Multi-Angle-Thinking
v1.0.1A deep thinking engine that first gathers real global data via web search, then analyzes through 11 lenses (philosophical, ethical, practical, historical, ps...
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byhasanen groof@h7g7
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (multi-angle analysis + simulation) match the SKILL.md, README, and reference guides. Required resources are minimal (no env vars, no external binaries) and the instructions explicitly call for web_search/web_fetch which is coherent with the declared purpose.
Instruction Scope
SKILL.md prescribes a bounded pipeline (max 6 web searches, avoid paywalled/private data, label real-person simulations). That scope aligns with the stated purpose. One point to watch: the included hook (hooks/openclaw/handler.js) automatically scans prompts for trigger phrases and injects a reminder; while the SKILL.md says 'Only invoke on explicit user request,' the hook's trigger is keyword-based and may cause reminders (and thus prompt the agent toward invocation) on any prompt containing those words, causing potential false-positive activation. The skill text does not instruct collecting sensitive private data.
Install Mechanism
There is no remote download/install spec; the skill is instruction-first. The only code files are a small hook handler and an activator script; both are short, readable, and do not fetch external code or create network endpoints. No extract-from-URL or third-party installer is used.
Credentials
The skill requests no environment variables, no credentials, and no config paths. Its runtime behavior (web_search/web_fetch) relies on platform-provided web tools; nothing in the package asks for unrelated secrets or system access.
Persistence & Privilege
always:false and no privileged flags are set. However, the package includes optional hooks (handler.js and activator.sh) that, if installed/enabled by the user, will add prompt-monitoring behavior to the agent (injecting reminders on matches). This is a limited, intentional presence and not an 'always' forced installation, but users should be aware enabling hooks changes the agent's prompt-processing behavior.
Assessment
This skill appears internally coherent and matches its description. Before installing: (1) If you enable the OpenClaw hook, know it will scan incoming prompts for trigger phrases and inject a reminder — this can cause the agent to pursue deep analysis when prompts contain those keywords, so review/disable the hook if you want stricter manual control. (2) The skill uses web_search/web_fetch — ensure your platform's search/fetch tools respect paywalls and privacy (the skill explicitly says not to fetch private/paywalled data). (3) Be cautious when simulating real named people: the SKILL.md requires labeling such simulations as fictional inference, but you should avoid asking it to fabricate private-person behavior. (4) No credentials or downloads are requested by the skill; treat it like an instruction-only tool with optional local hooks and test it with non-sensitive topics first.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.