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stoneburner
stoneburner contient 3 skills collectées depuis babywyrm, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Use Stoneburner's inference.env standard and brain utilities to route model evaluation through a selected backend. Use when reading or writing INFERENCE_BACKEND, INFERENCE_URL, INFERENCE_MODEL, INFERENCE_THINK, /opt/agentic/inference.env, atomics.inference, provider_from_target, brain-status, brain-switch, or brain-vllm.
Evaluate models for AI-backed application, workflow, or challenge compatibility with Stoneburner. Use when running atomics qa, adversarial, sweep, provider-test, model promotion, CTF solvability checks, guardrail regression, or classifying models as function-compatible, walkthrough-compatible, too safe, unsafe, or broken.
Create and review Stoneburner target profiles for app-level AI gates and custom inference endpoints. Use when working with profiles/examples, profiles/local, atomics qa --profile, soak --profile, stress --profile, scenario profile workloads, HTTP target profiles, Ollama target profiles, response parsing, or classification rules.