hitkeep-traffic-diagnosis
hitkeep-traffic-diagnosis is a Marketing analytics & attribution skill for AI agents, published by PascaleBeier in the hitkeep repository on GitHub. Skillspace rates hitkeep-traffic-diagnosis C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnose HitKeep traffic drops, spikes, source shifts, and suspicious changes. Use when the user asks why traffic changed, whether a deploy hurt traffic, whether organic/search/referral/direct traffic moved, whether a spike is real or bot-like, or what happened to sessions, visitors, pageviews, events, or conversions in HitKeep. Use with HitKeep MCP when available and follow the parent hitkeep-analytics skill when it is also loaded.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 71
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
- 100 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked 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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