serm-guard
Skill5 starsChanged 8 months agoNo licenceView on GitHub
Sentiment & Reputation Guard — comprehensive brand reputation audit through search engines and LLM perception analysis. Analyzes online reviews, forums, news, and social media to score brand reputation 0-100 across four dimensions: Search Sentiment, SERP Control, Platform Presence, and LLM Sentiment. Auto-detects industry niche (crypto, iGaming, SaaS, agency, ecommerce, fintech, etc.) and tailors the query matrix accordingly. Generates a visual inline HTML report with a prioritized recommendations roadmap (Quick Wins / Medium-term / Strategic).
In this repositoryOne other file it gives its agents.
- aeo-auditSkill
The file
Show its rules and text
We split this skill into the rules it gives an agent
25 rules. About 0 are common, 15 are distinctive, and 10 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈15
Distinctive · estimate
This author's own choices. Worth a look.
10
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

