Skill audit report

attribution Audit report.

When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools. Also use when the user mentions "attribution," "attribution model," "first-touch vs last-touch," "multi-touch," "which channel drives revenue," "what's my real CAC," "my dashboards disagree," "Google/Meta says X but GA says Y," "media mix model," "MMM," "incrementality," "geo lift," "holdout test," "how did you hear about us," "self-reported attribution," "dark social," or wants to instrument attribution themselves — "stitch my bookings to their source," "SavvyCal/Calendly attribution," "close the identify gap," "track conversions on a third-party domain," "first-party / self-hosted attribution." For event tracking setup and UTMs, see analytics. For ad-platform pixels/CAPI, see ads. For pipeline and CRM revenue reporting, see revops. For the AI-search attribution blind spot, see ai-seo.

REVIEWED · REVIEWNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
86
Audit
81
Trust
91
Quality
84
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

81
Strong shortlist

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

100

47K GitHub stars

Stars/forks activity

PASS

100

47K stars, 7.3K forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add coreyhaines31/marketingskills --skill attribution

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/coreyhaines31/marketingskills/tree/main/skills/attribution

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

10 Passed · 6 Needs review

Install path

92

PASS

npx skills add coreyhaines31/marketingskills --skill attribution

Repository

88

PASS

https://github.com/coreyhaines31/marketingskills/tree/main/skills/attribution

License

86

PASS

MIT

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

No security concerns identified; skill is purely informational and does not execute code or access sensitive data.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

100

PASS

47K stars, 7.3K forks; issue activity unavailable in current metadata

Adoption

88

PASS

47K GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Financial research output is not financial advice; require human review before any live investment decision
  • No security concerns identified; skill is purely informational and does not execute code or access sensitive data.
  • SKILL.md excerpt is truncated in the review, but the provided content is well-structured and complete enough to assess.
  • Financial research output is not financial advice; require human review before any live investment decision.

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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