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 skills/aws-samples/sample-agentic-chatbot-accelerator/agent-creatornpx skills add aws-samples/sample-agentic-chatbot-accelerator --skill agent-creatorgit clone --depth 1 https://github.com/aws-samples/sample-agentic-chatbot-acceleratorWhat 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 | $0.00097 | $0.03797 |
| Opus 5 | $0.00048 | $0.01899 |
| Sonnet 5 | $0.00019 | $0.00759 |
| Haiku 4.5 | $0.00010 | $0.00380 |
Grade A, and why
agent-creator 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.
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 ships with it
19 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/config-reviewer.md 4.1 KB
- references/architectures.md 4.6 KB
- references/config-schemas.md 8.4 KB
- references/custom-code.md 10 KB
- references/diagnosis.md 5.1 KB
- references/queries.md 8.0 KB
- references/registries.md 3.8 KB
- references/skill-authoring.md 7.2 KB
- references/update-semantics.md 3.4 KB
- scripts/discover_endpoint.py 9.7 KB runs code
- scripts/fetch_agent_config.py 5.2 KB runs code
- scripts/fetch_traces.py 14 KB runs code
- scripts/get_token.py 6.2 KB runs code
- scripts/gql.py 3.3 KB runs code
- scripts/list_building_blocks.py 4.2 KB runs code
- scripts/manage_skill.py 19 KB runs code
- scripts/requirements.txt 117 B
- scripts/submit_runtime.py 11 KB runs code
- scripts/validate_config.py 14 KB runs code
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 · 247 lines · 97 tokens per session scan A fcf0fc105a53
agent-creator is a skill published in the GitHub repository aws-samples/sample-agentic-chatbot-accelerator (22 stars, last pushed 26d ago), licensed MIT-0. It adds 97 tokens to every session and 3,797 once invoked, about $0.0005 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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