技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 500 · 10 current installs · 10 all-time installs
⭐ 0
安装量（当前） 10
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：agistack/fetch
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code, instructions, and resource requirements are consistent with its stated purpose (fetching public URLs and storing cleaned + raw results locally); nothing indicates stealthy exfiltration or unrelated privileges.
目的
Name/description (public fetch + clean + local save) align with the provided scripts: fetch_url.py performs an HTTP(S) GET, extract.py cleans/extracts title/links, and storage writes files under ~/.openclaw/workspace/memory/fetch. There are no requests for unrelated credentials or services.
说明范围
SKILL.md instructions match the scripts' behavior: they require python3, operate on public URLs, store data locally, and offer list/show/save workflows. The scripts do not read other system files, contact endpoints beyond the target URL, or perform browser automation. Minor note: extracted links are returned as-is (may include non-http schemes) and large downloads are not size-limited.
安装机制
No install spec and no external package downloads — the skill is delivered as scripts and uses only Python stdlib. This is the lowest-risk install model.
证书
The skill requires no environment variables, credentials, or config paths beyond writing to its own ~/.openclaw workspace. Declared runtime constraints (no cookies, no logins) match the code.
持久
always is false; the skill does not request permanent/global agent privileges or modify other skills. It writes only to its own workspace directory and job file.
综合结论
This skill appears coherent and self-contained. Before installing: (1) review and, if desired, run the included scripts locally to confirm behavior; (2) be cautious when fetching untrusted URLs — large responses are not size-limited and raw HTML may contain sensitive data you wouldn't want stored locally; (3) confirm you are comfortable with files being created under ~/.openclaw/workspace/memory/fetch. No credentials or external uploads are re…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Fetch」。简介：Public web retrieval and clean extraction engine. Use whenever the user wants t…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/agistack/fetch/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: fetch
description: Public web retrieval and clean extraction engine. Use whenever the user wants to fetch, download, inspect, clean, or save content from a public URL. Supports safe fetching of public web pages, extracts title/text/links, stores results locally, and keeps a job history. No credentials, no login flows, no cloud sync.
---
# Fetch
Turn public URLs into usable local content.
## Core Philosophy
1. Fetch only public web content.
2. Prefer clean extracted text over noisy raw HTML.
3. Save both the raw response and structured extraction locally.
4. Keep a simple local job history so previous fetches are easy to inspect.
## Runtime Requirements
- Python 3 must be available as `python3`
- No external packages required
## Safety Boundaries
- Public URLs only
- No login flows
- No cookies or browser automation
- No API keys or credentials
- No external uploads or cloud sync
- All fetched data is stored locally only
## Local Storage
All data is stored under:
- `~/.openclaw/workspace/memory/fetch/jobs.json`
- `~/.openclaw/workspace/memory/fetch/pages/`
## Key Workflows
- **Fetch URL**: `fetch_url.py --url "https://example.com"`
- **Save cleaned output**: `save_output.py --url "https://example.com" --title "Example"`
- **List history**: `list_jobs.py`
- **Show job details**: `show_job.py --id JOB-XXXX`
## Scripts
| Script | Purpose |
|---|---|
| `init_storage.py` | Initialize local storage |
| `fetch_url.py` | Fetch a public URL and extract content |
| `save_output.py` | Save cleaned output with a custom title |
| `list_jobs.py` | List previous fetch jobs |
| `show_job.py` | Show one saved fetch job |