StenoAI is a private desktop notepad and meeting notetaker that records conversations, summarizes them, and lets users query them with local AI models. It is intended for confidential meetings in government, defence, and executive settings on Windows and macOS.
Borrowing it
Nothing to install: this file belongs to stenolabs/stenoai. 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/stenolabs/stenoai/main/AGENTS.mdgit clone --depth 1 https://github.com/stenolabs/stenoaiWrote 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/stenolabs/stenoai/agents-md)<a href="https://agentmods.dev/instructions/stenolabs/stenoai/agents-md"><img src="https://agentmods.dev/badge/instructions/stenolabs/stenoai/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/stenolabs/stenoai/agents-md"><img src="https://agentmods.dev/badge/instructions/stenolabs/stenoai/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 | $0.00949 | $0.00949 |
| Opus 5.5 | $0.00380 | $0.00380 |
| Sonnet 5.5 | $0.00190 | $0.00190 |
| Haiku 4.5 | $0.00095 | $0.00095 |
Grade A, and why
stenoai 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 2mo 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for coding agents working in this repository.
CLAUDE.md at the repo root is the full guide: architecture, development commands, the e2e tiers, the release process, and the cross-platform rules.
Read it first and treat it as authoritative.
This file deliberately does not repeat it, so the two cannot drift.
The section below is different in kind.
Codex's GitHub code review reads ## Code Review Rules and applies it to pull requests, so it is written for a reviewer rather than for an implementer.
Code Review Rules
These are the failure modes that are non-obvious and expensive here. Each one states the invariant and the safe path. Report a finding only when the diff actually violates the invariant, and say which input or state produces the wrong result. If a change is clean, say nothing.
Bundled binaries with an API
Never invoke a bundled binary through subprocess/spawn for an operation that also has an HTTP or library API.
macOS SIP and the Electron hardened runtime strip DYLD_LIBRARY_PATH from child processes, so such a call works in development and fails only in the signed, shipped app.
Model operations go through the ollama Python package.
This rule is narrow: spawning the bundled stenoai CLI is the app's architecture, and ffmpeg and ollama serve have no library alternative, so none of those are findings.
Bare exit() in Python
Use sys.exit(), never bare exit().
exit is injected by site and is absent from a PyInstaller bundle, so the call raises only in the shipped app and never in development.
Ruff's default rule set does not catch this.
Platform parity
The app ships on macOS and Windows from shared code, and macOS is the signed, stable build that a Windows fix must never disturb.
Platform-specific behaviour must be gated on process.platform (JS) or sys.platform (Python), and platform-specific electron-builder options belong in the mac or win block rather than at the top level.
The same applies to stenoai.spec: an addition that is platform-specific must be conditional, while a genuinely cross-platform one is correct unconditional.
Flag an ungated change even when it is correct for the platform the author tested on.
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.
- 2mo ago First seen · 65 lines · 949 tokens per session scan A 315864895c9a
stenoai AGENTS.md is an instructions file published in the GitHub repository stenolabs/stenoai (1,350 stars, last pushed yesterday), licensed MIT. It adds 949 tokens to every session, about $0.0038 per session on Opus 5.5. 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
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.