gene-tree-query-and-scope

gene-tree-query-and-scope is a skill for Claude Code, Codex from Hongda-Zhao/bio-gene-to-reference-tree. It costs 57 tokens per session (268 once invoked), scanned A, original, MIT.

A workflow step for identifying the exact gene or protein being studied and defining the purpose of its gene tree. It can work from an accession number, a local sequence, or a name combined with an organism.

In plain words
What is it for?
It helps confirm sequence identity and source, resolve taxonomy, choose the analysis scope, and define the requested tree and deliverables.
Why use it?
It prevents later analysis from being based on the wrong molecule, organism, sequence type, or scientific objective.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps confirm sequence identity and source, resolve taxonomy, choose the analysis scope, and define the requested tree and deliverables.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hongda-zhao/bio-gene-to-reference-tree/gene-tree-query-and-scope
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 Hongda-Zhao/bio-gene-to-reference-tree --skill gene-tree-query-and-scope
Clone the repo
git clone --depth 1 https://github.com/Hongda-Zhao/bio-gene-to-reference-tree

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 gene-tree-query-and-scope

README.md
[![agentmods](https://agentmods.dev/badge/skills/hongda-zhao/bio-gene-to-reference-tree/gene-tree-query-and-scope/github.svg)](https://agentmods.dev/skills/hongda-zhao/bio-gene-to-reference-tree/gene-tree-query-and-scope)
Your own site
<a href="https://agentmods.dev/skills/hongda-zhao/bio-gene-to-reference-tree/gene-tree-query-and-scope"><img src="https://agentmods.dev/badge/skills/hongda-zhao/bio-gene-to-reference-tree/gene-tree-query-and-scope/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 gene-tree-query-and-scope

Your own site · 80×15
<a href="https://agentmods.dev/skills/hongda-zhao/bio-gene-to-reference-tree/gene-tree-query-and-scope"><img src="https://agentmods.dev/badge/skills/hongda-zhao/bio-gene-to-reference-tree/gene-tree-query-and-scope.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 268 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.00057 $0.00268
Opus 5.5 $0.00023 $0.00107
Sonnet 5.5 $0.00011 $0.00054
Haiku 4.5 $0.00006 $0.00027

Measured 1mo ago against content hash 22ebc231a93f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gene-tree-query-and-scope 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 1mo 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.

.github/skills/gene-tree-query-and-scope/SKILL.md · 16 lines

What it actually says

Gene-Tree Query and Scope

This repository-level adapter delegates its scientific rules to the canonical Skill.

  1. Read the core claims and workflow gates.
  2. Follow Step 1 — Resolve the query.
  3. After Gate 1 passes, follow Step 2 — Define the objective.
  4. Load sequence-type routing or taxonomy resolution only when its canonical trigger applies.

When both linked exit conditions are satisfied, hand off to the reference-curation adapter.

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. 1mo ago First seen · 16 lines · 57 tokens per session scan A 22ebc231a93f

Subscribe to this mod's changes

gene-tree-query-and-scope is a skill published in the GitHub repository Hongda-Zhao/bio-gene-to-reference-tree (17 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 268 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

onekgpd

Queries the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which…

K-Dense-AI/scientific-agent-skills · 143 tokens

biopython

Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom molecular-biology pipelines, BLAST automation, structure analysis, and motif analysis.

K-Dense-AI/scientific-agent-skills · 65 tokens

neuropixels-analysis

Analyzes Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when…

K-Dense-AI/scientific-agent-skills · 99 tokens

pkpd-modeling

Pharmacokinetic and pharmacodynamic modelling and simulation - non-compartmental analysis, compartmental and population PK, PK/PD and exposure-response, TMDD, PBPK orientation, bioequivalence, allometric scaling and first-in-human dose, drug interaction prediction, and Bayesian therapeutic drug monitoring. Use when…

K-Dense-AI/scientific-agent-skills · 273 tokens

pydicom

Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.

K-Dense-AI/scientific-agent-skills · 52 tokens

clinical-decision-support

Prepares and validates research-only clinical decision-support evaluation, evidence-profile, cohort, survival, biomarker/model, privacy, and governance artifacts. Supports aggregate or synthetic research documentation and traceability, excluding patient care and live clinical operation.

K-Dense-AI/scientific-agent-skills · 51 tokens