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Install in OpenClaw
/install risk-sentiment-scanner
Description
企业舆情信用风险扫描。当用户提供企业名称列表时,自动抓取各企业最新公开舆情(新闻、公告、监管信息),结合风险评分模型输出结构化信用风险报告。触发场景:(1)用户说"扫描风险"、"舆情分析"、"信用风险评级";(2)用户提供了一份企业名单需要批量评估;(3)用户上传含企业名称的CSV/TXT文件;(4)定期复检提醒...
Usage Guidance
This skill appears to be a judgment/analysis layer that expects the agent to perform web searches and extract article text — the bundled script only scores text and writes reports. Before installing: (1) Confirm what tools/permissions your agent will get (batch_web_search, extract_content_from_websites) so you understand what external calls will be made; (2) If you plan to push to Feishu, prepare and review the required Feishu credentials and only grant them if you trust the skill; (3) Test the skill on non-sensitive / dummy company names to verify it actually fetches content and doesn't produce misleading 'low risk' defaults (the script returns low-risk when no news is provided); (4) Be aware the skill will read memory/risk-watchlist.md and write reports to disk — avoid storing sensitive secrets in those files. If the owner/source is unknown and you need guaranteed accountability for data handling, treat this as untrusted until provenance and credential usage are clarified.
Capability Analysis
Type: OpenClaw Skill
Name: risk-sentiment-scanner
Version: 1.0.0
The skill is a legitimate corporate risk assessment tool that performs sentiment analysis on public news. The core logic in `scripts/scan.js` uses a transparent keyword-based scoring model to evaluate companies, and the `SKILL.md` instructions guide the agent to use standard web search and extraction tools. There is no evidence of data exfiltration, unauthorized file access, or malicious command execution; the use of the `memory/` directory for watchlists and reports is consistent with the OpenClaw platform's intended design.
Capability Assessment
Purpose & Capability
The skill claims end-to-end scraping + rating. SKILL.md instructs the agent to call batch_web_search and extract_content_from_websites to gather articles. The included scripts/scan.js only performs local text analysis and file I/O (reads a watchlist, writes reports) and explicitly expects the agent to supply fetched news texts. This is a coherence mismatch (placeholder analysis code vs claimed full pipeline) but can be explained by design (agent performs network steps).
Instruction Scope
Instructions direct the agent to read memory/risk-watchlist.md, accept uploaded CSV/TXT, use external search/extraction tools, and optionally push reports to Feishu. Reading the memory file and saving reports are expected, but the skill also tells the agent to transmit data to third-party endpoints (Feishu) without declaring required credentials. The agent will therefore have discretion to call external endpoints and access user memory — review what tool permissions the agent will get before enabling.
Install Mechanism
No install spec; skill is instruction-only with a small local script. No downloads or archive extraction are specified, so there is low installation risk. scripts/scan.js is plain JS and performs only local processing and filesystem writes.
Credentials
SKILL.md references pushing to Feishu (Feishu Skill interface) and using 'batch_web_search'/'extract_content_from_websites' tools, but the skill declares no required environment variables or credentials. If you intend to enable Feishu pushes or other third-party integrations, credentials will be needed — their absence in requires.env is an inconsistency to clarify.
Persistence & Privilege
The skill does not request always:true and is user-invocable only. It reads/writes files under the agent's memory and reports directories (memory/risk-watchlist.md, memory/risk-reports, reports/...), which is expected for this use case; it does not modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install risk-sentiment-scanner - After installation, invoke the skill by name or use
/risk-sentiment-scanner - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Risk Sentiment Scanner:
- Supports batch scanning of enterprises for public sentiment and credit risk, triggered by direct input, file upload, or scheduled tasks.
- Crawls up-to-date news, regulatory, and financial information from prioritized Chinese media sources.
- Extracts relevant report content and summarizes enterprise risk factors with LLM-driven risk scoring (R1–R4) and structured JSON output.
- Generates aggregated and company-level risk reports, output to chat, file, or Feishu document as needed.
- Automated high-risk (R4) alerts with actionable recommendations.
- Includes tools for managing and updating enterprise monitoring lists.
Metadata
Frequently Asked Questions
What is risk-sentiment-scanner?
企业舆情信用风险扫描。当用户提供企业名称列表时,自动抓取各企业最新公开舆情(新闻、公告、监管信息),结合风险评分模型输出结构化信用风险报告。触发场景:(1)用户说"扫描风险"、"舆情分析"、"信用风险评级";(2)用户提供了一份企业名单需要批量评估;(3)用户上传含企业名称的CSV/TXT文件;(4)定期复检提醒... It is an AI Agent Skill for Claude Code / OpenClaw, with 373 downloads so far.
How do I install risk-sentiment-scanner?
Run "/install risk-sentiment-scanner" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is risk-sentiment-scanner free?
Yes, risk-sentiment-scanner is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does risk-sentiment-scanner support?
risk-sentiment-scanner is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created risk-sentiment-scanner?
It is built and maintained by yukirang (@yukirang); the current version is v1.0.0.
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