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V002
by
ahong
ยท GitHub โ
ยท v1.0.12
ยท MIT-0
296
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0
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0
Active Installs
2
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Install in OpenClaw
/install databass001
Description
๐ฅ ไธ้ฎ่ทๅๅ
จๅนณๅฐ็ญๆฆ๏ผB็ซ+ๆ้ณ+ๅพฎๅ+ๅคดๆก๏ผไธ็ซๆๅฎๆๆ็ญ็นใ่ชๅชไฝ่ฟ่ฅๅฟ
ๅค๏ผๅ
่ดนไฝฟ็จ๏ผๅฎๅถๅผๅ่ฏท่็ณปไฝ่
ใ
README (SKILL.md)
๐ฅ ๅ จๅนณๅฐ็ญๆฆ่ๅ v4.0
ไธไธชๆ่ฝๆๅฎๆๆๅนณๅฐ็ญๆฆ๏ผB็ซ + ๆ้ณ + ๅพฎๅ + ๅคดๆก
โจ v4.0 ๆฐๅ่ฝ
- โ ๆฐๅขๆ้ณ็ญๆๆฏๆ
- โ ๆฐๅขไปๆฅๅคดๆก็ญๆฆๆฏๆ
- โ ไผๅๆฐๆฎ็ปๆ
- โ ๆนๅๅฏ่งๅๆฅๅ
๐ฆ ๅฎ่ฃ
npx clawhub@latest install daily-hot-aggregator
๐ ไฝฟ็จ
# ่ทๅๆๆๅนณๅฐ Top 5
python3 fetch_all.py --top 5
# ่ทๅๆๅฎๅนณๅฐ
python3 fetch_all.py --bilibili --top 10
python3 fetch_all.py --douyin --top 10
# ็ๆๆ่ฆ
python3 fetch_all.py --summary --output daily_report.json
๐ ๆฏๆๅนณๅฐ
| ๅนณๅฐ | ็ถๆ | ๆฐๆฎๅ ๅฎน |
|---|---|---|
| B็ซ | โ ๆญฃๅธธ | ็ญ้จ่ง้ขๆ่กๆฆ |
| ๆ้ณ | โ ๆญฃๅธธ | ็ญๆๆฆ |
| ไปๆฅๅคดๆก | โ ๏ธ ้จๅ | ็ญ็นๆฐ้ป |
| ๅพฎๅ | โ ้Cookie | ็ญๆๆฆ |
| ็ฅไน | โ ้ๆๆ | ็ญๆฆ |
๐ฐ ๅฎๅถๆๅก
ๅ ่ดนไฝฟ็จๆฌๆ่ฝ๏ผๅฆ้ไปฅไธๆๅก่ฏท่็ณปไฝ่ ๏ผ
- ๐ง ๅฎๅถๅผๅ๏ผๅคๅนณๅฐๆฐๆฎ่ๅๆนๆก
- ๐ ๆฐๆฎๅๆ๏ผ่ทจๅนณๅฐ็ญ็น่ถๅฟๅๆ
- ๐ค ่ชๅจๅ้จ็ฝฒ๏ผๅฎๆด็ๆฐๆฎ็ๆง็ณป็ป
- ๐ฑ ็ณป็ป้ๆ๏ผๅฏนๆฅไผไธๅ ้จ็ณป็ป
่็ณปๆนๅผ๏ผ
- ๐ฑ QQ๏ผ2595075878
- ๐ง ้ฎ็ฎฑ๏ผ[email protected]
๐ ่ฎธๅฏ่ฏ
MIT License
Usage Guidance
This skill's code (fetch_all.py) appears to only fetch trending items from B็ซ, ๆ้ณ, and ไปๆฅๅคดๆก using public HTTP endpoints and does not access secrets โ that part is coherent and low-risk. However, the documentation and package metadata claim many more platforms and features (Weibo requiring cookies, Zhihu auth, push notifications, scheduling) that are not implemented, and version/owner metadata are inconsistent. Before installing or running: (1) treat the repository as untrusted until you verify it โ inspect fetch_all.py yourself (you have it), (2) do not provide any cookies, API keys, or credentials (the package does not need them), (3) run it in an isolated environment or container with restricted network access if you are cautious, and (4) if you need the extra platforms/features, ask the author for a clear changelog or updated release that actually implements them. If the maintainer cannot explain the metadata/version mismatches, prefer a different, better-documented tool.
