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-gcpgit 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-gcp)<a href="https://agentmods.dev/skills/khaosans/operator-etl/operator-ship-gcp"><img src="https://agentmods.dev/badge/skills/khaosans/operator-etl/operator-ship-gcp/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-gcp"><img src="https://agentmods.dev/badge/skills/khaosans/operator-etl/operator-ship-gcp.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 | $0.00041 | $0.00391 |
| Opus 5 | $0.00020 | $0.00196 |
| Sonnet 5 | $0.00008 | $0.00078 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
operator-ship-gcp 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 6d 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 GCP
Load: deploy-gcp-staging.md and infra/README.md
Prerequisites
- Local MVP green:
./harness/e2e.sh - GCP project + APIs enabled
Terraform
cd infra/gcp
cp terraform.tfvars.example terraform.tfvars
terraform init && terraform apply
Build + deploy
gcloud builds submit --config cloudbuild.yaml
Env vars
Copy infra/env.example — set OPERATOR_ETL_BACKEND=bigquery, datasets, checkpoint URL. Optional LLM: docs/LLM.md (OPERATOR_ETL_INSIGHT_BACKEND stays template until the OpenAI secret is real).
Full stack only
This skill is the GCP reference IaC path. For Docker + portable env on AWS/Azure/K8s without GCP Terraform, use operator-ship-portable.
Non-negotiables
- Set
pii_vault_keyandopenai_api_keyinterraform.tfvars(sensitive variables with validation — placeholders are rejected). How-to: docs/SECURITY-HARDENING.md - MCP service account: gold dataset read only (see Terraform IAM)
- Never skip local e2e before promote
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.
- 6d ago Changed · +4 lines 90d65e045271
- 9d ago First seen · 40 lines · 41 tokens per session scan A ef8b33d64eb1
operator-ship-gcp is a skill published in the GitHub repository khaosans/operator-etl (0 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 391 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 2026-08-31.
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