Reason
v1.0.0Logical reasoning and decision analysis system for clear thinking. Use when user mentions decisions, logic, reasoning, critical thinking, arguments, or probl...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
The name/description (reasoning and decision analysis) match the included script's behavior: local analysis output and storing a JSON record. No unrelated credentials, binaries, or services are requested.
Instruction Scope
SKILL.md references several scripts (evaluate_argument.py, identify_fallacy.py, structure_problem.py, check_bias.py, build_framework.py) and reference docs that are not present in the package. The provided script (analyze_decision.py) is self-contained and stays within local storage, but the missing files mean some runtime instructions cannot be followed as-is.
Install Mechanism
No install spec is provided (instruction-only plus one small script). Nothing is downloaded or installed by the skill itself.
Credentials
The skill requests no environment variables or credentials. It writes data locally only. The amount and type of access (writing to a local workspace directory) are proportional to its stated purpose.
Persistence & Privilege
The script writes decision records to a directory under the user's home (~/.openclaw/workspace/memory/reason). This is expected for a memory feature, but note it will create/modify files in that path. always:false and no elevated privileges are requested.
Assessment
This skill appears to be what it says: a local decision‑analysis helper that saves analyses to a local memory folder. Before installing, check the following: (1) the package references several scripts and reference files that are not included — request or inspect those files if you need the full feature set; (2) it will create and write JSON files under ~/.openclaw/workspace/memory/reason (ensure you are comfortable with that path and whether your environment syncs or backs it up); (3) there is no evidence of network access or secret collection in the provided code, but review any additional scripts (evaluate_argument.py, identify_fallacy.py, etc.) before enabling the skill. If you want extra assurance, ask for the full source for the missing scripts or run the included script in a sandbox to observe behavior.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.