ADI Decision Engine

v0.1.0

Structured multi-criteria decision analysis for ranking options with weights, constraints, confidence, tradeoff reasoning, sensitivity analysis, and explaina...

0· 291·1 current·1 all-time
byDimitris Gousopoulos@dimgouso
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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high confidence
Purpose & Capability
Name/description (ADI decision engine) align with required artifacts: python3 and either an importable 'adi' package or an 'adi' CLI. The included scripts (normalize, validate, run) match the stated purpose and examples. No unrelated binaries, services, or credentials are requested.
Instruction Scope
SKILL.md and the scripts only instruct reading a user-supplied JSON or text payload (stdin or file), validating/normalizing it, and invoking the ADI runtime locally. They do not read other system files, environment variables, or contact external endpoints. The scripts explicitly stop if the runtime is missing.
Install Mechanism
There is no install spec (instruction-only skill). All code is included in the bundle; no downloads, URL installs, or archive extraction are present. This is low-risk from an installation perspective. The runtime dependency (adi package or adi CLI) is expected for this functionality.
Credentials
The skill declares no required env vars, no credentials, and the code does not access environment variables or secret/config paths. This is proportionate to the claimed functionality.
Persistence & Privilege
The skill does not request permanent presence (always: false). The agents/openai.yaml sets allow_implicit_invocation: true which allows implicit invocation by agents; this is not inherently dangerous here but worth noting so you know an agent may call it without an explicit user command.
Assessment
This skill appears coherent and matches its description: it normalizes/validates decision requests and either imports the 'adi' Python package or calls an 'adi' CLI to compute rankings. Before installing/use: 1) ensure you trust the source of the 'adi' runtime (the skill delegates execution to that package/CLI); a malicious or compromised local 'adi' installation could be harmful; 2) avoid embedding sensitive credentials or secrets inside request JSON files passed to the skill (the skill reads whatever you supply); 3) be aware the agent policy allows implicit invocation, so the agent might call the skill automatically—if you want to avoid that, adjust invocation policies. Otherwise the bundle contains no network calls, no secret requests, and uses subprocess.run without shell=True, which reduces injection risk.

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.

Runtime requirements

⚖️ Clawdis
OSmacOS · Linux · Windows
Binspython3

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