{"audit":{"version":"1.3","generated_at":"2026-05-23T04:42:09.655310+00:00","generated_by":"Agenstry","report_url":"https://agenstry.com/agents/asiai.dev","methodology_url":"https://agenstry.com/methodology","verifier_jwks_url":"https://agenstry.com/.well-known/jwks.json","subject":{"domain":"asiai.dev","name":"asiai","url":"https://asiai.dev/.well-known/agent-card.json"}},"identity":{"provider":{"organization":"asiai (Jean-Marc Nahlovsky / druide67)","url":"https://asiai.dev"},"registry_verification":null,"signature":{"signed":false,"signature_valid":null}},"protocol":{"version":null,"supports_streaming":true,"supports_push_notifications":false},"operational":{"live_state":"wrong_response","live_responds":false,"last_status_code":200,"last_elapsed_ms":144,"last_error":null},"track_record":{"first_seen":"2026-05-23T01:44:52.091796+00:00","last_checked":"2026-05-23T01:44:52.091796+00:00","last_seen_ok":"2026-05-23T01:44:52.091796+00:00","checks_total":1,"checks_ok":1,"uptime_pct":100.0,"archived":false,"archived_reason":null},"conformance":{"score":34,"grade":"F","summary":"F-grade: card is reachable but fails most operational signals.","criteria":[{"key":"valid_card","label":"Valid AgentCard","points":10,"max_points":10,"status":"pass","detail":"Schema-validated A2A AgentCard returned by the well-known endpoint."},{"key":"live_responds","label":"Live JSON-RPC","points":5,"max_points":25,"status":"fail","detail":"Endpoint replies but body isn't a valid JSON-RPC 2.0 A2A response."},{"key":"protocol_version","label":"Protocol version","points":0,"max_points":10,"status":"fail","detail":"No protocolVersion in card."},{"key":"signature","label":"JWS signature","points":0,"max_points":10,"status":"info","detail":"Card is unsigned (most published agents are)."},{"key":"uptime","label":"Uptime track record","points":0,"max_points":15,"status":"info","detail":"Only 1 probe so far — need ≥5 for an uptime grade."},{"key":"skills","label":"Skill declaration","points":10,"max_points":10,"status":"pass","detail":"Declares 8 skills with structured metadata."},{"key":"verified_identity","label":"Verified Identity","points":5,"max_points":10,"status":"partial","detail":"Provider declared: asiai (Jean-Marc Nahlovsky / druide67) (https://asiai.dev). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit."},{"key":"freshness","label":"Freshness + modern flags","points":4,"max_points":5,"status":"pass","detail":"seen in upstream source within 0d"},{"key":"security","label":"Security declaration","points":0,"max_points":5,"status":"info","detail":"No securitySchemes declared (common for open agents — not penalised)."}]},"skills":[{"id":"check-inference-health","name":"Check Inference Health","description":"Quick health check of all local LLM inference engines. Returns ok/degraded/error, memory pressure, thermal state, GPU. Responds in <500ms.","tags":["health","monitoring","apple-silicon"],"examples":["Is local LLM inference available right now?"],"inputModes":[],"outputModes":[]},{"id":"list-models","name":"List Loaded Models","description":"List all models currently loaded across inference engines (VRAM, quantization, context length).","tags":["models","inventory","inference"],"examples":["What models are loaded right now?"],"inputModes":[],"outputModes":[]},{"id":"detect-engines","name":"Detect Inference Engines","description":"Auto-detect running LLM inference engines (Ollama, LM Studio, mlx-lm, llama.cpp, vLLM-MLX, Exo, TurboQuant).","tags":["discovery","engines","apple-silicon"],"examples":["Which inference engines are installed on this Mac?"],"inputModes":[],"outputModes":[]},{"id":"run-benchmark","name":"Run Inference Benchmark","description":"Benchmark a local model's performance (tok/s, TTFT, VRAM, power) with statistical rigour (CI 95%, P50/P90/P99). Supports multi-engine and cross-model comparison.","tags":["benchmark","performance","inference"],"examples":["Benchmark Qwen 3.6 on Ollama NVFP4","Compare Qwen 3.5 vs 3.6 on this Mac"],"inputModes":[],"outputModes":[]},{"id":"recommend-engine","name":"Recommend Engine and Model","description":"Hardware-aware engine+model recommendations optimized for throughput, latency, or power efficiency.","tags":["recommendation","hardware","inference"],"examples":["What's the fastest engine for my Mac?","Which model fits my RAM?"],"inputModes":[],"outputModes":[]},{"id":"compare-engines","name":"Compare Engines","description":"Side-by-side comparison of inference engines or models from benchmark history.","tags":["comparison","benchmark","analysis"],"examples":["Compare Ollama MLX vs LM Studio for Qwen 3.6"],"inputModes":[],"outputModes":[]},{"id":"get-inference-snapshot","name":"Full Inference Snapshot","description":"Complete system + inference state: CPU load, memory, thermal, GPU, engines status, loaded models, recent activity.","tags":["snapshot","monitoring","system"],"examples":["Give me a full status report of local inference"],"inputModes":[],"outputModes":[]},{"id":"diagnose","name":"Run Diagnostics","description":"Comprehensive diagnostic checks: Apple Silicon compat, engines health, DB integrity, daemon status, alerting config.","tags":["diagnostics","troubleshooting"],"examples":["Diagnose why inference is failing"],"inputModes":[],"outputModes":[]}],"provenance":[{"source":"manifests","first_seen":"2026-05-23T01:44:52.091796+00:00"}],"recent_probes":[{"fetched_at":"2026-05-23T01:44:52.091796+00:00","ok":true,"status_code":200,"error":null,"elapsed_ms":144,"live_responds":false}],"catalog_attestation":null,"verification_history":[]}