Audit and optimize brand messaging to improve how AI platforms portray your brand. Fix negative AI sentiment signals and strengthen positive brand associatio...
Security Analysis
high confidenceThe skill's documentation claims web-auditing capabilities (crawl pages, score multiple pages, a separate scoring script) that the included code does not implement and references missing tools — the pieces are inconsistent and should be clarified before use.
The SKILL.md describes auditing a brand across pages, fetching third‑party coverage, and a separate score_sentiment.py tool; the only provided script (scripts/audit_sentiment.py) accepts a single --content string and performs a trivial local text check. The declared functionality (crawl pages, analyze external coverage, compute multi-metric scores) is not implemented by the included code, and the README's Quick Start flags (--brand, --pages, --output) do not match the script's CLI (--content).
Instructions instruct running scripts with domain/pages arguments and producing reports, but the actual script requires raw content input. There are no instructions to read secrets or system files, nor any hidden endpoints in the included files. However, SKILL.md implies network activity (auditing web pages, third-party coverage) that would require web fetching; that behavior is not present in the shipped code but could be added later — this mismatch is concerning.
No install spec; skill is instruction-only with one small local Python script. No downloads, no packages, and nothing written to disk by an installer. Low install risk.
No environment variables, credentials, or config paths are requested — this is appropriate for an offline text-audit tool. That said, SKILL.md's implied web-audit capabilities would normally require network access or API keys, which are not declared.
Skill does not request persistent/always-on presence and uses default agent invocation settings. It does not modify other skills or system configs in the provided files.
Guidance
This skill's docs claim more capability than the included code provides. Before installing or running it: 1) Ask the author for the missing score_sentiment.py and for scripts that perform page fetching if those features are required. 2) Verify CLI usage: the Quick Start flags (--brand, --pages, --output) do not match the provided script (--content). 3) If you expect the skill to fetch web pages or call external services, require the author to declare which network endpoints and credentials are used; otherwise run the tool in an isolated environment. 4) Review any additional code the author supplies for network calls, hardcoded endpoints, or obfuscated behavior. 5) Prefer a clarified, consistent package (matching docs, complete scripts) or mark as untrusted until provenance and missing files are resolved.
Latest Release
v1.0.0
Initial release: Optimize brand messaging for positive AI sentiment, methodology by GEOly AI
Popular Skills
Published by @geoly-geo on ClawHub
