Skill audit report

attribution-model Audit report.

Design a multi-touch attribution strategy — recommends the best-fit model for the business's sales cycle and data maturity, defines credit-distribution rules and lookback windows, maps platform-specific setup (GA4, HubSpot, Salesforce, warehouse), and documents tracking gaps and known blind spots. Triggers on \"/digital-marketing-pro:attribution-model\", \"set up multi-touch attribution\", \"which attribution model should we use\", \"configure GA4 attribution\", \"how should we credit channels for conversions\". Reads the brand profile and consumes the canonical model taxonomy in skills/funnel-architect/attribution-models.md; to run the models against real conversion data, pair with /digital-marketing-pro:attribution-report.

REVIEWED · REVIEWNeeds reviewGenerated Nov 5, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

INFO

787 GitHub stars

Stars/forks activity

INFO

787 stars, 132 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

database surface

Install availability

PASS

npx skills add indranilbanerjee/digital-marketing-pro --skill attribution-model

Install command safety

PASS

standard package or runtime install path

Permission surface

INFO

filesystem or document access, database access

Repository evidence

PASS

https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/attribution-model

Review status

PASS

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

9 Passed · 6 Needs review

Install path

PASS

npx skills add indranilbanerjee/digital-marketing-pro --skill attribution-model

Repository

PASS

https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/attribution-model

License

PASS

MIT

Maintenance

PASS

3mo since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

PASS

database surface

Install command safety

PASS

standard package or runtime install path

Permission surface

CHECK

filesystem or document access, database access

Stars/forks activity

CHECK

787 stars, 132 forks; issue activity unavailable in current metadata

Adoption

PASS

787 GitHub stars

Financial decision safety

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
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review

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.

Install path

Review the report before installing into production agents.

$ npx skills add indranilbanerjee/digital-marketing-pro --skill attribution-model

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 82/100
Quality: 73/100
Trust: 81/100
Install safety: 92/100
Permission surface: 74/100
Maintenance: 3mo since push
Events: 17 events
GitHub stars: 787
Last push: Aug 17, 2026

Agent safety v2

58/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Financial research output is not financial advice; require human review before any live investment decision
58/100 agent safety score

Browser automation

medium

Skill may drive a browser or interact with web pages.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Database access

medium

Skill may inspect schemas, query databases, or work with persistent stores.

Financial research output is not financial advice; require human review before any live investment decision

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