Capability Analysis
Type: OpenClaw Skill
Name: databass001
Version: 1.0.12
The skill bundle is a straightforward web scraper designed to fetch trending topics from Bilibili, Douyin, and Toutiao. The Python script (fetch_all.py) uses standard libraries (urllib) to access public APIs and contains no evidence of data exfiltration, malicious execution, or prompt injection. While there is a discrepancy between the platforms advertised in the documentation and those implemented in the code, the behavior remains entirely consistent with its stated purpose.
Capability Assessment
Purpose & Capability
The README/SKILL.md advertise support for many platforms (B็ซ, ๅพฎๅ, ๅฐ็บขไนฆ, ็พๅบฆ, ็ฅไน) and features (AIๆ่ฆ, ๅคๆธ ้ๆจ้, ๅฎๆถไปปๅก), but the included fetch_all.py only implements B็ซ, ๆ้ณ, and ไปๆฅๅคดๆก. Package scripts reference --weibo though no --weibo flag exists. Version fields across registry (1.0.12), package.json (1.0.0), file header (4.0.0), and _meta.json (4.0.1) disagree. These inconsistencies suggest sloppy packaging or incomplete implementation โ not necessarily malicious, but incoherent.
Instruction Scope
SKILL.md instructs running python3 fetch_all.py with flags; the script follows those instructions and only performs HTTP GETs to public platform endpoints and writes optional output file. The runtime instructions do not request secrets or access unrelated files. However, SKILL.md/README mention features (Weibo that needs Cookie, Zhihu auth, push/scheduling) that are not implemented, which gives the agent broader expectations than the code supports.
Install Mechanism
There is no install spec and no downloaded binaries; the code is included in the bundle and only requires python3 on PATH. No remote install URLs or archive extraction are present.
Credentials
The skill declares no required environment variables, secrets, or config paths and the code does not read environment variables or local credentials. There is one place in code that sets a Cookie header 'ttcid=0' for Douyin requests, but this is hard-coded and not sensitive.
Persistence & Privilege
The skill does not request 'always: true' and has no install-time actions that modify agent configuration or system settings. It runs as a one-off Python script per SKILL.md instructions.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install databass001 - After installation, invoke the skill by name or use
/databass001 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.12
Major version update: Now aggregates trending topics across multiple platforms.
- Added support for Bilibili, Douyin, Weibo, and Toutiao trending lists.
- Introduced new fetch_all.py script for retrieving and summarizing multi-platform hot lists.
- Updated documentation with new usage examples and platform support details.
- Removed legacy GitHub Trending script and references.
- Improved data structure and visualization options.
v1.0.0
test test
Metadata
Frequently Asked Questions
What is V002?
๐ฅ ไธ้ฎ่ทๅๅ จๅนณๅฐ็ญๆฆ๏ผB็ซ+ๆ้ณ+ๅพฎๅ+ๅคดๆก๏ผไธ็ซๆๅฎๆๆ็ญ็นใ่ชๅชไฝ่ฟ่ฅๅฟ ๅค๏ผๅ ่ดนไฝฟ็จ๏ผๅฎๅถๅผๅ่ฏท่็ณปไฝ่ ใ It is an AI Agent Skill for Claude Code / OpenClaw, with 296 downloads so far.
How do I install V002?
Run "/install databass001" in the OpenClaw or Claude Code chat to install it in one step โ no extra setup required.
Is V002 free?
Yes, V002 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does V002 support?
V002 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created V002?
It is built and maintained by ahong (@loveyou001); the current version is v1.0.12.
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