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/scorbo2/talkwithme/agents-mdgit clone --depth 1 https://github.com/scorbo2/TalkWithMeWrote 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/scorbo2/talkwithme/agents-md)<a href="https://agentmods.dev/instructions/scorbo2/talkwithme/agents-md"><img src="https://agentmods.dev/badge/instructions/scorbo2/talkwithme/agents-md.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 | $0.04930 | $0.04930 |
| Opus 5 | $0.02465 | $0.02465 |
| Sonnet 5 | $0.00986 | $0.00986 |
| Haiku 4.5 | $0.00493 | $0.00493 |
Grade A, and why
TalkWithMe 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 4d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TalkWithMe — Agent Instructions
Run the app
pip install -r requirements.txt
uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
Requires a locally running llama.cpp server with an OpenAI-compatible API. TTS and STT servers are optional.
Open http://localhost:8000 in a browser.
Testing — pytest, fully offline
pip install -r requirements-dev.txt
python3 -m pytest # from the project root; config in pytest.ini
- No servers needed. The suite is hermetic: every external HTTP endpoint (LLM, TTS, STT, MCP) is faked via
tests/factories.py(fakehttpx.AsyncClients, config factories, SSE helpers). It must run — and pass — with nothing but Python installed. - Isolation:
tests/conftest.pyhas an autouse fixture that points every module-level global at per-testtmp_pathstate: the config caches inapp/config.py,_PERSISTENCE_ROOT(in bothapp/persistence.pyandapp/routers/persistence.py— the router imported it by value, so it needs its own patch), thesessionsingleton, and the MCP tool registry. Realsettings.yaml/personas.yaml/chatrooms.yaml/chatrooms/data is never read or written. If you add a new module-level global to the app, add it to that fixture. - Lifespan: the
clientfixture usesTestClientwithout the startup lifespan, because the lifespan re-reads the real YAML files (clobbering test caches) and attempts MCP discovery. Tests that exercise the lifespan do so explicitly with a localTestClientin awithblock and monkeypatchedload_*/load_tools(seetests/test_main.py). - Coverage map:
test_config.py(config models + YAML load/save),test_models.py(API request/response models),test_persistence.py(disk persistence + audio staging),test_session_manager.py,test_llm.py(SSE parsing + agentic tool loop),test_mcp_client.py,test_tool_registry.py,test_tts_stt_clients.py,test_chat_sse.py(the/api/chatSSE endpoint — LLM stubbed, selection/persistence/echo/tool events for real),test_main.py,test_docs.py(the AGENTS.md API endpoints table must match the routes actually registered on the app — run it after adding/removing endpoints and update the table), and onetest_routers_*.pyper API router. - Rules:
- Every code change must be followed by a clean run:
python3 -m pytest, all green. No exceptions, no skipped tests. - New functionality or API endpoints require new tests in the matching
test_*.pyfile before the change is complete. - API tests use the
clientfixture + config caches (re-pointapp.config._settings_cache/_personas_cache/_chatrooms_cacheviamonkeypatch); router-level stubs are applied at the router's import site (e.g.app.routers.chat.stream_chat), since routers import service functions by name. httpxversion pin matters: with httpx 0.24,response.url/raise_for_status()raiseRuntimeErrorif norequestis attached to aResponse, and the.requestgetter itself raises when unset (checkresponse._requestinstead). All fake responses intests/factories.pyattach a request for this reason.
- Every code change must be followed by a clean run:
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.
- 4d ago First seen · 163 lines · 4,930 tokens per session scan A 6587f0bee30b
TalkWithMe AGENTS.md is an instructions file published in the GitHub repository scorbo2/TalkWithMe (144 stars, last pushed 2d ago), licensed MIT. It adds 4,930 tokens to every session, about $0.0247 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 2026-08-30.
Other instructions, from other repositories
wyoming_openai AGENTS.md
Instructions for roryeckel/wyoming_openai, covering agents.md, project overview, development commands, testing and install development dependencies.
wyoming_openai CLAUDE.md
Instructions for roryeckel/wyoming_openai, a project described as: OpenAI-Compatible Proxy Middleware for the Wyoming Protocol.
talky-talky CLAUDE.md
Claude Code instructions for shawnrushefsky/talky-talky, covering talky talky - development guide, quick reference, project overview, architecture and technology stack.
LocalAI AGENTS.md
AGENTS.md instructions for mudler/LocalAI, covering localai agent instructions, policy for ai-assisted contributions, topics and quick reference.
Kokoro-FastAPI AGENTS.md
AGENTS.md instructions for remsky/Kokoro-FastAPI, covering agents.md, layout, commands, conventions and gotchas.
VoiceStudio CLAUDE.md
Claude Code instructions for debpalash/VoiceStudio, covering project, constraints, technology stack, conventions and architecture.