Atlas / Skills / agricidaniel / Ads Photoshoot

Ads PhotoshootSAFE

skills/agricidaniel/ads-photoshoot

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.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
9,768
01

Overview

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.

Read from source at commit e86534039e71OBSERVED · 2026-10-07
02

What it tells the agent

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-photoshoot
description: "Generate rights-cleared paid-ad product photography variants from an authorized source image and validated brand profile. Triggers on: product photo, product photography, virtual photoshoot, photoshoot, enhance product image, studio shot, lifestyle shot, lifestyle product image, floating product image, ingredient shot."
---

# Product Photography Variants

1. Confirm rights to the product image and collect the validated brand profile,
   product facts, intended placements, provider capability, cost ceiling, and output
   root.
2. Preserve product geometry, packaging, logos, labels, color, and material unless
   the operator explicitly approves a change.
3. Define distinct production hypotheses such as studio, contextual use, ingredient
   story, scale/detail, or lifestyle; do not imply unsupported product outcomes.
4. Generate approved aspect ratios and record source hashes, prompt version,
   provider/model, cost, output hashes, and dimensions.
5. Validate product fidelity, visual defects, safe zones, accessibility, and policy.
6. Store assets and manifest atomically inside the run directory.

Human review is mandatory. Do not create deceptive before/after evidence, people or
endorsements without authorization, or regulated claims from visual implication.
03

Trust audit

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.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

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.

Audited 2026-10-07 · audit v0.4.1 · source sha e86534039e71full audit observations/trust-audit/skill/agricidaniel__ads-photoshoot.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-07e86534039e71SAFEB89first audit
05

Questions

What does the Ads Photoshoot skill do?

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.

Is Ads Photoshoot safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Ads Photoshoot access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (e86534039e71), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.

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