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 jd-opensource/JoySafeter --skill pentest-enterprise-webgit clone --depth 1 https://github.com/jd-opensource/JoySafeterWrote 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/jd-opensource/joysafeter/pentest-enterprise-web)<a href="https://agentmods.dev/skills/jd-opensource/joysafeter/pentest-enterprise-web"><img src="https://agentmods.dev/badge/skills/jd-opensource/joysafeter/pentest-enterprise-web.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 37 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 | $0.00023 | $0.01059 |
| Opus 5 | $0.00012 | $0.00530 |
| Sonnet 5 | $0.00005 | $0.00212 |
| Haiku 4.5 | $0.00002 | $0.00106 |
Grade A, and why
seclens-enterprise-web 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 8d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pentest Enterprise Web
Purpose
Perform comprehensive vulnerability assessments on web applications and APIs (REST/GraphQL) to identify security flaws, logic errors, and compliance issues.
Prerequisites
Authorization Requirements
- Written authorization (scope document signed by asset owner)
- Target environment classification: Internal / External / Hybrid
- Rules of Engagement: Testing hours, notification procedures, emergency contacts
Evasion Profile Selection
| Profile | Use Case | Characteristics |
|---|---|---|
| Quiet | Production systems, WAF-protected targets | Low request rate, header rotation, timing jitter |
| Standard | Staging environments, time-limited tests | Balanced speed/stealth |
| Aggressive | Internal networks, comprehensive coverage | Maximum parallelism, full payloads |
Environment Setup
- Docker container with
network_mode: hostfor complete network access - Volume mount for persistent reports:
./reports:/data - Minimum 4GB RAM allocated
Core Workflow
- Scope & Recon: Identify target scope, technologies, and entry points using
httpxandwhatweb. - Content Discovery: Enumerate endpoints, hidden directories, and API routes using
dirsearch,ffuf, andkatana. - Vulnerability Scanning: Automated scanning for common flaws (XSS, SQLi, CVEs) using
nucleiandnikto. - Authentication Testing: Test login flows, JWT handling, session management, MFA bypass vectors.
- Business Logic Testing: Manual testing for price manipulation, race conditions, IDOR, workflow bypass.
- Dependency Scanning: Analyze third-party components for known CVEs using
pip-audit,trivy. - Manual Verification: Verify automated findings and test complex business logic using
burpsuiteorzap. - Exploitation (Safe): Demonstrate impact of critical findings (e.g., SQLi, RCE) using
sqlmapor custom scripts. - Reporting: Aggregate findings into structured report using
references/report-template.md.
What ships with it
12 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.
- compose.yaml 315 B
- configs/amass.yaml 435 B
- configs/httpx.yaml 98 B
- configs/katana.yaml 132 B
- configs/naabu.yaml 72 B
- configs/nuclei.yaml 244 B
- configs/subfinder.yaml 433 B
- Dockerfile 5.3 KB
- entrypoint.sh 689 B runs code
- references/report-template.md 2.9 KB
- references/tools.md 7.9 KB
- references/workflows.md 3.5 KB
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.
- 8d ago First seen · 75 lines · 23 tokens per session scan A e9a1abab03d8
seclens-enterprise-web is a skill published in the GitHub repository jd-opensource/JoySafeter (306 stars, last pushed 3d ago), licensed Apache-2.0. It adds 23 tokens to every session and 1,059 once invoked, about $0.0001 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 2026-08-30.
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