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Skill scan report

watchers

View on GitHub
20 Low Automated analysis flagged 2 potential risk patterns.

What this skill does

Poll external sources (RSS, JSON APIs, GitHub) and react to new items with deduplication

github/nousresearch - Environment Variable Usage - 228.4k stars

ThreatsEnvironment Variable Usage

Threat analysis

Environment Variable Usage2 findings

Skill info

Namenousresearch/watchers
Registrygithub
Version49c6323
PURLpkg:github/NousResearch/hermes-agent@49c6323?skill=watchers
Stars228.4k

Assessments (2)

Environment Variable Usage2 findings MEDIUM
MEDIUM

Environment Variable Usage via local-llm-review

scripts/watch_github.py

Set GITHUB_TOKEN (or GH_TOKEN) in the Hermes .env file to avoid the 60 req/hr anonymous rate limit.
MEDIUM

Environment Variable Usage via local-llm-review

scripts/watch_http_json.py

The script may rely on environment variables for configuration (not explicitly shown in the code snippet).

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Anomity Skill Check badge

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of watchers? Report an issue or request a rescan.

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