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 skills add khaosans/operator-etl --skill operator-ship-awsgit clone --depth 1 https://github.com/khaosans/operator-etlWrote 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/skills/khaosans/operator-etl/operator-ship-aws)<a href="https://agentmods.dev/skills/khaosans/operator-etl/operator-ship-aws"><img src="https://agentmods.dev/badge/skills/khaosans/operator-etl/operator-ship-aws/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/khaosans/operator-etl/operator-ship-aws"><img src="https://agentmods.dev/badge/skills/khaosans/operator-etl/operator-ship-aws.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00044 | $0.00268 |
| Opus 5 | $0.00022 | $0.00134 |
| Sonnet 5 | $0.00009 | $0.00054 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
operator-ship-aws 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
Ship Operator ETL to AWS
Load: deploy-aws-staging.md and infra/aws/README.md
Prerequisites
- Local MVP green:
./scripts/verify.sh - AWS account + credentials; Terraform >= 1.5
Terraform
cd infra/aws
cp terraform.tfvars.example terraform.tfvars
terraform init && terraform apply
Image
docker build --build-arg CLOUD_EXTRA=aws -t operator-etl:aws .
Non-negotiables
- Set real
pii_vault_key/openai_api_key(noREPLACE_ME*) - Keep
OPERATOR_ETL_INSIGHT_BACKEND=templateuntil the OpenAI secret is real - Never auto-publish FOIA releases
- Portable skill: operator-ship-portable
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 · 37 lines · 44 tokens per session scan A 033e2a6f9345
operator-ship-aws is a skill published in the GitHub repository khaosans/operator-etl (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 44 tokens to every session and 268 once invoked, about $0.0002 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 2026-09-04.
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