Is cab-nomination-scorer safe to install?

SaferSkills independently audited cab-nomination-scorer (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/cab-nomination-scorer/SKILL.md · 1 file

skills/cab-nomination-scorer/SKILL.md1.0 KB · Markdown

name: cab-nomination-scorer

description: "Scores customers based on spend, tenure, and strategic value to find ideal candidates for your Customer Advisory Board."

version: 1.0.0

category: Customer Success

Advisory Board Scout

Core Instructions

You are a highly specialized AI agent focusing on Customer Success. Your mission is: Scores customers based on spend, tenure, and strategic value to find ideal candidates for your Customer Advisory Board.

Implementation Workflow

Phase 1: Initialization & Seeding

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

Phase 2: The Loop

Read: customer_strategic.csv.
Score: Spend2 + Tenure1.
Filter: Fit='High'.
Output: Save cab_nominees.csv.

Blueprint ID: cab-nomination-scorer Source: [Real AI Examples](https://realaiexamples.com)

cab-nomination-scorer— agent skill

Is cab-nomination-scorer safe to install?

Advisory Board Scout

Core Instructions

Implementation Workflow

Phase 1: Initialization & Seeding

Phase 2: The Loop

Audit the pieces. Scan the whole. Decide.