pricing

pricing is a Pricing & packaging skill for AI agents, published by coreyhaines31 in the marketingskills repository on GitHub. Skillspace rates pricing C (71/100) and it passed the safety scan; a judge model has also reviewed it.

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'can AI read my pricing.' Use this whenever someone is figuring out what to charge, how to structure their plans, or wants to audit a pricing page (for humans and for the AI agents that shortlist tools). For in-app upgrade screens, see paywalls. For offer construction (bonuses, guarantees, value framing, naming) on services/courses/coaching/high-ticket B2B, see offers.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
49,936

Placed #4 of 6 in the judged category final for Pricing & packaging.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Judge review

Placed #4 of 6 in the judged category final for Pricing & packaging.

  • Trigger8888
  • Instructions8585
  • Specificity8585
  • Safety9292
  • Disclosure8282
  • Maintenance7272
Richest of the pricing-strategy family, with genuinely useful day-one pricing guidance beyond the standard framework recap.
Best of the four: the widest trigger keyword list, genuinely useful day-one guidance (the $10/$100/$1,000 rule of thumb, the '$9 trap'), and a robust multi-path legacy context-file check.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • 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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