Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/trilwu/secskillsnpx agentmods add skills/trilwu/secskills/performing-social-engineeringWrote 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/trilwu/secskills/performing-social-engineering)<a href="https://agentmods.dev/skills/trilwu/secskills/performing-social-engineering"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/performing-social-engineering/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/trilwu/secskills/performing-social-engineering"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/performing-social-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to critical
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 →
- critical YARA Match · line 109 YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
- 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.
- high Prompt Injection · line 116 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Privilege Escalation · line 150 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Prompt Injection · line 363 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
- high Prompt Injection · line 424 This pattern attempts to override system instructions or ignore safety constraints. Without LLM analysis, manual review is recommended.Fix: Remove or rewrite any text that instructs the agent to ignore prompts, override safety rules, or trust unverified content. Ensure skill content cannot be injected to alter agent behavior.
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 | $0.00045 | $0.03344 |
| Opus 5 | $0.00023 | $0.01672 |
| Sonnet 5 | $0.00009 | $0.00669 |
| Haiku 4.5 | $0.00005 | $0.00334 |
Grade A, and why
performing-social-engineering scanned grade A with 1 finding 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 5d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
wget https://github.com/gophish/gophish/releases/download/v0.12.1/gophish-v0.12.1-linux-64bit.zip How it starts
The opening of the file, as written. The whole thing — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performing Social Engineering
When to Use
- Phishing campaign execution
- Credential harvesting operations
- Social engineering assessments
- Red team engagements
- Security awareness testing
When NOT to Use
- Any campaign without written authorization and a defined scope — stop
- Technical exploitation after a click — use the relevant post-exploitation skill
- Analyzing a phishing email you received — use
analyzing-phishing-emails(headers, links, attachments);analyzing-malwarefor a detonated payload
Phishing Infrastructure
Gophish (Phishing Framework)
# Install
wget https://github.com/gophish/gophish/releases/download/v0.12.1/gophish-v0.12.1-linux-64bit.zip
unzip gophish-v0.12.1-linux-64bit.zip
chmod +x gophish
./gophish
# Access web interface
https://localhost:3333
# Default: admin:gophish
Gophish Campaign Setup:
- Email Templates - Create convincing phishing emails
- Landing Pages - Clone legitimate sites for credential harvesting
- Sending Profiles - Configure SMTP server
- Groups - Import target user lists
- Campaign - Combine all elements and launch
SET (Social Engineering Toolkit)
# Launch SET
setoolkit
# Common modules:
# 1) Social-Engineering Attacks
# 1) Spear-Phishing Attack Vectors
# 2) Website Attack Vectors
# 3) Credential Harvester Attack Method
Credential Harvester:
# SET Menu:
# 1 -> 2 -> 3 (Credential Harvester)
# Choose site template or custom URL
# Enter attacker IP
# Hosts fake login page
# Captures credentials when submitted
Email Phishing
Email Spoofing
# sendEmail (simple SMTP client)
sendEmail -f [email protected] \
-t [email protected] \
-u "Urgent: Password Reset Required" \
-m "Click here to reset: http://evil.com/reset" \
-s smtp.server.com:25
# swaks (SMTP testing tool)
swaks --to [email protected] \
--from [email protected] \
--header "Subject: Important Update" \
--body "Please review: http://evil.com" \
--server smtp.company.com
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.
- 5d ago First seen · 477 lines · 45 tokens per session scan A 33c61be16713
performing-social-engineering is a skill published in the GitHub repository trilwu/secskills (137 stars, last pushed 4d ago), licensed MIT. It adds 45 tokens to every session and 3,344 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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