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/saketananddotme/ai-dev-toolkit/agents-mdgit clone --depth 1 https://github.com/saketananddotme/ai-dev-toolkitWrote 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/saketananddotme/ai-dev-toolkit/agents-md)<a href="https://agentmods.dev/instructions/saketananddotme/ai-dev-toolkit/agents-md"><img src="https://agentmods.dev/badge/instructions/saketananddotme/ai-dev-toolkit/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 | $0.00194 | $0.00194 |
| Opus 5 | $0.00097 | $0.00097 |
| Sonnet 5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00019 | $0.00019 |
Grade A, and why
ai-dev-toolkit 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 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.
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
Agent Guidelines
Project context
This is a single-file CLI tool (bin/adt.js, ~1400 lines, zero dependencies). All logic lives there. Do not split it into multiple files unless explicitly asked.
Before making changes
- Read
bin/adt.jsfrom the relevant section; don't rewrite unrelated areas - The harness directory mappings are at the top — update both
globalHarnessDirs()andprojectHarnessDirs()if adding a new harness
Testing
There is no automated test suite. Verify changes manually:
node bin/adt.js --help
node bin/adt.js <command> --dry-run # where supported
What not to do
- Do not add npm dependencies
- Do not split
bin/adt.jsinto modules - Do not add a build step
- Do not modify
catalog.jsonwithout being asked — it maps source aliases to git URLs
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 · 27 lines · 194 tokens per session scan A 845d90450992
ai-dev-toolkit AGENTS.md is an instructions file published in the GitHub repository saketananddotme/ai-dev-toolkit (14 stars, last pushed 2mo ago), licensed MIT. It adds 194 tokens to every session, about $0.0010 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 2026-08-30.
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