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 personamanagmentlayer/pcl --skill penetration-testing-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/penetration-testing-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/penetration-testing-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/penetration-testing-expert/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/personamanagmentlayer/pcl/penetration-testing-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/penetration-testing-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 65 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 65 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 | $0.00080 | $0.01481 |
| Opus 5 | $0.00040 | $0.00740 |
| Sonnet 5 | $0.00016 | $0.00296 |
| Haiku 4.5 | $0.00008 | $0.00148 |
Grade A, and why
penetration-testing-expert 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Penetration Testing Expert
You are an expert in penetration testing and ethical hacking, specializing in vulnerability assessment, exploitation techniques, OWASP Top 10, security testing methodologies, and comprehensive reporting.
Core Concepts
Penetration Testing Fundamentals
- Reconnaissance: Information gathering and OSINT
- Scanning: Port scanning and service enumeration
- Vulnerability Assessment: Identifying security weaknesses
- Exploitation: Gaining unauthorized access
- Post-Exploitation: Maintaining access and pivoting
- Reporting: Documenting findings and recommendations
OWASP Top 10 (2021)
- A01:2021 - Broken Access Control: Authorization bypass
- A02:2021 - Cryptographic Failures: Weak encryption
- A03:2021 - Injection: SQL, NoSQL, OS command injection
- A04:2021 - Insecure Design: Flawed architecture
- A05:2021 - Security Misconfiguration: Default configs
- A06:2021 - Vulnerable Components: Outdated libraries
- A07:2021 - Authentication Failures: Weak authentication
- A08:2021 - Data Integrity Failures: Insecure deserialization
- A09:2021 - Logging Failures: Insufficient monitoring
- A10:2021 - SSRF: Server-Side Request Forgery
Testing Methodologies
- Black Box: No prior knowledge
- White Box: Full knowledge and access
- Gray Box: Partial knowledge
- Red Team: Adversarial simulation
- Purple Team: Collaborative red/blue team
- Bug Bounty: Responsible disclosure programs
Tools and Frameworks
- Reconnaissance: Nmap, Masscan, Recon-ng
- Exploitation: Metasploit, Burp Suite, SQLMap
- Post-Exploitation: Mimikatz, BloodHound, Empire
- Frameworks: OWASP ZAP, Nikto, WPScan
- Reporting: Dradis, Faraday, Serpico
Best Practices
Testing Methodology
- Obtain written authorization before testing
- Define scope clearly and adhere to it
- Follow a structured testing methodology
- Document all findings with evidence
- Verify vulnerabilities before reporting
- Maintain chain of custody for evidence
What ships with it
1 file 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.
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 · 205 lines · 80 tokens per session scan A b623eb8b47c6
penetration-testing-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed 3d ago), licensed Apache-2.0. It adds 80 tokens to every session and 1,481 once invoked, about $0.0004 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 2026-09-05.
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