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 transilienceai/communitytools --skill social-engineeringgit clone --depth 1 https://github.com/transilienceai/communitytoolsWrote 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/transilienceai/communitytools/social-engineering)<a href="https://agentmods.dev/skills/transilienceai/communitytools/social-engineering"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/social-engineering.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 2 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00023 | $0.00162 |
| Opus 5 | $0.00012 | $0.00081 |
| Sonnet 5 | $0.00005 | $0.00032 |
| Haiku 4.5 | $0.00002 | $0.00016 |
Grade A, and why
social-engineering 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 8d 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.
What it actually says
Social Engineering
Test human-factor security through authorized social engineering campaigns.
Techniques
- Phishing - Email campaigns, spear phishing, credential harvesting
- Pretexting - Scenario-based manipulation, impersonation
- Vishing - Voice-based social engineering
- Physical - Tailgating, badge cloning, dumpster diving
Workflow
- Define campaign scope and authorization
- Develop pretexts and materials
- Execute campaign with tracking
- Measure success rates and capture evidence
- Report findings with awareness recommendations
Reference
reference/social-engineering.md- Social engineering techniques and methodologies
What ships with it
12 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.
- reference/scenarios/phishing/business-email-compromise.md 2.9 KB
- reference/scenarios/phishing/email-phishing.md 3.0 KB
- reference/scenarios/phishing/smishing.md 2.4 KB
- reference/scenarios/phishing/watering-hole.md 1.8 KB
- reference/scenarios/physical/badge-cloning.md 2.1 KB
- reference/scenarios/physical/dumpster-diving.md 2.2 KB
- reference/scenarios/physical/shoulder-surfing.md 2.1 KB
- reference/scenarios/physical/tailgating.md 2.0 KB
- reference/scenarios/physical/usb-drop-baiting.md 2.4 KB
- reference/scenarios/pretexting/pretexting.md 3.9 KB
- reference/scenarios/vishing/voice-phishing.md 2.7 KB
- reference/social-engineering.md 4.2 KB
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.
- 8d ago First seen · 28 lines · 23 tokens per session scan A 4ad34230eb22
social-engineering is a skill published in the GitHub repository transilienceai/communitytools (511 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 162 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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pentest-playbook
7-phase pentest pipeline from passive recon to exploitation.
web2-recon
Web2 recon pipeline — subdomain enumeration (subfinder, Chaos API, assetfinder), live host discovery (dnsx, httpx), URL crawling (katana, waybackurls, gau), directory fuzzing (ffuf), JS analysis (LinkFinder, SecretFinder), continuous monitoring (new subdomain alerts, JS change detection, GitHub commit watch). Use when…
security-expert
Expert-level application security, OWASP Top 10, penetration testing, and security best practices. Use when the user mentions OWASP, pentesting, appsec, vulnerability, encryption, or authentication, or when the task involves Security Principles, OWASP Top 10, Security Domains, or Broken Access Control.