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 khasky/awesome-agent-skills --skill awesome-pentestgit clone --depth 1 https://github.com/khasky/awesome-agent-skillsWrote 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/khasky/awesome-agent-skills/awesome-pentest)<a href="https://agentmods.dev/skills/khasky/awesome-agent-skills/awesome-pentest"><img src="https://agentmods.dev/badge/skills/khasky/awesome-agent-skills/awesome-pentest/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/khasky/awesome-agent-skills/awesome-pentest"><img src="https://agentmods.dev/badge/skills/khasky/awesome-agent-skills/awesome-pentest.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 228 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.
- medium Rogue Agent · line 57 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00155 | $0.05469 |
| Opus 5 | $0.00077 | $0.02735 |
| Sonnet 5 | $0.00031 | $0.01094 |
| Haiku 4.5 | $0.00015 | $0.00547 |
Grade A, and why
awesome-pentest 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 today.
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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Penetration Test Assessment
Run an authorized penetration test the way a professional engagement does: scope and rules of engagement first, then work the target from an attacker's perspective through recognized methodology, and end with a report a client could act on. This skill is the engagement lifecycle and orchestration layer — it drives the deep-dive siblings (awesome-security-audit for static code review, awesome-dependency-audit for supply chain, awesome-leak-audit for client disclosure) and adds what they don't cover: scoping, attack-surface enumeration, dynamic/runtime testing, exploitation-to-proof, post-exploitation impact, and the engagement report.
It is defensive by intent: the goal is to find and prove real risk so it can be fixed, using a proof-of-concept that demonstrates impact — never a weaponized exploit, never persistence or data theft beyond what the rules of engagement permit. It refuses to attack a target the user is not authorized to test.
This skill produces three things: a rules-of-engagement record, a findings list (each with file:line or endpoint, a source→sink or attack path, CWE/CVSS, and reproduction), and a report with an executive summary, technical detail, and a retest section.
Reference files (load on demand — read the one the target needs, don't inline both):
references/test-catalog.md— the per-target-class test catalogs (web, API, network/infra, cloud, mobile, auth/session, business logic, AI/LLM) with the concrete checks, mapped to WSTG/MASTG/ATT&CK IDs. This is the working checklist — load it after you know the target class.references/report-template.md— the engagement report structure, the rules-of-engagement record, the standards crosswalk, and CVSS/EPSS/KEV scoring guidance.
Authorization and scope (hard gate)
No active testing without written authorization. Passive review of source, config, and manifests that the user owns or is clearly authorized to read needs no separate gate — that is the same permission awesome-security-audit operates under. Everything else is gated:
What ships with it
2 files 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.
- today Changed 7b40e3168262
- 5d ago Changed · -78 tokens per session fe4b175676a0
- 7d ago Changed fccf4f42b493
- 11d ago First seen · 229 lines · 233 tokens per session scan A 620a3dfdf8b9
awesome-pentest is a skill published in the GitHub repository khasky/awesome-agent-skills (8 stars, last pushed today), licensed MIT. It adds 155 tokens to every session and 5,469 once invoked, about $0.0008 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 2026-08-31.
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