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/aws-samples/sample-ai-assistant-on-agentcore/agents-mdgit clone --depth 1 https://github.com/aws-samples/sample-ai-assistant-on-agentcoreWrote 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/aws-samples/sample-ai-assistant-on-agentcore/agents-md)<a href="https://agentmods.dev/instructions/aws-samples/sample-ai-assistant-on-agentcore/agents-md"><img src="https://agentmods.dev/badge/instructions/aws-samples/sample-ai-assistant-on-agentcore/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 | $0.03651 | $0.03651 |
| Opus 5 | $0.01826 | $0.01826 |
| Sonnet 5 | $0.00730 | $0.00730 |
| Haiku 4.5 | $0.00365 | $0.00365 |
Grade A, and why
sample-ai-assistant-on-agentcore 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.
The source is not reproduced here
Licensed MIT-0
The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 305 lines · 3,651 tokens per session scan A 680ef30f14af
sample-ai-assistant-on-agentcore AGENTS.md is an instructions file published in the GitHub repository aws-samples/sample-ai-assistant-on-agentcore (19 stars, last pushed 16d ago), licensed MIT-0. It adds 3,651 tokens to every session, about $0.0183 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.
Other instructions, from other repositories
LobsterAI AGENTS.md
AGENTS.md instructions for netease-youdao/LobsterAI, covering agents.md, instruction scope, project snapshot, cowork vs openclaw and commands.
orbit CLAUDE.md
Claude Code instructions for schmitech/orbit, covering claude.md, project overview, commands, setup and running the server.
hivekeep CLAUDE.md
Claude Code instructions for MarlBurroW/hivekeep, covering hivekeep, documentation map, tech stack, key conventions and naming.
hope-agent AGENTS.md
AGENTS.md instructions for shiwenwen/hope-agent, covering hope agent, 安全红线, 提交前检查（强制）, 分支与发布 and 设置约定.
opencode-chat-bridge AGENTS.md
Instructions for ominiverdi/opencode-chat-bridge: You are a helpful assistant in a chat interface.
golemcore-bot CLAUDE.md
Instructions for alexk-dev/golemcore-bot, covering claude.md — golemcore bot, build & test, modules, architecture and package structure.