Beta Sentiment Analyzer
v1.0.0Analyzes sentiment from social media, news headlines, and financial text. Outputs positive/negative/neutral scores with confidence levels and key phrase extr...
⭐ 0· 45·0 current·0 all-time
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (sentiment analysis for social media/news/financial text) match the included code and declared requirements. The only required binary is python3 and analyze.py implements keyword-based sentiment scoring for financial/crypto terms — proportional to the stated purpose.
Instruction Scope
SKILL.md instructs running analyze.py with --text or --file. The script only reads the provided file or standard input, performs local text scoring, and prints results. There are no instructions to access other system files, environment variables, or external endpoints.
Install Mechanism
There is no install spec (instruction-only skill plus a small included script). Nothing is downloaded or written to disk by an installer — lowest-risk install model.
Credentials
No environment variables, credentials, or config paths are requested or used. The code does not access os.environ or external services.
Persistence & Privilege
always is false and the skill does not request persistent presence or modify other skills/configuration. It runs only when invoked.
Assessment
This skill is a small, local Python script that uses simple keyword matching to produce sentiment scores. It does not call the network or request credentials, so from a security standpoint it is low-risk to run locally. Consider these points before installing: (1) Accuracy: keyword-based sentiment is brittle and may misclassify nuanced text; do not rely on it for financial decisions. (2) Privacy: if you pass a file, the script will read that file locally — avoid passing sensitive files unless you trust the code and environment. (3) Inspectability: the full source is included and short — review it if you want to confirm behavior. If you need production-grade sentiment analysis or scaled processing, prefer a vetted library or API with clear data-handling policies.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
💬 Clawdis
Binspython3
