playbook-first-name-cleaning
playbook-first-name-cleaning is a CRM administration skill for AI agents, published by growthenginenowoslawski in the coldoutboundskills repository on GitHub. Skillspace rates playbook-first-name-cleaning D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Turns the raw first-name field on a lead row into the name a person would actually be greeted by, so it can open an email. Triggers on "clean these first names", "first name variable", "the greeting says Hi DR MATTHEW", "strip the titles off the names", "some rows have the whole name in the first-name column", "normalize first names for the campaign". Outputs first_name_clean, one short string per row.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 705
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
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- mentions secrets in text
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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