failproofai-sdk

failproofai-sdk is an LLM evaluation & observability skill for AI agents, published by exospherehost in the failproofai repository on GitHub. Skillspace rates failproofai-sdk F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Unsafe. This skill has patterns associated with malicious or dangerous behaviour. We do not recommend running it.

The way to make an AI agent report what it did to Failproof AI — planning what to record, writing the instrumentation, and proving the events land. Reach for it on vague phrasing too: "add observability to my agent", "why isn't my agent showing up?" Trigger when the user wants to: • plan an integration — which points in their agent loop to record, and what the platform must see before sessions, errors, and evals work at all; • write or fix instrumentation — add the `failproofai_sdk` Python SDK to an agent codebase, thread session/agent identity through it, emit tool, model, hook, or human events; • verify it — confirm events are being written, or debug an integration that looks correct and produces nothing. Served by the `failproofai_sdk` Python SDK, inside the user's own agent. NOT for reading telemetry that already landed or operating a deployment (that's `fp-cloud-cli`), or building the evaluator service that scores runs (that's `agenteye-evaluator`).

Grade

F

Quality

15 / 100

Safety

Unsafe

GitHub stars

1,848

Unproven: rated by static analysis only, not yet compared head-to-head.

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