Ads PlanSAFE

Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: ads-plan
description: "Create a professional paid-advertising strategy covering objectives, economics, platform selection, campaign architecture, audiences, budget, creative, measurement, experiments, governance, rollout, and reporting. Use for ad plan, media plan, PPC strategy, paid-social strategy, campaign architecture, advertising roadmap, or channel planning."
---

# Paid Media Plan

1. Read the setup profile, business economics, evidence, current account state, and
   relevant industry template as optional input.
2. Define objective, customer, offer, conversion, value, constraints, geography,
   regulated category, time horizon, and success criteria.
3. Evaluate channel roles and exclusions from first principles; do not require every
   supported platform. For a channel outside the twelve-platform contract, load
   `ads/references/additional-platforms.md` and return a research lead unless
   its current buying, eligibility, measurement, and creative evidence is present.
4. Before proposing Meta budgets, learning-phase expectations, bidding,
   consolidation, or performance forecasts, collect the account, Pixel, and
   conversion cold-start dimensions per the contract in
   `skills/ads-meta/SKILL.md`. When any dimension is cold or `unknown`, plan
   for measurement validation, explicit creative hypotheses, staged reversible
   tests, and confidence labels; do not apply mature-account benchmarks to
   missing history.
5. Specify campaign architecture, audience strategy, creative system, budget and
   pacing, measurement, experiments, policy controls, and operating cadence.
6. Phase prerequisites before launch, learning, optimization, and scale.
7. Assign every action an owner, timing, dependency, guardrail, evidence, success
   measure, and rollback or exit condition.
8. Return canonical JSON and render the requested human plan.

A plan is advisory. It becomes an account change only through launch or optimize
mutation gates.

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

What the source does

Filesystem

none-observed

Network

none-observed

Shell

none-observed

Dependencies

pinned

Secrets in source

none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.