AIML Сontent Moderation

v1.0.0

Content moderation and safety checks. Instantly classify text or images as safe or unsafe using AI guardrails.

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byAI/ML API@aimlapihello
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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Benign
high confidence
Purpose & Capability
Name/description claim moderation via AIMLAPI guard models and the code calls an AIMLAPI chat completions endpoint using an AIMLAPI API key — this is proportionate and expected.
Instruction Scope
Runtime instructions tell the agent to run the included script with content and model arguments, which matches the code. Minor inconsistencies in model naming (SKILL.md mentions meta-llama/Llama-Guard-3-8B while the script defaults to meta-llama/LlamaGuard-2-8b) are present but do not expand scope. Important: the script sends the provided content to an external API, so any content checked will be transmitted off-host.
Install Mechanism
No install spec (instruction-only with an included script) — low install risk. The script imports the Python 'requests' library but the skill metadata doesn't declare this dependency; the runtime may fail if 'requests' is not installed. No downloads from unknown URLs or archive extraction are present.
Credentials
Only AIMLAPI_API_KEY is required and used by the code to authenticate to the AIMLAPI endpoint — this is appropriate for the stated purpose. No unrelated env vars, config paths, or secrets are requested.
Persistence & Privilege
The skill does not request 'always: true' and does not modify other skills or system configs. It runs on demand and holds no elevated persistence or privileges.
Assessment
This skill appears coherent for moderation: it will transmit whatever text you check to https://api.aimlapi.com using the AIMLAPI_API_KEY you provide. Before installing, confirm you trust the AIMLAPI service and are comfortable sending the types of content you will moderate (sensitive data will be sent to an external provider). Ensure your runtime has the Python 'requests' package installed (or add it to your environment). Also note the minor model-name mismatch between SKILL.md and the script — if you rely on a specific guard model, verify the exact model ID the provider exposes. If you need stricter privacy, do not send sensitive content to third-party APIs without reviewing their data retention/privacy policies.

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

Environment variables
AIMLAPI_API_KEYrequired

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