bio-ortholog-inference

bio-ortholog-inference is a skill for Claude Code, Codex from BioTender-max/awesome-bio-agent-skills. It costs 141 tokens per session (4,908 once invoked), scanned A, original, no licence file.

A tool for retrieving pre-computed ortholog relationships from public databases. Orthologs are genes in different species that descended from the same ancestral gene.

In plain words
What is it for?
Use it to answer cross-species gene-matching questions and retrieve ortholog tables through public database APIs.
Why use it?
It avoids repeating an orthology analysis when trusted databases already provide the relevant relationship.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to answer cross-species gene-matching questions and retrieve ortholog tables through public database APIs.

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Install with agentmods
npx agentmods add skills/biotender-max/awesome-bio-agent-skills/bioskills__database-access__ortholog-inference
Install

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.

Any agent
npx skills add BioTender-max/awesome-bio-agent-skills --skill bioskills__database-access__ortholog-inference
Clone the repo
git clone --depth 1 https://github.com/BioTender-max/awesome-bio-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for bio-ortholog-inference

README.md
[![agentmods](https://agentmods.dev/badge/skills/biotender-max/awesome-bio-agent-skills/bioskills__database-access__ortholog-inference/github.svg)](https://agentmods.dev/skills/biotender-max/awesome-bio-agent-skills/bioskills__database-access__ortholog-inference)
Your own site
<a href="https://agentmods.dev/skills/biotender-max/awesome-bio-agent-skills/bioskills__database-access__ortholog-inference"><img src="https://agentmods.dev/badge/skills/biotender-max/awesome-bio-agent-skills/bioskills__database-access__ortholog-inference/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.

agentmods 80×15 button for bio-ortholog-inference

Your own site · 80×15
<a href="https://agentmods.dev/skills/biotender-max/awesome-bio-agent-skills/bioskills__database-access__ortholog-inference"><img src="https://agentmods.dev/badge/skills/biotender-max/awesome-bio-agent-skills/bioskills__database-access__ortholog-inference.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 141 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,908 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00141 $0.04908
Opus 5 $0.00071 $0.02454
Sonnet 5 $0.00028 $0.00982
Haiku 4.5 $0.00014 $0.00491

Measured 9d ago against content hash 71b81fe29517, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

bio-ortholog-inference scanned grade A with 1 finding 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 9d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (examples/compara_orthologs.py, examples/cross_resource.py, examples/kegg_orthology.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Python: `requests.get()` against REST endpoints; `pandas` for parsing
skills/bioskills/bioskills__database-access__ortholog-inference/SKILL.md · 374 lines

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.

Read it on GitHub

Files

What ships with it

4 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.

Changes

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.

  1. 9d ago First seen · 374 lines · 141 tokens per session scan A 71b81fe29517

Subscribe to this mod's changes

bio-ortholog-inference is a skill published in the GitHub repository BioTender-max/awesome-bio-agent-skills (178 stars, last pushed 2mo ago), with no licence file. It adds 141 tokens to every session and 4,908 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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