Sentinel Mood

Analyze the sentiment and emotional tone of text using NLTK and VADER. Use this to gauge user mood, detect urgency, or analyze content tone.

This skill appears coherent and implements what it claims: a local VADER sentiment analyzer. Before installing, ensure the runtime environment provides Python 3 and the nltk package (SKILL.md lists these but the registry metadata did not list required binaries). Note that on first run the script will download the NLTK vader_lexicon from NLTK's servers (network access) — this is expected and required for analysis. The script does not access credentials or send data to external endpoints, so privacy risk is low if you run it locally; if your environment redirects network calls or telemetry, be aware the download will occur.

Type: OpenClaw Skill Name: sentinel-mood Version: 1.0.0 The skill bundle is benign. The `analyze.py` script performs sentiment analysis using NLTK's VADER lexicon, downloading the lexicon if necessary via `nltk.download` (a legitimate dependency management step). Input is processed as text, with no shell injection risks. The `SKILL.md` documentation accurately describes the skill and contains no prompt injection attempts against the agent. All files align with the stated purpose and show no signs of malicious intent, data exfiltration, or unauthorized actions.