Borrowing it
Nothing to install: this file belongs to sandraschi/midasheng-gen-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sandraschi/midasheng-gen-mcp/master/AGENTS.mdgit clone --depth 1 https://github.com/sandraschi/midasheng-gen-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/sandraschi/midasheng-gen-mcp/agents-md)<a href="https://agentmods.dev/instructions/sandraschi/midasheng-gen-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/midasheng-gen-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/sandraschi/midasheng-gen-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/midasheng-gen-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00692 | $0.00692 |
| Opus 5 | $0.00346 | $0.00346 |
| Sonnet 5 | $0.00138 | $0.00138 |
| Haiku 4.5 | $0.00069 | $0.00069 |
Grade A, and why
midasheng-gen-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md - midasheng-gen-mcp
Purpose
FastMCP 3.4 server wrapping MiDashengLM-Gen (Xiaomi Research): unified 16 kHz mixed audio scene generation (speech, music, SFX, ambience) from structured text captions. LLM-driven autoregressive flow matching with a Qwen3-1.7B backbone (2.9B params total). Apache-2.0, runs locally on CUDA.
Layout
src/midasheng_gen_mcp/
server.py FastMCP instance (shared), lifespan, FastAPI build
main.py Dual transport entry (stdio default, HTTP on MCP_PORT)
config.py Settings from MIDASHENG_* env vars
model_manager.py Lazy torch/transformers load, generate, state machine
jobs.py Async job runner + prompt builder
db.py SQLite scenes + jobs store (WAL)
samples.py Built-in example captions
audio.py WAV metadata + persistence helpers
logs.py Ring-buffer log store
mcp/tools/ audio_scene portmanteau, help, prefab cards
api/routes/ REST: health, dashboard, scenes, jobs, audio, tools,
skills, samples, logs, llm, model, capabilities
skills/midasheng-gen/SKILL.md
webapp/ React + Vite + Tailwind SOTA dashboard (port 11160)
tests/ 15 pytest tests (no torch required)
Key facts
- Ports: backend 11159 (REST + MCP /mcp), frontend 11160 (registered in WEBAPP_PORTS.md)
- The shared FastMCP instance lives in
server.py; tool modules importmcpfrom there (registration at import time - no import = no tool) uv sync --extra modelinstalls torch/transformers; without it the server runs but reportsnot_installedstate (declared, not fake)- Model checkpoint:
mispeech/midashenglm-genon Hugging Face (~6 GB), auto-download via start.ps1 or the download_model operation - Structured caption: <|caption|> <|asr|> <|speech|> <|sfx|> <|music|> <|env|> views; absent views become <|unknown|>
- MCP generate is synchronous; the webapp uses the async job API (POST /api/generate -> job id -> GET /api/jobs/{id})
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 63 lines · 692 tokens per session scan A fafe0a4f2215
midasheng-gen-mcp AGENTS.md is an instructions file published in the GitHub repository sandraschi/midasheng-gen-mcp (1 stars, last pushed 8d ago), licensed Apache-2.0. It adds 692 tokens to every session, about $0.0035 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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