hypothesis-evolve-simplification

hypothesis-evolve-simplification is a skill for Claude Code, Codex from panjose/Co-Scientist. It costs 23 tokens per session (674 once invoked), scanned A, original, Apache-2.0.

A research step that creates one simpler version of an existing hypothesis while keeping its central idea. A hypothesis is a proposed explanation that still needs support.

In plain words
What is it for?
Use it during a research evolution round when the selected strategy is simplification and a reviewed parent hypothesis is available.
Why use it?
It removes unnecessary assumptions and extra branches, making the explanation clearer and easier to test.

Skill for Claude CodeCodex

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

Good fit Use it during a research evolution round when the selected strategy is simplification and a reviewed parent hypothesis is available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/panjose/co-scientist/hypothesis-evolve-simplification
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-simplification
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-simplification

README.md
[![agentmods](https://agentmods.dev/badge/skills/panjose/co-scientist/hypothesis-evolve-simplification.svg)](https://agentmods.dev/skills/panjose/co-scientist/hypothesis-evolve-simplification)
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<a href="https://agentmods.dev/skills/panjose/co-scientist/hypothesis-evolve-simplification"><img src="https://agentmods.dev/badge/skills/panjose/co-scientist/hypothesis-evolve-simplification.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 674 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 $0.00023 $0.00674
Opus 5 $0.00012 $0.00337
Sonnet 5 $0.00005 $0.00135
Haiku 4.5 $0.00002 $0.00067

Measured 7d ago against content hash 4cb1a69ca348, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

hypothesis-evolve-simplification 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 7d 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-simplification/SKILL.md · 68 lines

What it actually says

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/<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 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.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: simplification_evolution
    • Keep experimental_design minimal and decisive.

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 complexity that can be removed without losing the core insight.
  3. Produce exactly one simplified 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 simplified 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. 7d ago First seen · 68 lines · 23 tokens per session scan A 4cb1a69ca348

Subscribe to this mod's changes

hypothesis-evolve-simplification is a skill published in the GitHub repository panjose/Co-Scientist (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 674 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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