conducting-social-engineering-penetration-test

conducting-social-engineering-penetration-test is a skill for Claude Code, Codex from Youngmaidainon/Agent-Level-Up. It costs 87 tokens per session (2,840 once invoked), scanned A, original, MIT.

A guide to running an authorized social-engineering penetration test, which safely simulates deception such as phishing emails, phone scams, text messages, or physical pretexts.

In plain words
What is it for?
Use it to plan targets and scope, build campaigns with tools such as GoPhish or SET, and assess human security practices.
Why use it?
It measures how well an organisation's people and controls handle realistic attempts to trick them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan targets and scope, build campaigns with tools such as GoPhish or SET, and assess human security practices.

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Install with agentmods
npx agentmods add skills/youngmaidainon/agent-level-up/conducting-social-engineering-penetration-test
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Youngmaidainon/Agent-Level-Up --skill conducting-social-engineering-penetration-test
Clone the repo
git clone --depth 1 https://github.com/Youngmaidainon/Agent-Level-Up

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for conducting-social-engineering-penetration-test

README.md
[![agentmods](https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/conducting-social-engineering-penetration-test/github.svg)](https://agentmods.dev/skills/youngmaidainon/agent-level-up/conducting-social-engineering-penetration-test)
Your own site
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/conducting-social-engineering-penetration-test"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/conducting-social-engineering-penetration-test/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for conducting-social-engineering-penetration-test

Your own site · 80×15
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/conducting-social-engineering-penetration-test"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/conducting-social-engineering-penetration-test.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,840 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.02840
Opus 5 $0.00044 $0.01420
Sonnet 5 $0.00017 $0.00568
Haiku 4.5 $0.00009 $0.00284

Measured 8d ago against content hash cb4100b0aaad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

conducting-social-engineering-penetration-test scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/agent.py, scripts/process.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootlowPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt install gophish

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

cyber-security/ctf/conducting-social-engineering-penetration-test/SKILL.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conducting Social Engineering Penetration Test

Overview

Social engineering penetration testing assesses an organization's human attack surface through controlled simulation of real-world deception techniques. According to Verizon DBIR 2024, the human element is involved in approximately 68% of all breaches, with phishing remaining the dominant initial access vector. This skill covers phishing, vishing (voice phishing), smishing (SMS phishing), and physical pretexting campaigns using tools like GoPhish, the Social Engineer Toolkit (SET), and Evilginx.

When to Use

  • When conducting security assessments that involve conducting social engineering penetration test
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Written authorization from senior management (CISO/CTO)
  • Legal review confirming compliance with local laws (CFAA, GDPR, etc.)
  • Defined scope: target employee groups, attack types, exclusions
  • GoPhish server, domain for phishing infrastructure, VPS
  • OSINT tools: Maltego, theHarvester, LinkedIn scraping tools
  • Coordination with HR and Legal for employee notification post-test

Phase 1 — OSINT and Target Profiling

Employee Reconnaissance

# Email harvesting
theHarvester -d targetcorp.com -b all -l 500 -f harvester_results

# LinkedIn OSINT (manual + tools)
# Gather: names, roles, departments, email format
# Identify: new hires, IT admins, finance team, executives

# Email format discovery
# Check: first.last@, flast@, firstl@
# Verify with: hunter.io, phonebook.cz, email-checker.net

# Social media OSINT
# Twitter/X: employees posting about work tools/frustrations
# Facebook: corporate event photos, office layout
# GitHub: employee repos with corporate email addresses

# Domain intelligence
dig targetcorp.com MX +short
dig targetcorp.com TXT +short
# Check for SPF, DKIM, DMARC records
# Weak DMARC = easier email spoofing

# Check breach databases (authorized)
# HaveIBeenPwned API for corporate emails
# Identify employees with compromised credentials

Read the full file on GitHub · 371 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 371 lines · 87 tokens per session scan A cb4100b0aaad

Subscribe to this mod's changes

conducting-social-engineering-penetration-test is a skill published in the GitHub repository Youngmaidainon/Agent-Level-Up (3 stars, last pushed 18d ago), licensed MIT. It adds 87 tokens to every session and 2,840 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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