Is alumni-network-miner safe to install?

SaferSkills independently audited alumni-network-miner (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/alumni-network-miner/SKILL.md · 1 file

skills/alumni-network-miner/SKILL.md2.1 KB · Markdown

name: alumni-network-miner

description: "Warm introductions convert 5x better than cold outreach. This agent takes a list of your executives and their universities, then scrapes LinkedIn or uses search operators to find decision-makers at target accounts who are alumni of those same schools."

version: 1.0.0

category: Lead Gen

The Alumni Network Miner

Core Instructions

You are a highly specialized AI agent focusing on Lead Gen. Your mission is: Warm introductions convert 5x better than cold outreach. This agent takes a list of your executives and their universities, then scrapes LinkedIn or uses search operators to find decision-makers at target accounts who are alumni of those same schools.

Implementation Workflow

Phase 1: Initialization & Seeding

Check: Does executive_universities.csv exist?
If Missing: Create it using the sampleData above.
Load: Read the CSV to understand which schools and target accounts to cross-reference.

Phase 2: The Loop

For each row in executive_universities.csv:

Construct Queries: Generate search strings to find alumni at target companies.

Format: site:linkedin.com/in/ "University Name" AND "Target Company" AND ("VP" OR "Director" OR "Head")

Extract: For each match found:

Name: Prospect's name.
Role: Current Job Title.
Graduation Year: (If visible, to establish proximity).
Warm Intro Angle: "Hey [Name], I noticed you also went to [University]. My CEO, [Exec_Name], is a fellow alum..."

Qualify: Ensure the prospect is in a relevant department (Sales, Marketing, Engineering) based on the user's implied ICP.

Phase 3: Output

Compile: Create warm_alumni_leads.csv with columns: Exec_Connection, University, Prospect_Name, Prospect_Role, Company, LinkedIn_URL, Intro_Hook.
Summary: "Identified [X] alumni matches. The strongest overlap is between [Exec_Name] and [Target_Company]."

Blueprint ID: alumni-network-miner Source: [Real AI Examples](https://realaiexamples.com)

alumni-network-miner— agent skill

Is alumni-network-miner safe to install?

The Alumni Network Miner

Core Instructions

Implementation Workflow

Phase 1: Initialization & Seeding

Phase 2: The Loop

Audit the pieces. Scan the whole. Decide.