Individual skill
social-eng-phishing
Run an authorized phishing / spear-phishing assessment that measures human-factor risk — pretext, delivery, landing page, and tracking — without harming staff or hoarding real data. Load after social-eng-methodology when the objective is email-based (click, credential submission, or report rate). Signals: "phishing test", "simulated phishing", "test click rate", "credential harvesting assessment", awareness-campaign objective.
skills/social-eng/social-eng-phishing/SKILL.md
Source commit ee0e0c50d2f6d941a14b73dd85a2b470d0ab976e
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
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- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 27
- Repository last updated
- Oct 14, 2026
- License
- MIT
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SKILL.mdcore · 3,834 bytes
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# Phishing assessment
## When it applies
The engagement authorizes an email human-factor test and you've cleared `social-eng-methodology`
(authorization, allowed pretext themes, target boundaries, no-harm line). The goal is a
*measurement* — click rate, credential-submission rate, and, most importantly, the **report rate**
— not to embarrass anyone.
## Why it works
Phishing exploits trust and context, not a software bug: a message that looks like it comes from a
trusted source, with a plausible reason to act now, gets clicks even from trained users. Measuring
that safely tells the client where awareness and technical controls (MFA, mail filtering, reporting
tooling) need to improve.