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/spacesgit clone --depth 1 https://github.com/aws/agent-toolkit-for-awsWrote 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/commands/aws/agent-toolkit-for-aws/spaces)<a href="https://agentmods.dev/commands/aws/agent-toolkit-for-aws/spaces"><img src="https://agentmods.dev/badge/commands/aws/agent-toolkit-for-aws/spaces.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 | $0.00011 | $0.00215 |
| Opus 5 | $0.00005 | $0.00108 |
| Sonnet 5 | $0.00002 | $0.00043 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
spaces 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
- Call
aws_devops_agent__list_agent_spaces()— get all spaces accessible with current auth.- Bearer token auth: Returns only the single space the token is scoped to.
- SigV4 auth: Returns all spaces in the account.
- For each space, call
aws_devops_agent__list_associations(agent_space_id="SPACE_ID")to see attached AWS accounts. - For each space, probe its knowledge:
aws_devops_agent__chat(message="Summarize the AWS services and runbooks you have access to. One-paragraph answer.", agent_space_id="SPACE_ID"). - Print a table: name, agentSpaceId, attached account IDs, one-line capability summary.
- If more than one space exists and no routing guide in the workspace (e.g.
.claude/aws-agents-for-devsecops.md,AGENTS.md, or per-project notes), offer to write one.
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 · 12 lines · 11 tokens per session scan A 4ed0e2b785a7
spaces is a command published in the GitHub repository aws/agent-toolkit-for-aws (2,518 stars, last pushed today), licensed Apache-2.0. It adds 11 tokens to every session and 215 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.
Other commands, from other repositories
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Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.