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Agent Skill · 研究检索

gene-structure-mapper(基因结构图谱仪)

gene-structure-mapper 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

gene-structure-mapper 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 19,266。

总安装 5,691周安装 228GitHub Stars 公开资料未说明下载 1,842核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:gene-structure-mapper(基因结构图谱仪)
来源仓库:https://github.com/aipoch-ai/gene-structure-mapper
安装命令:
openclaw skills install gene-structure-mapper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install gene-structure-mapper

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

可视化基因结构,支持外显子-内含子图与突变位置标记。适用于生物学研究、基因组分析和医学文档插图生成。可输出 SVG、PNG 或 PDF 格式,适合公共场合展示。输入数据需准确标注基因名称与突变位点信息。gene-structure-mapper 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install gene-structure-mapper;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

gene-structure-mapper 怎么安装?

在终端执行 openclaw skills install gene-structure-mapper。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gene-structure-mapper 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

gene-structure-mapper 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

gene-structure-mapper 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

gene-structure-mapper 用的人多吗?

公开数据是累计安装 5,691 次,近一周安装 228 次,下载 1,842 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

gene-structure-mapper 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
gene-structure-mapper

基因结构图谱仪 · 本页

5,691—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
gene-structure-mapper
description
Visualize gene structure with exon-intron diagrams, domain annotations, and mutation position markers. Produces SVG, PNG, or PDF figures suitable for publication from a gene symbol input.
license
MIT
skill-author
AIPOCH
status
beta

Gene Structure Mapper

Generate exon-intron structure diagrams for any gene symbol using the Ensembl REST API. Optionally overlay protein domain annotations (UniProt) and mark mutation hotspot positions. Outputs publication-ready SVG, PNG, or PDF figures.

✅ IMPLEMENTED — scripts/main.py is fully functional. Ensembl REST API, caching, matplotlib visualization, --domains, --mutations, and --demo are all implemented.

Quick Check

python -m py_compile scripts/main.py
python scripts/main.py --help
python scripts/main.py --demo --output demo.png

When to Use

  • Creating gene structure figures for manuscripts or presentations
  • Visualizing splice variants and isoform differences
  • Marking mutation positions on a gene diagram for functional annotation
  • Overlaying domain boundaries on exon-intron maps

Workflow

  1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
  2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
  3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
  4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
  5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

Fallback template: If scripts/main.py fails or the gene symbol is unrecognized, report: (a) the failure point, (b) whether a manual Ensembl/UCSC lookup can substitute, (c) which output formats are still generatable.

Parameters

ParameterTypeRequiredDescription
--gene, -gstringYes*Gene symbol or Ensembl ID (e.g., TP53, BRCA1, ENSG00000141510)
--speciesstringNoSpecies name for Ensembl lookup (default: homo_sapiens)
--formatstringNoOutput format: png, svg, pdf (default: png)
--output, -ostringNoOutput file path (default: <gene>_structure.<format>)
--domainsflagNoFetch and overlay UniProt protein domain annotations
--mutationsstringNoComma-separated codon positions to mark (e.g., 248,273)
--demoflagNoUse hardcoded TP53 GRCh38 data — no internet required

*Required unless --demo is used.

Usage

python scripts/main.py --gene TP53 --format png
python scripts/main.py --gene BRCA1 --format png --domains --output brca1_structure.png
python scripts/main.py --gene KRAS --mutations 12,13,61 --format pdf
python scripts/main.py --demo
python scripts/main.py --demo --output demo.png --format svg

Implementation Notes (for script developer)

The script must implement:

  1. Gene lookup — GET https://rest.ensembl.org/lookup/symbol/homo_sapiens/{gene}?expand=1 to fetch exon coordinates. Cache response to .cache/{gene}_ensembl.json to avoid repeated API calls. Add a 0.1 s delay between requests for batch lookups. The unauthenticated rate limit is 15 requests/second.
  2. Unknown gene handling — catch HTTP 400/404 from Ensembl and exit with code 1: Error: Gene not found: {gene_name}. Check the gene symbol and try again.
  3. SVG/PNG/PDF output — use matplotlib or svgwrite to draw exon blocks (filled rectangles) and intron lines scaled to genomic coordinates.
  4. --domains flag — fetch UniProt domain annotations and overlay colored domain blocks on the gene structure.
  5. --mutations flag — accept comma-separated codon positions; map to exon coordinates and draw vertical markers.
  6. --demo flag — use hardcoded TP53 GRCh38 exon coordinates (no internet required) to generate a demo visualization.

Known Limitations

  • For genes with multiple isoforms, the script uses the canonical transcript (Ensembl is_canonical flag). Other isoforms are not visualized.
  • Domain overlay (--domains) maps UniProt amino acid positions to genomic coordinates using CDS length; accuracy may vary for genes with complex splicing.
  • Ensembl API responses are cached to .cache/{gene}_ensembl.json. Delete the cache file to force a fresh lookup.
  • The unauthenticated Ensembl REST API rate limit is 15 requests/second; a 0.1 s delay is applied between batch requests.

Features

  • Exon-intron visualization scaled to genomic coordinates
  • Protein domain annotation overlay via UniProt (optional, --domains)
  • Mutation position markers with configurable labels (--mutations)
  • Publication-ready output in SVG, PNG, or PDF
  • Demo mode for offline testing (--demo)
  • Ensembl API response caching to avoid rate-limit issues

Output Requirements

Every response must make these explicit:

  • Objective and deliverable
  • Inputs used and assumptions introduced (e.g., genome build, transcript isoform selected)
  • Workflow or decision path taken
  • Core result: gene structure figure file path
  • Constraints, risks, caveats (e.g., multi-isoform genes, annotation version)
  • Unresolved items and next-step checks

Input Validation

This skill accepts: gene symbol inputs for structure visualization, with optional domain and mutation overlays.

If the request does not involve gene structure visualization — for example, asking to perform sequence alignment, predict protein structure, or analyze expression data — do not proceed. Instead respond:

"gene-structure-mapper is designed to visualize gene exon-intron structure. Your request appears to be outside this scope. Please provide a gene symbol and desired output format, or use a more appropriate tool for your task."

Error Handling

  • If --gene is missing, state that the gene symbol is required and provide an example.
  • If the gene symbol is not found in Ensembl (HTTP 400/404), print: Error: Gene not found: {gene_name}. Check the gene symbol and try again. and exit with code 1.
  • If --mutations contains non-numeric values, reject with: Error: --mutations must be comma-separated integers (codon positions).
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Response Template

  1. Objective
  2. Inputs Received
  3. Assumptions
  4. Workflow
  5. Deliverable
  6. Risks and Limits
  7. Next Checks

平台分布

OpenClaw

79.57%
按下载量换算1,466

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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