Borrowing it
Nothing to install: this file belongs to mgood/tuisage. 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/mgood/tuisage/main/AGENTS.mdgit clone --depth 1 https://github.com/mgood/tuisageWrote 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/mgood/tuisage/agents-md)<a href="https://agentmods.dev/instructions/mgood/tuisage/agents-md"><img src="https://agentmods.dev/badge/instructions/mgood/tuisage/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/mgood/tuisage/agents-md"><img src="https://agentmods.dev/badge/instructions/mgood/tuisage/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 | $0.01405 | $0.01405 |
| Opus 5.5 | $0.00562 | $0.00562 |
| Sonnet 5.5 | $0.00281 | $0.00281 |
| Haiku 4.5 | $0.00140 | $0.00140 |
Grade A, and why
tuisage 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Development Guidelines
This file contains instructions for AI agents (and developers) working on TuiSage. It defines the development process, coding standards, testing philosophy, and workflow conventions.
Project Context
TuiSage is a terminal UI for interactively building CLI commands from usage specs. It reads .usage.kdl files and presents an interactive interface for browsing subcommands, toggling flags, filling in arguments, and producing a complete command string.
Refer to these documents for increasing levels of detail:
- REQUIREMENTS.md — what the application should do (goals, features, user stories)
- SPECIFICATION.md — how features should behave (UI layout, interactions, data flow)
- IMPLEMENTATION.md — how it's built (architecture, code structure, current state)
- README.md — user-facing guide (installation, usage, keyboard shortcuts)
Development Process
- Commit frequently to git — Make commits after completing logical units of work (e.g., after fixing a bug, adding a feature, updating documentation). This provides a history trail to track the evolution of the project.
- Before starting a new feature or fix, review the current state of the codebase and relevant documentation.
- After completing work, update the living documentation (REQUIREMENTS.md, SPECIFICATION.md, IMPLEMENTATION.md, README.md) to reflect changes.
- Start by producing or updating a plan before diving into implementation. Think through the approach, edge cases, and testing strategy.
- Work in git branches for experimental features, but commit directly to main for incremental improvements and fixes.
Testing Philosophy
Development follows a testing-focused process. Tests are an integral part of every change.
Test-First When Possible
- When fixing a bug, write a test that reproduces the issue first, then update the code to pass the test.
- When adding a feature, write tests that define the expected behavior, then implement to satisfy them.
- Tests may also be used to inspect current behavior before making modifications.
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 · 129 lines · 1,405 tokens per session scan A 4280d673d3f1
tuisage AGENTS.md is an instructions file published in the GitHub repository mgood/tuisage (100 stars, last pushed 1mo ago), licensed MIT. It adds 1,405 tokens to every session, about $0.0056 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.
tuisage AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tuisage AGENTS.mdmgood/tuisage | Instructions file | 100 | 1mo ago | MIT | A | 1,405 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |