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 Unknown-333/awesome-data-engineering-skills --skill terraform-for-data-infragit clone --depth 1 https://github.com/Unknown-333/awesome-data-engineering-skillsWrote 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/unknown-333/awesome-data-engineering-skills/terraform-for-data-infra)<a href="https://agentmods.dev/skills/unknown-333/awesome-data-engineering-skills/terraform-for-data-infra"><img src="https://agentmods.dev/badge/skills/unknown-333/awesome-data-engineering-skills/terraform-for-data-infra/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/unknown-333/awesome-data-engineering-skills/terraform-for-data-infra"><img src="https://agentmods.dev/badge/skills/unknown-333/awesome-data-engineering-skills/terraform-for-data-infra.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 | $0.00086 | $0.00745 |
| Opus 5 | $0.00043 | $0.00373 |
| Sonnet 5 | $0.00017 | $0.00149 |
| Haiku 4.5 | $0.00009 | $0.00075 |
Grade A, and why
terraform-for-data-infra 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 12d 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 12d ago First seen · 80 lines · 86 tokens per session scan A d7b5f9551315
terraform-for-data-infra is a skill published in the GitHub repository Unknown-333/awesome-data-engineering-skills (18 stars, last pushed 13d ago), with no licence file. It adds 86 tokens to every session and 745 once invoked, about $0.0004 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.
Other skills, from other repositories
airflow-state-store
Persists task and asset state across retries and DAG runs using Airflow 3.3's AIP-103 key/value stores (taskstatestore, assetstatestore) and the crash-safe ResumableJobMixin. Use when the user asks about task state store, checkpointing in tasks, persisting state across retries, job IDs surviving worker crashes…
configuring-airflow-language-sdks
Configures Airflow to run language SDK tasks (Java, Go, and future native SDKs) — register a coordinator, map a queue to it, ensure the runtime/artifact on workers, and tune coordinator options. Use when the user wants Airflow to route a queue to a native-language coordinator, asks about the [sdk]…
deploying-airflow
Deploys Airflow DAGs and projects. Use when deploying Airflow or answering anything about deployment - deploying DAGs/projects, pushing code, setting up CI/CD, deploying to production or deployment strategies for Airflow.
troubleshooting-astro-deployments
Troubleshoot Astronomer production deployments with Astro CLI. Use when investigating deployment issues, viewing production logs, analyzing failures, or managing deployment environment variables.
managing-astro-deployments
Manage Astronomer production deployments with Astro CLI. Use when the user wants to authenticate, switch workspaces, create/update/delete deployments, or deploy code to production.
awesome-azd-template-submit
Submit an azd template to the awesome-azd gallery. Use when asked to submit, add, or contribute a template to awesome-azd. Requires only a GitHub repository URL — all metadata (title, description, languages, frameworks, Azure services, IaC) is auto-detected by the submission pipeline.