ClawHub

Scientific Thinking

v1.0.0

Use when interpreting research findings, evaluating scientific evidence, analyzing mechanisms, comparing competing hypotheses, designing experiments, or cons...

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byAgents365.ai@agents365-ai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
CryptoCan make purchases
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name and description match the SKILL.md content. The skill requests no credentials, binaries, or config paths and does not attempt to perform unrelated actions. The guidance and examples are appropriate for a scientific-reasoning meta-skill.
✓
Instruction Scope
Runtime instructions focus on reasoning steps (framing, decomposing, labeling evidence, ranking hypotheses, calibrating claims, next steps). They do not tell the agent to read arbitrary local files, exfiltrate data, or contact third-party endpoints. One minor note: the guidance says 'retrieve [missing evidence] or explicitly label as provisional' — which reasonably permits using the agent's available tools (web search, databases) but is not itself a data-exfiltration instruction.
✓
Install Mechanism
There is no formal install spec in the package (instruction-only). README shows manual git clone commands for optional installation to user skill directories, which is standard and expected; no remote binary downloads or archive extraction are present in the skill metadata.
✓
Credentials
The skill declares no required environment variables, credentials, or config paths. Nothing in SKILL.md accesses secrets or unrelated environment data.
✓
Persistence & Privilege
Flags indicate default behavior (always: false, agent invocation allowed). The skill does not request permanent presence or elevated privileges and does not instruct modifying other skills or global agent configuration.
Assessment
This is an instruction-only meta-skill that appears coherent and low-risk: it asks the agent to follow a structured reasoning checklist and does not request secrets or install binaries. Before installing, note that README suggests cloning the repo into your user skill directories (which will write files under your home). Also be aware that the skill's instruction to 'retrieve' missing evidence implies the agent may use whatever tools or web access it already has; if you run the agent with web or file access enabled, expect it may fetch external sources — review tool permissions and prefer agents with restricted external access if you want to limit network/file activity. Finally, as with any reasoning skill, verify important factual claims with primary sources and request explicit citations when needed.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🔬 Clawdis
OSmacOS · Linux · Windows

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