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 commands/aws/agent-toolkit-for-aws/chatgit clone --depth 1 https://github.com/aws/agent-toolkit-for-awsWhat 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 | $0.00014 | $0.00156 |
| Opus 5 | $0.00007 | $0.00078 |
| Sonnet 5 | $0.00003 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
chat scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Use the chatting-with-aws-devops-agent skill workflow.
- Gather any obviously relevant local context (IaC, dependency manifest, recent git commits) and inject it alongside the question.
- Call
aws_devops_agent__chat(message="[Local Context]\n<context>\n\n[Question]\n$ARGUMENTS"). - Show the response to the user.
- If the user wants follow-ups, use
aws_devops_agent__send_message(execution_id="<from chat response>", content="<follow-up>").
If $ARGUMENTS is empty, prompt the user for a question first.
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.
- 3d ago First seen · 14 lines · 14 tokens per session scan A a95572e942c5
chat is a command published in the GitHub repository aws/agent-toolkit-for-aws (2,498 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 156 once invoked, about $0.0001 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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