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：v0.1.2
统计：⭐ 0 · 1k · 5 current installs · 5 all-time installs
⭐ 0
安装量（当前） 5
🛡 VirusTotal ：可疑 · OpenClaw ：良性
Package：0xnuminous/letterboxd-watchlist
安全扫描（ClawHub）
- VirusTotal ：可疑
- OpenClaw ：良性
OpenClaw 评估
The skill is internally coherent: it bundles a small Python scraper that fetches public Letterboxd watchlist pages and writes CSV/JSONL, asks only for a username, and does not request credentials or external services.
目的
The name/description match the included code: the script scrapes a public Letterboxd watchlist and outputs CSV/JSONL. One minor inconsistency: SKILL.md shows the usage as `uv run scripts/scrape_watchlist.py` but the skill metadata lists no required binaries. The script requires a Python 3 runtime (and the agent environment needs either a way to run Python scripts or the 'uv' runner referenced).
说明范围
SKILL.md instructions stay on task: they instruct the agent to ask for the username, run the bundled scraper, and produce CSV/JSONL output. The docs explicitly limit scope and say not to read local folders or perform unrelated follow-ups. The scraper only fetches Letterboxd pages and writes a local output file.
安装机制
No install spec is provided (instruction-only plus a script file). Nothing is downloaded at install time and no archives or external installers are referenced, which is low-risk.
证书
The skill requests no environment variables, credentials, or config paths. The script performs unauthenticated HTTP GETs to letterboxd.com only and writes a local file, which is proportionate to the stated purpose.
持久
The skill does not request permanent presence (always: false) and does not modify other skills or system/global config. It runs only when invoked.
综合结论
This skill appears to do exactly what it says: a small Python scraper that fetches public Letterboxd watchlist pages and writes CSV/JSONL. Before installing or running it, consider: (1) Ensure your agent environment can run the script (Python 3 is required; SKILL.md references `uv run` which is not declared as a required binary). (2) Review the script yourself — it performs network requests and writes files locally but does not exfiltrate data…
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「Letterboxd Watchlist」。简介：Scrape a public Letterboxd user's watchlist into a CSV/JSONL list of titles and…。
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/0xnuminous/letterboxd-watchlist/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: letterboxd-watchlist
description: Scrape a public Letterboxd user's watchlist into a CSV/JSONL list of titles and film URLs without logging in. Use when a user asks to export, scrape, or mirror a Letterboxd watchlist, or to build watch-next queues.
---
# Letterboxd Watchlist Scraper
Use the bundled script to scrape a **public** Letterboxd watchlist (no auth).
Always ask the user for the Letterboxd username if they did not provide one.
## Script
- `scripts/scrape_watchlist.py`
### Basic usage
```bash
uv run scripts/scrape_watchlist.py <username> --out watchlist.csv
```
### Robust mode (recommended)
```bash
uv run scripts/scrape_watchlist.py <username> --out watchlist.jsonl --delay-ms 300 --timeout 30 --retries 2
```
### Output formats
- `--out *.csv` → `title,link`
- `--out *.jsonl` → one JSON object per line: `{ "title": "…", "link": "…" }`
## Notes / gotchas
- Letterboxd usernames are case-insensitive, but must be exact.
- The script scrapes paginated pages: `/watchlist/page/<n>/`.
- Stop condition: first page with **no** `data-target-link="/film/..."` poster entries.
- The scraper validates username format (`[A-Za-z0-9_-]+`) and uses retries + timeout.
- Default crawl delay is 250ms/page to be polite and reduce transient failures.
- This is best-effort HTML scraping; if Letterboxd changes markup, adjust the regex in the script.
## Scope boundary
- This skill only scrapes a public Letterboxd watchlist and writes CSV/JSONL output.
- Do not read local folders, scan libraries, or perform unrelated follow-up actions unless explicitly requested by the user.