Borrowing it
Nothing to install: this file belongs to bigbio/sdrf-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bigbio/sdrf-skills/main/GEMINI.mdgit clone --depth 1 https://github.com/bigbio/sdrf-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/instructions/bigbio/sdrf-skills/gemini-md)<a href="https://agentmods.dev/instructions/bigbio/sdrf-skills/gemini-md"><img src="https://agentmods.dev/badge/instructions/bigbio/sdrf-skills/gemini-md.svg" alt="Measured on agentmods" 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 | $0.00987 | $0.00987 |
| Opus 5 | $0.00494 | $0.00494 |
| Sonnet 5 | $0.00197 | $0.00197 |
| Haiku 4.5 | $0.00099 | $0.00099 |
Grade A, and why
sdrf-skills GEMINI.md 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
sdrf-skills — SDRF Annotation Skills
Structured workflows for expert-level SDRF (Sample and Data Relationship Format) annotation in proteomics.
Available Workflows
The skills/ directory contains 20 workflow files (SKILL.md) that encode community
annotation expertise. When working with SDRF files, consult the relevant skill:
- Setup:
skills/sdrf-setup/SKILL.md— install parse_sdrf, techsdrf (conda or pip) - Screen:
skills/sdrf-metascreen/SKILL.md— shortlist PRIDE/MassIVE/ProteomeXchange studies against user criteria → evidence-backed TSV - Autoresearch:
skills/sdrf-autoresearch/SKILL.md— autonomous retained-improvement loop over a dataset, manifest, or dataset class - Format rules:
skills/sdrf-knowledge/SKILL.md— column naming, ontology mappings, modification format - Templates:
skills/sdrf-templates/SKILL.md— 5-layer template system, selection rules - Annotation:
skills/sdrf-annotate/SKILL.md— full PXD → SDRF workflow - Validation:
skills/sdrf-validate/SKILL.md— template + ontology checking - Quality:
skills/sdrf-review/SKILL.md— review + 5-dimension quality scoring and improvement suggestions - Fixes:
skills/sdrf-fix/SKILL.md— auto-fix common errors - Terms:
skills/sdrf-knowledge/SKILL.md— ontology term lookup (reference + OLS) - Planning:
skills/sdrf-annotate/SKILL.md— pre-annotation metadata strategy - Review:
skills/sdrf-review/SKILL.md— cross-reference with publications - Adversarial review:
skills/sdrf-adversarial-review/SKILL.md— isolated evidence-first review with hash-bound approval - Reviewed annotation:
skills/sdrf-annotate-reviewed/SKILL.md— producer/reviewer loop with mandatory re-review - Education:
skills/sdrf-knowledge/SKILL.md— SDRF reference + plain-language explanations - Pipelines:
skills/sdrf-convert/SKILL.md— pipeline configuration - Design:
skills/sdrf-design/SKILL.md— experimental design analysis - Contribute:
skills/sdrf-contribute/SKILL.md— PR to community repository - Tech Refine:
skills/sdrf-techrefine/SKILL.md— verify/refine technical metadata from raw files via techsdrf - Cell line:
skills/sdrf-cellline/SKILL.md— translate Cellosaurus records into SDRF cell-line columns (organism, disease, sex, sampling site, ancestry, age)
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.
- 7d ago First seen · 51 lines · 987 tokens per session scan A 98ea3054249f
sdrf-skills GEMINI.md is an instructions file published in the GitHub repository bigbio/sdrf-skills (16 stars, last pushed yesterday), licensed MIT. It adds 987 tokens to every session, about $0.0049 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 2026-08-30.
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