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.
npx skills add HermeticOrmus/LibreSecOps-Claude-Code --skill social-engineering-attacksgit clone --depth 1 https://github.com/HermeticOrmus/LibreSecOps-Claude-CodeWrote 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.
[](https://agentmods.dev/skills/hermeticormus/libresecops-claude-code/social-engineering-attacks)<a href="https://agentmods.dev/skills/hermeticormus/libresecops-claude-code/social-engineering-attacks"><img src="https://agentmods.dev/badge/skills/hermeticormus/libresecops-claude-code/social-engineering-attacks/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.
<a href="https://agentmods.dev/skills/hermeticormus/libresecops-claude-code/social-engineering-attacks"><img src="https://agentmods.dev/badge/skills/hermeticormus/libresecops-claude-code/social-engineering-attacks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.01952 |
| Opus 5.5 | $0.00022 | $0.00781 |
| Sonnet 5.5 | $0.00011 | $0.00390 |
| Haiku 4.5 | $0.00006 | $0.00195 |
Grade A, and why
social-engineering-attacks scanned grade A with 0 findings 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 12d ago.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Engineering Attacks
Comprehensive taxonomy of social engineering attack types with psychological mechanisms, technical indicators, real-world case studies, and detection patterns.
Knowledge Base
Attack Categories
Social engineering attacks can be categorized by delivery channel, targeting level, and objective.
By delivery channel:
| Channel | Attack Types | Scale | Detection Difficulty |
|---|---|---|---|
| Phishing, spear phishing, BEC, lateral phishing | Mass to targeted | Low to High | |
| Voice | Vishing, callback scams, deepfake calls | Targeted | High |
| SMS/Messaging | Smishing, WhatsApp/Signal phishing, MFA interception | Mass to targeted | Medium |
| Web | Watering hole, malvertising, fake login pages | Mass to targeted | Medium |
| Physical | Tailgating, impersonation, USB drops, dumpster diving | Targeted | High |
| Social media | Profile impersonation, romance scams, fake recruiters | Targeted | High |
By targeting level:
| Level | Name | Characteristics | Example |
|---|---|---|---|
| 0 | Spray and pray | No targeting, generic, volume-based | "Dear user, your account has been locked" |
| 1 | Industry targeting | Same template sent to a specific industry | Fake invoice to accounting departments |
| 2 | Organization targeting | Customized for a specific company | Email spoofing the company's IT department |
| 3 | Role targeting | Tailored to a specific role within the org | Fake wire transfer request to CFO |
| 4 | Individual targeting | Deeply researched, personal details | References actual projects, colleagues, events |
| 5 | Multi-channel | Combined email + phone + physical | Email + follow-up call + fake badge |
Detailed Attack Profiles
Business Email Compromise (BEC) -- FBI IC3 most costly cybercrime category
BEC is not traditional phishing. It rarely uses malware or malicious links. Instead, it manipulates business processes through impersonation and authority.
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.
- 12d ago Changed · +5 lines · +55 tokens per session cd24a97b9c96
- 1mo ago First seen · 160 lines · 0 tokens per session scan A b0d614374336
social-engineering-attacks is a skill published in the GitHub repository HermeticOrmus/LibreSecOps-Claude-Code (4 stars, last pushed 9d ago), licensed MIT. It adds 55 tokens to every session and 1,952 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
implementing-devsecops-security-scanning
Integrates Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Software Composition Analysis (SCA) into CI/CD pipelines using open-source tools. Covers Semgrep for SAST, Trivy for SCA and container scanning, OWASP ZAP for DAST, and Gitleaks for secrets detection. Activates for…
building-devsecops-pipeline-with-gitlab-ci
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.
integrating-dast-with-owasp-zap-in-pipeline
This skill covers integrating OWASP ZAP (Zed Attack Proxy) for Dynamic Application Security Testing in CI/CD pipelines. It addresses configuring baseline, full, and API scans against running applications, interpreting ZAP findings, tuning scan policies, and establishing DAST quality gates in GitHub Actions and GitLab…
implementing-runtime-application-self-protection
Deploy Runtime Application Self-Protection (RASP) agents to detect and block attacks from within application runtime, covering OpenRASP integration, attack pattern detection, and security policy configuration for Java and Python web applications.
integrating-dast-with-owasp-zap-in-pipeline
This skill covers integrating OWASP ZAP (Zed Attack Proxy) for Dynamic Application Security Testing in CI/CD pipelines. It addresses configuring baseline, full, and API scans against running applications, interpreting ZAP findings, tuning scan policies, and establishing DAST quality gates in GitHub Actions and GitLab…
audit-production-readiness
Audit a repository or service for release-blocking bugs, security, data/privacy, AI-agent, supply-chain, operability, and scale risks. Use for deep code audits, threat models, pre-production reviews, vulnerability triage, incidents, defensive investigation, release gates, or evidence-based 10k-to-1M-user readiness.