social-engineering
Skill2 starsChanged 47 days agoMITView on GitHub
Use when planning or running an AUTHORIZED social-engineering assessment — phishing/spear-phishing simulations, vishing, pretext design, and security-awareness measurement — as part of a sanctioned engagement. Covers scoping, campaign design, safe execution, metrics, and awareness remediation. Strictly for authorized, consented programs; never for deceiving people outside an approved engagement.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- Kur1sulab/blackboxtheir own version, first seen Aug 12, 2026
- wgpsec/AboutSecuritytheir own version, first seen May 21, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- wgpsec/AboutSecurity★ 1.8ksame name
- Kur1sulab/blackbox★ 3same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository25 other files it gives its agents.
- active-directory-pentestSkill
- agentic-ai-securitySkill
- api-secure-designSkill
- api-security-auditSkill
- cicd-supplychain-securitySkill
- cloud-pentestSkill
- container-k8s-pentestSkill
- detection-engineeringSkill
- entra-cloud-pentestSkill
- iot-embedded-pentestSkill
- llm-app-defenseSkill
- llm-redteamSkill
- mobile-pentestSkill
- network-device-pentestSkill
- network-pentestSkill
- post-exploitationSkill
- privilege-escalationSkill
- recon-osintSkill
- red-team-opsSkill
- report-writingSkill
- source-code-reviewSkill
- threat-modelSkill
- vuln-chainingSkill
- web-app-pentestSkill
- wireless-pentestSkill
The file
Files
Social Engineering (Authorized Assessment)
Methodology for sanctioned human-layer testing that measures and improves an organization's resilience to social attacks. This is about strengthening the workforce — every action requires organizational authorization and follows agreed rules that protect employees.
0. Authorization & ethics gate (mandatory)
- Written authorization from an executive sponsor who can consent on the org's behalf.
- Defined scope: which groups, channels (email/phone/SMS), and pretext limits.
- Employee-protection rules: no capturing real passwords into attacker-held stores, no lasting harm, no coercion/harassment, no sensitive-topic lures (medical, layoffs, etc.) unless explicitly agreed.
- Data handling: PII minimization, secure storage, defined retention/deletion.
- Legal/HR review and a debrief/awareness plan for participants.
This skill is for programs where the target organization consents. It must not be used to deceive individuals outside such a program.
1. Recon (for realism, within scope)
- Public info that a real attacker would use: email formats, org structure, tech/vendors, current events (from
recon-osint). Keep pretexts plausible but non-harmful.
2. Campaign design
- Objective: measure click / credential-submit / report rates, or test a specific control (e.g., MFA prompt handling), not to "catch" individuals.
- Pretext: believable, within agreed sensitivity limits.
- Landing pages: training-oriented; if credentials are entered, do not store real passwords — record the event, then redirect to just-in-time training.
- Segmentation: track by group for awareness metrics, not individual punishment.
3. Channels
- Phishing/spear-phishing (email), vishing (phone), smishing (SMS), pretext calls — only those in scope. Use sending infrastructure and templates you control.
4. Safe execution
- Coordinate with the sponsor and (as agreed) the SOC to avoid a real incident response burn.
- Include an internal identifier so the blue team can distinguish the simulation.
- Provide an easy "report phishing" path and measure reporting as a positive metric.
5. Metrics & remediation
- Report aggregate rates: delivered, opened, clicked, submitted, reported, time-to-report.
- Deliver awareness training tied to results; re-test to show improvement.
- Recommend technical controls that reduce human risk: phishing-resistant MFA, email authentication (SPF/DKIM/DMARC), attachment/link protection, and reporting tooling.
6. Reporting
Aggregate metrics + trends + recommended controls and training. Never single out individuals for blame. Checklist: references/se-checklist.md.
<sub>© 2026 noahfranklin · Part of the Gideon security suite · MIT License · Original work.</sub>
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

