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 guorunjie/skillpack-forge --skill data-pipeline-demo-data-pipelinegit clone --depth 1 https://github.com/guorunjie/skillpack-forgeWrote 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/guorunjie/skillpack-forge/data-pipeline-demo-data-pipeline)<a href="https://agentmods.dev/skills/guorunjie/skillpack-forge/data-pipeline-demo-data-pipeline"><img src="https://agentmods.dev/badge/skills/guorunjie/skillpack-forge/data-pipeline-demo-data-pipeline/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/guorunjie/skillpack-forge/data-pipeline-demo-data-pipeline"><img src="https://agentmods.dev/badge/skills/guorunjie/skillpack-forge/data-pipeline-demo-data-pipeline.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 | $0.00020 | $0.00243 |
| Opus 5 | $0.00010 | $0.00121 |
| Sonnet 5 | $0.00004 | $0.00049 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
data-pipeline-demo-data-pipeline 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 11d 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
data-pipeline-demo-data-pipeline
Generated from skillpack.yaml by Skillpack Forge.
Project
Data pipeline workflows for extraction, validation, transformation, and reporting.
Workflow
- Locate source data, schema contracts, and expected output destinations
- Run validation first, such as npm run data:validate, before transforming data
- Run extraction or transformation on a small sample or dry run
- Compare row counts, null rates, key fields, and generated report artifacts
- Document assumptions, skipped checks, and any remaining data quality risk
Commands
- install:
npm install - test:
npm test - data:validate:
npm run data:validate - data:transform:
npm run data:transform - data:report:
npm run data:report
Principles
- Preserve raw inputs and keep derived outputs separate
- Validate schemas, row counts, checksums, and representative samples
- Run transformations on a narrow sample before full pipeline execution
- Record data assumptions, freshness, and known quality gaps
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.
- 11d ago First seen · 32 lines · 20 tokens per session scan A b097d54f7535
data-pipeline-demo-data-pipeline is a skill published in the GitHub repository guorunjie/skillpack-forge (1 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 243 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 2026-08-31.
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