agent-reputation-benchmark
agent-reputation-benchmark is an SEO strategy & audits skill for AI agents, published by unifapi-agent in the agents repository on GitHub. Skillspace rates agent-reputation-benchmark C (79/100) and it passed the safety scan; the rating is based on static analysis only.
When a real estate agent or brokerage wants to benchmark its public reviews and local-pack presence against nearby competitors for queries like "realtor [city]" or "homes for sale [neighborhood]." Also use on "realtor reviews benchmark," "why aren't we in the map pack for realtor," "compare our Google reviews to other agents," "agent reputation," "local pack for real estate," or "how do I beat the top agent locally." Reads public listing and SERP data only — marketing research, not real-estate advice.
- Grade
- C
- Quality
- 79 / 100
- Safety
- Passed
- GitHub stars
- 567
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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