientist (5 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 693 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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