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/ariestar/sivtr/agents-mdgit clone --depth 1 https://github.com/Ariestar/sivtrWrote 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/ariestar/sivtr/agents-md)<a href="https://agentmods.dev/instructions/ariestar/sivtr/agents-md"><img src="https://agentmods.dev/badge/instructions/ariestar/sivtr/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 | $0.03701 | $0.03701 |
| Opus 5 | $0.01851 | $0.01851 |
| Sonnet 5 | $0.00740 | $0.00740 |
| Haiku 4.5 | $0.00370 | $0.00370 |
Grade A, and why
sivtr AGENTS.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Never hit `api.github.com` with raw `curl` or `Invoke-RestMethod`: unauthenticated calls share a low anonymous rate limit and fail with HTTP 403. Route through `gh api` instead. How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Agent Instructions
This file is the single source of truth for AI coding assistants working on this project. Tool-specific instruction files, such as CLAUDE.md, should point here instead of duplicating these rules.
Keep this file limited to durable, cross-session guidance. Current progress, temporary state, and session scratch do not belong here.
Project
- Purpose:
- Stack:
- Package manager:
Commands
- Install:
- Dev:
- Test:
- Check:
Communication
- Use Simplified Chinese for user-facing explanations, questions, progress updates, and summaries.
- Keep code, identifiers, comments, logs, test names, and commit messages in English.
- Match the surrounding language when editing existing documentation.
Working Agreement
- Stay within the stated scope. Do not add, refactor, or improve unrelated functionality.
- Preserve unrelated working-tree changes and never discard user work.
- Follow the project's existing structure, conventions, and patterns.
- Adding, updating, or removing dependencies is allowed and encouraged when it benefits the project. Always propose the change first and wait for the user's explicit approval before applying it.
- If a request is ambiguous, risky, or has materially different approaches, explain the trade-offs and ask before changing files.
- If the safest path is clear and within scope, proceed and state any important assumption.
- Treat a request containing
dry-runas read-only. Explain what would be done without modifying files or configuration.
Engineering Principles
- Make the smallest precise change that solves the problem; avoid unrelated refactoring.
- Identify business invariants and express each invariant in one authoritative place.
- Centralize shared validation, configuration, authorization, caching, and API contracts.
- Do not use broad
try/catchblocks to swallow errors. - Do not hide failures behind silent fallbacks.
- Prefer readable business flow over fragmented helper methods.
- Do not split a cohesive workflow into many one-use private methods.
- Introduce abstractions only for real reuse, a clear reduction in complexity, or an excessively long method.
- Use the Unix toolchain integrated into the terminal when it is the best fit for the task.
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 · 196 lines · 3,701 tokens per session scan A 090f21a25345
sivtr AGENTS.md is an instructions file published in the GitHub repository Ariestar/sivtr (257 stars, last pushed today), licensed Apache-2.0. It adds 3,701 tokens to every session, about $0.0185 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
intelligent-terminal rust-wta.instructions.md
File-scoped conventions for the WTA Rust crate.
intelligent-terminal rust.instructions.md
Concise Rust coding conventions for this repository.
bifrost AGENTS.md
Instructions for bifrost-proxy/bifrost, covering bifrost 项目开发规则, 执行心法, 执行模式与完成定义, 任务模式判定 and 变更类型与验证路由(先判定,后执行).
org-mcp-server copilot-instructions.md
Copilot instructions for szaffarano/org-mcp-server, covering org-mcp-server, working effectively, bootstrap and build, development commands and validation.
org-mcp-server CLAUDE.md
Claude Code instructions for szaffarano/org-mcp-server, covering claude.md, project overview, development commands, just commands (available in nix devshell) and architecture.
swarm AGENTS.md
Instructions for penberg/swarm, covering agents and coding style.