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/toadoum/ai-research-skill/agents-mdgit clone --depth 1 https://github.com/Toadoum/ai-research-skillWrote 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/toadoum/ai-research-skill/agents-md)<a href="https://agentmods.dev/instructions/toadoum/ai-research-skill/agents-md"><img src="https://agentmods.dev/badge/instructions/toadoum/ai-research-skill/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 | $0.00224 | $0.00224 |
| Opus 5 | $0.00112 | $0.00112 |
| Sonnet 5 | $0.00045 | $0.00045 |
| Haiku 4.5 | $0.00022 | $0.00022 |
Grade A, and why
ai-research-skill 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
AGENTS.md
This repository is an AI research skill. The source of truth is
SKILL.md.
If you are an agent that reads AGENTS.md (e.g. Codex, or OpenClaw's injected
prompt path):
- Before any AI/ML research task, read
SKILL.mdand follow it. - First action of every research task: read
LESSONS.md— the accumulated record of past mistakes and the rules that came from them. Don't repeat them. - Whenever you make and fix a mistake during the task, append a lesson via
python scripts/log_lesson.py(see the self-improvement section ofSKILL.md). This is what makes the skill improve over time.
Keep SKILL.md as the single place you edit behavior. This file is only a
pointer so that AGENTS.md-based agents land in the same place Claude and OpenClaw
skill-loaders do.
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 · 20 lines · 224 tokens per session scan A 5b2dfdc0b004
ai-research-skill AGENTS.md is an instructions file published in the GitHub repository Toadoum/ai-research-skill (11 stars, last pushed 2mo ago), licensed MIT. It adds 224 tokens to every session, about $0.0011 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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