scientific-thinkingUse when interpreting research findings, evaluating scientific evidence, analyzing mechanisms, comparing competing hypotheses, designing experiments, or cons...
Install via ClawdBot CLI:
clawdbot install agents365-ai/scientific-thinkingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"Your role is"Calls external URL not in known-safe list
https://github.com/Agents365-ai/scientific-thinking-skillUses known external API (expected, informational)
raw.githubusercontent.comAI Analysis
The skill's external URL is a public GitHub repository for documentation, not an active data endpoint, and the 'Your role is' phrasing is a common instructional pattern for agent behavior, not a system override command. No credential harvesting, data exfiltration, or obfuscation is present.
Generated May 12, 2026
A pharmaceutical researcher interprets clinical trial results to assess drug efficacy and safety. The skill helps separate observed outcomes from statistical noise, evaluate confounding factors, and calibrate the strength of conclusions based on evidence quality.
An environmental scientist evaluates competing hypotheses about the cause of a local ecosystem change. The framework guides decomposition of evidence (e.g., chemical data vs. observational records) and consideration of alternative explanations like pollution versus climate variation.
A market analyst designs an experiment to test whether a new feature drives user engagement. Using the skill, they clearly distinguish correlation from causation, identify hidden assumptions, and propose next-step experiments to discriminate between leading explanations.
A journal reviewer uses the framework to critique a manuscript's claims. They check for conflation of association with causation, evaluate whether evidence provenance is properly labeled, and assess if conclusions are appropriately bounded.
A product manager analyzes an A/B test with borderline significance. The skill helps avoid overclaiming, consider alternative explanations (e.g., novelty effect or sample bias), and recommend a follow-up test while stating uncertainty clearly.
Integrate the scientific thinking skill into existing SaaS platforms (e.g., research management tools, data analytics dashboards) to enhance users' reasoning capabilities. Revenue comes from licensing fees or per-seat subscriptions.
Offer structured courses, workshops, and certifications for professionals (e.g., scientists, analysts) to learn the scientific thinking framework. Generate revenue from course fees and certification exams.
Provide consulting services to help organizations customize and integrate the skill into their workflows, such as developing automated reasoning agents for internal R&D or policy analysis. Charge project-based fees.
💬 Integration Tip
Implement the reasoning framework as a system prompt or chain-of-thought template in your LLM agent. For maximum impact, pair with literature review and data retrieval tools to automatically source evidence when needed.
Scored May 12, 2026
Audited Apr 17, 2026 · audit v1.0
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