AC aigate
Self-hosted AI platform — one `docker-compose up`, one OpenAI-compatible endpoint at http://localhost:4000. Bundles inference (Groq/Cerebras/OpenRouter/HuggingFace/Mistral/Cohere/Ollama/vLLM/llama.cpp/claudebox/pibox-zai/Anthropic/OpenAI), MCP tool use, a stealth browser cluster, image generation (FLUX/DALL-E/SD), speech synthesis (Kokoro/Qwen3-TTS/Chatterbox/OpenAI TTS), transcription (Whisper/Parakeet), S3-compatible object storage, agentic code execution (Claude Code + pi-coding-agent + sandboxed piston), web search (SearXNG), an email gateway (mailbox), a Telegram client (Telethon), time-series forecasting + tabular ML (predictalot), audio/video production (audiolla/flickies), an async job queue (proxq), and a web UI (LibreChat) — all reachable through one bearer token and automatic per-model fallback routing. Use when the user wants a one-command self-hosted OpenAI-compatible stack that aggregates many providers/tools behind a single endpoint instead of wiring each service up individually.
Self-hosted AI platform — one docker-compose up, one OpenAI-compatible endpoint at http://localhost:4000.
As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "permissions"
Process rating: all ten parameters 54/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 3 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 85Steps. 31 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2349 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1009: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +4Structure: 8 headings
- +3Step-by-step instructions: 31 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.