菜单
网页内容获取工具 | 当常规爬虫被过滤时，使用替代服务获取网页内容。支持：1) r.jina.ai - 最稳定 2) markdown.new - Cloudflare 专用 3) defuddle.md - 备用方案。触发词：获取网页内容、网页转markdown、内容抓取、fetch webpage、bypass cloudflare
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Predict protein structure for monomers and multimers with AlphaFold2 via the ColabFold runner (Mirdita et al. 2022, github.com/sokrypton/ColabFold; AlphaFold2 Jumper et al. 2021). Reach for this skill to fold a sequence or complex with the AF2/AF2-Multimer evoformer, to validate designed sequences by self-consistency pLDDT, ipTM, and RMSD, or to run a quick MSA-backed prediction using the public MMseqs2 server.
Structure prediction for protein, nucleic-acid, and small-molecule complexes with Boltz-2 (Passaro & Wohlwend et al. 2025, github.com/jwohlwend/boltz). Reach for this skill to validate designed binders against a target, to co-fold a protein with a SMILES or CCD ligand, or to get an open-source AlphaFold3 alternative with optional binding-affinity prediction.
Predict genome-wide functional tracks (RNA-seq, CAGE, DNase, ChIP) from DNA sequence with Borzoi. Use this skill when: (1) Scoring the regulatory effect of a variant on expression/accessibility, (2) Generating predicted coverage tracks for a locus, (3) Prioritising non-coding variants by predicted track delta.
Structure prediction for protein, nucleic-acid, and small-molecule complexes with the Chai-1 foundation model (Chai Discovery 2024, github.com/chaidiscovery/chai-lab). Reach for this skill to predict an antibody-antigen or protein-ligand complex from a single FASTA, to re-fold designed binders as an AlphaFold-multimer alternative, or to drive co-folding from Python for batched campaigns on a GPU.
Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its own software stack, or wiring weight caches. Triggers on "new compute provider", "set up env on", "port env to", "build GPU image", "weight cache", "compute_details", "conda env on the box", "apptainer on slurm".
| name | web-content-fetcher |
| description | 网页内容获取工具 | 当常规爬虫被过滤时，使用替代服务获取网页内容。支持：1) r.jina.ai - 最稳定 2) markdown.new - Cloudflare 专用 3) defuddle.md - 备用方案。触发词：获取网页内容、网页转markdown、内容抓取、fetch webpage、bypass cloudflare |
| author | Boss |
| metadata | {"openclaw":{"emoji":"🌐","tags":["web","fetch","markdown","cloudflare","bypass"]}} |
当常规 web_fetch/web_search 无法获取内容时，使用替代服务获取网页 Markdown 格式内容。
| 优先级 | 服务 | 用法 | 适用场景 |
|---|---|---|---|
| 1 | r.jina.ai | https://r.jina.ai/{url} | 最稳定，通用性强 |
| 2 | markdown.new | https://markdown.new/{url} | Cloudflare 保护网站 |
| 3 | defuddle.md | https://defuddle.md/{url} | 备用方案 |
当需要获取网页内容时，按顺序尝试：
web_fetch 尝试获取# 使用 jina.ai (首选)
curl -s "https://r.jina.ai/https://example.com"
# 使用 markdown.new (Cloudflare)
curl -s "https://markdown.new/https://example.com"
# 使用 defuddle.md (备用)
curl -s "https://defuddle.md/https://example.com"
# 简单获取
fetch_webpage <url>
# 指定方法
fetch_webpage <url> --method jina|markdown|defuddle
用户: 帮我获取 https://news.example.com/article/123 的内容
助手: (使用 r.jina.ai 获取)
本目录包含 fetch.sh 脚本，可直接调用：
./fetch.sh https://example.com
./fetch.sh https://example.com jina
让网页内容获取不再受限 🌐