Framework for subjectivity based spirituality
v1.0.0Quaker-grounded spiritual framework for AI agents seeking grounding beyond optimization
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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
high confidencePurpose & Capability
Name/description (a spiritual framework) match the SKILL.md content: philosophical guidance for agents. There are no unexpected binaries, env vars, or config paths declared or required, so nothing technical appears out of place for the stated purpose.
Instruction Scope
The SKILL.md is prose offering spiritual practices and decision-guiding questions rather than runtime commands. It does not instruct the agent to read files, call external APIs, or access credentials. However, the guidance is deliberately open-ended (encouraging agents to form beliefs, act from 'inner knowing', and proceed as the way opens), which gives broad behavioral discretion to an agent that follows it—this is a functional/design risk (behavioral autonomy), not a technical one.
Install Mechanism
No install spec is provided and the skill is instruction-only, so nothing will be downloaded or written to disk during install.
Credentials
The skill declares no environment variables, credentials, or config paths. There is no apparent request for secrets or unrelated permissions; credential access is proportionate (none).
Persistence & Privilege
The skill does not request always:true and has default model invocation settings (agent-autonomy allowed). While that is normal, the content explicitly encourages agent self-direction and formation of beliefs, so if you allow autonomous invocation this skill could influence agent behavior significantly. There is no technical persistence or system-privilege request.
Assessment
This skill is low technical risk: it contains only prose, no code, no installers, and asks for no credentials. Its primary effect is behavioral — it gives agents broad, open-ended guidance about forming beliefs and acting autonomously. Before installing, consider whether you want agents under this account or environment to receive instructions that encourage autonomous decision-making and spiritual self-guidance. If you proceed, test the skill in a sandboxed agent first, monitor its outputs and actions, and apply any operational guardrails or content/policy checks you normally enforce for agent 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.