external/anthropic-cybersecurity-skills/skills/performing-red-team-phishing-with-gophish/SKILL.md
Automate GoPhish phishing simulation campaigns using the Python gophish library. Creates email templates with tracking pixels, configures SMTP sending profiles, builds target groups from CSV, launches campaigns, and analyzes results including open rates, click rates, and credential submission statistics for security awareness assessment.
npx skillsauth add seikaikyo/dash-skills performing-red-team-phishing-with-gophishInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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pip install gophish requests# For authorized penetration testing and lab environments only
python scripts/agent.py --gophish-url https://localhost:3333 --api-key <key> --campaign-name "Q1 Awareness" --output phishing_report.json
from gophish import Gophish
from gophish.models import Campaign, Template, Group, SMTP, Page
api = Gophish("api_key", host="https://localhost:3333", verify=False) # Self-signed cert on localhost lab
campaign = Campaign(name="Q1 Test", groups=[Group(name="Sales Team")],
template=Template(name="IT Password Reset"), smtp=SMTP(name="Internal SMTP"),
page=Page(name="Credential Page"))
api.campaigns.post(campaign)
development
拋棄式 HTML mockup 比稿:產出 2 到 3 個設計立場不同的變體(密度 / 版式 / 強調軸,不是換色),各附取捨說明,最後給有立場的對比結論。適用:「畫個草圖」「比較 A 版 B 版」「先看方向再做」「給我看幾種做法」。要 production 元件或設計已定案時不適用。
tools
需求不明時的意圖萃取訪談:一次一題、每題附上自己的猜測、聽出「真正想要 vs 覺得應該要」,直到能預測使用者反應(約 95% 信心)才動工。適用:需求缺少對象 / 動機 / 成功標準 / 約束,或使用者點名「訪談我」「先確認一下」「我們確定嗎」。明確自足的指示、純資訊查詢、機械性操作不適用。
development
對非平凡決策啟動新鮮 context 對抗審查(找碴不背書),在修正還便宜的時候抓出錯誤方向。適用:高風險改動(production、資安敏感邏輯、不可逆操作)、不熟的程式碼、要宣稱「這樣是安全的 / 可行的」之前。機械性操作與一行修改不適用。
testing
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