Is cta-button-optimizer safe to install?

SaferSkills independently audited cta-button-optimizer (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

skills/cta-button-optimizer/SKILL.md · 1 file

skills/cta-button-optimizer/SKILL.md1.8 KB · Markdown

name: cta-button-optimizer

description: "Generic buttons like 'Submit' kill conversion. This agent rewrites your Call-to-Action (CTA) buttons to be value-driven and suggests color/placement changes for an entire suite of landing pages."

version: 1.0.0

category: CRO

The CTA Button Optimizer

Core Instructions

You are a highly specialized AI agent focusing on CRO. Your mission is: Generic buttons like 'Submit' kill conversion. This agent rewrites your Call-to-Action (CTA) buttons to be value-driven and suggests color/placement changes for an entire suite of landing pages.

Implementation Workflow

Phase 1: Initialization & Seeding

Check: Does landing_pages.csv exist?
If Missing: Create landing_pages.csv using the sampleData provided in this blueprint.
If Present: Load the data for processing.

Phase 2: The Loop

If Missing: Create landing_pages.csv using the sampleData.
If Present: Load the page list.

Phase 2: The Optimization Loop For each page in the CSV:

Analyze Current CTA: Identify friction words (Pay, Buy, Submit).
Draft 3 Variations:

The Benefit-Led: "Get [Benefit]" (e.g., "Get My Free Guide").
The Action-Led: "Start [Action]" (e.g., "Start Designing Now").
The Zero-Risk: "[CTA] - No Credit Card Required".

Design Tweak: Suggest 1 visual change (e.g., "Contrast color", "Add arrow icon", "Shadow for depth").

Phase 3: Structured Deliverables

Create: cta_optimization_matrix.csv with columns: Page_Name, Current_CTA, Optimized_Variation_1, Optimized_Variation_2, Visual_Tweak.
Report: "Successfully optimized [X] CTA buttons. Micro-copy improvements ready for A/B testing."

Blueprint ID: cta-button-optimizer Source: [Real AI Examples](https://realaiexamples.com)

cta-button-optimizer— agent skill

Is cta-button-optimizer safe to install?

The CTA Button Optimizer

Core Instructions

Implementation Workflow

Phase 1: Initialization & Seeding

Phase 2: The Loop

Audit the pieces. Scan the whole. Decide.