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/tarunag10/ai-switchboard/agents-mdgit clone --depth 1 https://github.com/tarunag10/ai-switchboardWrote 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/tarunag10/ai-switchboard/agents-md)<a href="https://agentmods.dev/instructions/tarunag10/ai-switchboard/agents-md"><img src="https://agentmods.dev/badge/instructions/tarunag10/ai-switchboard/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 | $0.00428 | $0.00428 |
| Opus 5 | $0.00214 | $0.00214 |
| Sonnet 5 | $0.00086 | $0.00086 |
| Haiku 4.5 | $0.00043 | $0.00043 |
Grade C, and why
ai-switchboard AGENTS.md scanned grade C 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 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- headroom:rtk-instructions --> What it actually says
RTK (Rust Token Killer) - Token-Optimized Commands
When running shell commands, always prefix with rtk. This reduces context
usage by 60-90% with zero behavior change. If rtk has no filter for a command,
it passes through unchanged — so it is always safe to use.
Key Commands
# Git (59-80% savings)
rtk git status rtk git diff rtk git log
# Files & Search (60-75% savings)
rtk ls <path> rtk read <file> rtk grep <pattern>
rtk find <pattern> rtk diff <file>
# Test (90-99% savings) — shows failures only
rtk pytest tests/ rtk cargo test rtk test <cmd>
# Build & Lint (80-90% savings) — shows errors only
rtk tsc rtk lint rtk cargo build
rtk prettier --check rtk mypy rtk ruff check
# Analysis (70-90% savings)
rtk err <cmd> rtk log <file> rtk json <file>
rtk summary <cmd> rtk deps rtk env
# GitHub (26-87% savings)
rtk gh pr view <n> rtk gh run list rtk gh issue list
# Infrastructure (85% savings)
rtk docker ps rtk kubectl get rtk docker logs <c>
# Package managers (70-90% savings)
rtk pip list rtk pnpm install rtk npm run <script>
Rules
- In command chains, prefix each segment:
rtk git add . && rtk git commit -m "msg" - For debugging, use raw command without rtk prefix
rtk proxy <cmd>runs command without filtering but tracks usage
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 · 43 lines · 428 tokens per session scan C d321ef8092ae
ai-switchboard AGENTS.md is an instructions file published in the GitHub repository tarunag10/ai-switchboard (2 stars, last pushed 11d ago), licensed MIT. It adds 428 tokens to every session, about $0.0021 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
personal-model AGENTS.md
Instructions for Intuition-Lab/personal-model, covering agents.md, runtime boundary, commands, pipeline and documentation map.
humla CLAUDE.md
Claude Code instructions for michaelwilhelmsen/humla, covering humla — project notes, what this app is, core capabilities, architecture overview and data flow during a recording.
os-clovy AGENTS.md
AGENTS.md instructions for open-software-network/os-clovy, covering clovy — agent instructions, project, os platform (shared brain), structure and domain & decisions — read before writing code.
humla AGENTS.md
AGENTS.md instructions for michaelwilhelmsen/humla, covering humla — project notes, what this app is, core capabilities, architecture overview and data flow during a recording.
personal-model CLAUDE.md
Instructions for Intuition-Lab/personal-model: Read and follow AGENTS.md. It is the single agent orientation for this repository: Runtime boundary, commands, architecture, invariants, current documentation, privacy rules, and DCO workflow.
Starcat AGENTS.md
AGENTS.md instructions for starcat-app/Starcat, covering agents.md, 🚨 硬性铁律(每次写代码前必读,违反即返工), 🌿 git 分支与 worktree(强制), 🧭 主进度索引(每次开工前必读) and 状态符号(与功能实现总览.md 同步).