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scientific-thinking — Structured Scientific Reasoning for AI Agents

中文文档

What it does

  • Frames and decomposes research questions before answering
  • Distinguishes observed fact / direct evidence / indirect evidence / hypothesis / speculation
  • Labels claim provenance: provided data vs. background knowledge vs. inference
  • Ranks competing explanations by available support
  • Calibrates conclusion language to evidence strength
  • Defines interpretation boundaries and unresolved uncertainty
  • Suggests the lowest-cost next step that would discriminate between explanations

Multi-Platform Support

Works with all major AI agents that support the Agent Skills format:

Platform Status Details
Claude Code ✅ Full support Native SKILL.md format
OpenClaw / ClawHub ✅ Full support metadata.openclaw namespace
Hermes Agent ✅ Full support metadata.hermes namespace, category: research
Pi-Mo ✅ Full support metadata.pimo namespace
OpenAI Codex ✅ Full support agents/openai.yaml sidecar
SkillsMP ✅ Indexed GitHub topics configured

Comparison: with vs. without this skill

Capability Native agent This skill
Distinguish fact from interpretation Sometimes Always, explicitly labeled
Label claim provenance No Yes — data / background / inference
Consider alternative explanations Inconsistent Yes — ranked by support
Calibrate language to evidence No Yes — 5-level scale
State interpretation boundary Rarely Always
Suggest discriminating next step No Yes
Handle null results correctly No Yes — absence ≠ evidence of absence
Reconcile conflicting papers No Yes — maps experimental differences
Evidence provenance for missing data No Yes — labels answer as provisional

When to use

  • Interpreting experimental results or paper conclusions
  • Evaluating competing hypotheses
  • Analyzing mechanisms or pathways
  • Designing or critiquing experiments
  • Constructing scientific arguments for writing
  • Reconciling conflicting findings
  • Any research question where overclaiming is a risk

Skill Installation

Claude Code

# Global install (available in all projects)
git clone https://github.com/Agents365-ai/scientific-thinking-skill.git ~/.claude/skills/scientific-thinking

# Project-level install
git clone https://github.com/Agents365-ai/scientific-thinking-skill.git .claude/skills/scientific-thinking

OpenClaw / ClawHub

# Via ClawHub
clawhub install scientific-thinking

# Manual install
git clone https://github.com/Agents365-ai/scientific-thinking-skill.git ~/.openclaw/skills/scientific-thinking

# Project-level install
git clone https://github.com/Agents365-ai/scientific-thinking-skill.git skills/scientific-thinking

Hermes Agent

git clone https://github.com/Agents365-ai/scientific-thinking-skill.git ~/.hermes/skills/research/scientific-thinking

Or add to ~/.hermes/config.yaml:

skills:
  external_dirs:
    - ~/myskills/scientific-thinking

Pi-Mo

git clone https://github.com/Agents365-ai/scientific-thinking-skill.git ~/.pimo/skills/scientific-thinking

OpenAI Codex

# User-level install
git clone https://github.com/Agents365-ai/scientific-thinking-skill.git ~/.agents/skills/scientific-thinking

# Project-level install
git clone https://github.com/Agents365-ai/scientific-thinking-skill.git .agents/skills/scientific-thinking

SkillsMP

skills install scientific-thinking

Installation paths summary

Platform Global path Project path
Claude Code ~/.claude/skills/scientific-thinking/ .claude/skills/scientific-thinking/
OpenClaw ~/.openclaw/skills/scientific-thinking/ skills/scientific-thinking/
Hermes Agent ~/.hermes/skills/research/scientific-thinking/ Via external_dirs config
Pi-Mo ~/.pimo/skills/scientific-thinking/
OpenAI Codex ~/.agents/skills/scientific-thinking/ .agents/skills/scientific-thinking/

Files

  • SKILL.mdthe only required file. Loaded by all platforms as the skill instructions.
  • agents/openai.yaml — OpenAI Codex-specific configuration (display, policy, capabilities)
  • checks.md — 10-point self-check list referenced by SKILL.md
  • examples.md — 8 annotated examples referenced by SKILL.md
  • README.md — this file (English)
  • README_CN.md — Chinese documentation

Note: Only SKILL.md is needed for the skill to work. All other files are supplementary.

GitHub Topics

For SkillsMP indexing, this repository uses the following topics:

claude-code claude-code-skill claude-skills agent-skills skillsmp skill-md scientific-thinking research reasoning evidence-evaluation

License

MIT

Support

If this skill helps your research, consider supporting the author:

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Author

Agents365-ai

About

Structured scientific reasoning skill for AI agents — Claude Code, OpenClaw, Hermes, Pi-Mo, Codex, SkillsMP

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