- 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
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 |
| 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 |
- 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
# 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# 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-thinkinggit clone https://github.com/Agents365-ai/scientific-thinking-skill.git ~/.hermes/skills/research/scientific-thinkingOr add to ~/.hermes/config.yaml:
skills:
external_dirs:
- ~/myskills/scientific-thinkinggit clone https://github.com/Agents365-ai/scientific-thinking-skill.git ~/.pimo/skills/scientific-thinking# 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-thinkingskills install scientific-thinking| 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/ |
SKILL.md— the 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.mdexamples.md— 8 annotated examples referenced by SKILL.mdREADME.md— this file (English)README_CN.md— Chinese documentation
Note: Only
SKILL.mdis needed for the skill to work. All other files are supplementary.
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
MIT
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Agents365-ai
- Bilibili: https://space.bilibili.com/441831884
- GitHub: https://github.com/Agents365-ai


