Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/sandraschi/speech-mcp/copilot-instructionsgit clone --depth 1 https://github.com/sandraschi/speech-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/speech-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/sandraschi/speech-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/sandraschi/speech-mcp/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00258 | $0.00258 |
| Opus 5 | $0.00129 | $0.00129 |
| Sonnet 5 | $0.00052 | $0.00052 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
speech-mcp copilot-instructions.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 3d 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.
What it actually says
GitHub Copilot Instructions — speech-mcp
- Python:
uv run ruff check src/ --fixbefore commit; line length 120. - Type hints:
Annotated[T, Field(description="...")]— noArgs:blocks. - Tools return
{"success": bool, ...}dicts; list/status tools use Prefab UI (@mcp.tool(app=True)). - Never call
os.getenv()outsideserver.py; never block the event loop. - Frontend: React + Vite + Tailwind (dark theme only), Biome for lint/format.
- Tests:
uv run pytest tests/ -m "not live".
Session Context (Speech MCP)
You have access to the fleet voice gateway: TTS (windows/gemini/hume/elevenlabs/gemma), local STT (FunASR), offline wake word, RAG over speech docs, and a Voice Command Bus into fleet-agent.
Before starting work:
- Check provider availability: fleet_health_overview()
- Find speech docs: search_docs(query="FunASR or wake word")
At end of work, save insights:
- Ingest useful speech findings into the RAG knowledge base
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.
- 3d ago First seen · 22 lines · 258 tokens per session scan A d650d544ac05
speech-mcp copilot-instructions.md is an instructions file published in the GitHub repository sandraschi/speech-mcp (2 stars, last pushed 15d ago), licensed MIT. It adds 258 tokens to every session, about $0.0013 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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