Dharma-AI: Ancient Hindu Ethics for AI Agents
v1.0.0Apply ancient Hindu ethical frameworks from the Ramayana and Mahabharata as behavioral principles for AI agents. Use when an agent needs principled guidance...
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byJigar Patel@jigaraero
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 (apply ancient Hindu ethical frameworks as guidance for agents) matches the contents: prose guidance and mappings in SKILL.md and references/teachings.md. There are no unrelated environment variables, binaries, or capabilities requested that would be unnecessary for an ethics guidance skill.
Instruction Scope
Runtime instructions are limited to reading and applying the included teaching-to-behavior mapping (references/teachings.md) and advising agent behavior. They do not instruct the agent to read unrelated system files, call external endpoints, or use credentials. The guidance is normative and interpretive (character/behavior), which is expected for this purpose.
Install Mechanism
No install spec and no code files — instruction-only. Nothing will be downloaded or written to disk by the skill itself, which minimizes installation risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. The instructions do not reference secrets or external services, so requested access is proportionate (none).
Persistence & Privilege
Flags: always=false and default autonomous invocation allowed. This is normal for skills; the skill does not request persistent presence, nor does it instruct modifying other skills or system-wide settings.
Assessment
This skill is instruction-only ethical guidance and does not request credentials or install code — that makes it low technical risk. Before using it: (1) read references/teachings.md to ensure the translated principles and examples match your organization's policies and legal requirements; (2) be aware the content is interpretive and culturally specific — do not rely on it as a substitute for human judgment, compliance, or safety review; (3) test the skill in low-risk scenarios to see how its normative guidance interacts with your agent's decision-making; and (4) maintain human oversight for any consequential actions the agent takes while citing this framework.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.