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/otterlyspacelabs/speekify/agents-mdgit clone --depth 1 https://github.com/OtterlySpaceLabs/speekifyWrote 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/otterlyspacelabs/speekify/agents-md)<a href="https://agentmods.dev/instructions/otterlyspacelabs/speekify/agents-md"><img src="https://agentmods.dev/badge/instructions/otterlyspacelabs/speekify/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 5.1 | $0.00218 | $0.00218 |
| Opus 5 | $0.00109 | $0.00109 |
| Sonnet 5 | $0.00044 | $0.00044 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
speekify 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 5d 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
AGENTS.md
Speekify is a Python 3.11+ CLI that converts inline text, piped stdin, or readable URL content into a local WAV file using Supertonic v3.
Use uv for local work. Core checks are uv sync --group dev, uv run pytest, and uv run ruff check ..
The installed command is speekify, wired by pyproject.toml to speekify.__main__:main.
More Guidance
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.
- 5d ago First seen · 18 lines · 218 tokens per session scan A 0ac3821d0213
speekify AGENTS.md is an instructions file published in the GitHub repository OtterlySpaceLabs/speekify (10 stars, last pushed 1mo ago), licensed MIT. It adds 218 tokens to every session, about $0.0011 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.
Other instructions, from other repositories
Kokoro-FastAPI AGENTS.md
AGENTS.md instructions for remsky/Kokoro-FastAPI, covering agents.md, layout, commands, conventions and gotchas.
metube AGENTS.md
AGENTS.md instructions for alexta69/metube, covering agent guidelines, project scope — read this before planning a feature, readme.md size constraint, tech stack and build & test commands.
wyoming_openai AGENTS.md
AGENTS.md instructions for roryeckel/wyoming_openai, covering agents.md, project overview, development commands, testing and install development dependencies.
yutu AGENTS.md
AGENTS.md instructions for eat-pray-ai/yutu, covering yutu, quick reference, directory index, documentation and conventions.
pronounce CLAUDE.md
Claude Code instructions for anzy-renlab-ai/pronounce, covering claude.md, what this repo ships, common commands and conventions when editing.
LocalAI CLAUDE.md
Claude Code instructions for mudler/LocalAI, a project described as: LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.