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 ma-compbio-lab/SkillFoundry --skill metabolights-study-searchgit clone --depth 1 https://github.com/ma-compbio-lab/SkillFoundryWrote 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/ma-compbio-lab/skillfoundry/metabolights-study-search)<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/metabolights-study-search"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/metabolights-study-search/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/ma-compbio-lab/skillfoundry/metabolights-study-search"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/metabolights-study-search.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 | $0.00030 | $0.00209 |
| Opus 5 | $0.00015 | $0.00105 |
| Sonnet 5 | $0.00006 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
metabolights-study-search 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 5d 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
Purpose
Search public metabolomics studies through the official MetaboLights API and summarize matched study metadata.
When to use
- You need a lightweight metabolomics dataset-discovery starter.
- You want study accessions, titles, factors, and release metadata without manually browsing the portal.
When not to use
- You need full ISA parsing for every assay, source, and sample table.
- You need raw metabolomics files or downstream analysis workflows.
Inputs
- A free-text study query such as
diabetes. - Small page and row limits.
Outputs
- A JSON summary with study accessions and compact metadata.
Requirements
- Network access to
ebi.ac.uk - Python standard library only
Provenance
- MetaboLights API Swagger UI: https://www.ebi.ac.uk/metabolights/ws/api/spec.html
What ships with it
7 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.
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.
- 5d ago First seen · 30 lines · 30 tokens per session scan A dd86e0af367f
metabolights-study-search is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (38 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 209 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 2026-09-03.
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