Borrowing it
Nothing to install: this file belongs to omar-A-hassan/medsci-agent. 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/omar-A-hassan/medsci-agent/main/.opencode/skills/biopython/SKILL.mdgit clone --depth 1 https://github.com/omar-A-hassan/medsci-agentWrote 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/omar-a-hassan/medsci-agent/biopython)<a href="https://agentmods.dev/skills/omar-a-hassan/medsci-agent/biopython"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/biopython.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 | $0.00021 | $0.00270 |
| Opus 5 | $0.00010 | $0.00135 |
| Sonnet 5 | $0.00004 | $0.00054 |
| Haiku 4.5 | $0.00002 | $0.00027 |
Grade A, and why
biopython 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.
What it actually says
BioPython — Molecular Biology Toolkit
When to Use
- Parsing FASTA sequence files
- Analyzing protein or nucleotide sequences
- Computing sequence composition and molecular weight
- Translating DNA to protein
- Working with sequence alignments
Available Tools
parse_fasta(path)— Read FASTA file, return sequence metadataanalyze_sequence(sequence, seq_type)— Composition, MW, statsanalyze_sequence(sequence, seq_type="DNA", translate=true)— Translate DNA→protein
Amino Acid Properties
- Hydrophobic: A, V, L, I, M, F, W, P
- Polar: S, T, N, Q, Y, C
- Positive: K, R, H
- Negative: D, E
- Special: G (flexible), P (rigid)
Common Sequence Analysis Tasks
- Check sequence length and composition
- Identify signal peptides (N-terminal Met + hydrophobic stretch)
- Find potential glycosylation sites (N-X-S/T)
- Calculate theoretical pI and MW
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 · 32 lines · 21 tokens per session scan A 5b9e37333c99
biopython is a skill published in the GitHub repository omar-A-hassan/medsci-agent (18 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 270 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 2026-08-30.
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