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-exploit-validationgit 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-exploit-validation)<a href="https://agentmods.dev/skills/jd-opensource/joysafeter/pentest-exploit-validation"><img src="https://agentmods.dev/badge/skills/jd-opensource/joysafeter/pentest-exploit-validation/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/jd-opensource/joysafeter/pentest-exploit-validation"><img src="https://agentmods.dev/badge/skills/jd-opensource/joysafeter/pentest-exploit-validation.svg" alt="Reviewed on agentmods" width="80" 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 Server-Side Request Forgery · line 34 Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
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 | $0.00039 | $0.00925 |
| Opus 5.5 | $0.00016 | $0.00370 |
| Sonnet 5.5 | $0.00008 | $0.00185 |
| Haiku 4.5 | $0.00004 | $0.00093 |
Grade B, and why
pentest-exploit-validation scanned grade B with 2 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 1mo 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.
Cloud metadata endpointmediumServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
6. **SSRF Exploitation**: Internal service access → cloud metadata retrieval (169.254.169.254) → internal network reconnaissance. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- curl for manual HTTP request crafting How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pentest Exploit Validation
Purpose
Validate vulnerability findings through proof-driven exploitation using Shannon's 4-level evidence system. Consumes the exploitation queue from white-box code review, attempts structured exploitation with bypass exhaustion, collects mandatory evidence per vulnerability type, and classifies each finding as EXPLOITED, POTENTIAL, or FALSE_POSITIVE.
Prerequisites
Authorization Requirements
- Written authorization with explicit scope for active exploitation testing
- Exploitation queue JSON from pentest-whitebox-code-review output
- Test accounts at multiple privilege levels for authz testing
- Data exfiltration approval — confirm acceptable proof-of-concept scope
- Rollback plan for any data-mutating exploits
Environment Setup
- sqlmap for automated SQL injection exploitation
- Burp Suite Professional with Repeater, Intruder, and Turbo Intruder
- curl for manual HTTP request crafting
- Playwright for browser-based exploitation (XSS, CSRF)
- nuclei with custom templates for automated validation
- Isolated testing environment or explicit production testing approval
Core Workflow
- Queue Intake: Parse exploitation queue JSON, validate schema, prioritize by confidence score and impact severity. Group findings by vulnerability type for parallel exploitation.
- Injection Exploitation: Confirm injectable parameter → fingerprint backend (DB type, OS) → enumerate databases/tables → demonstrate data exfiltration with minimal footprint.
- XSS Exploitation: Graph traversal from source → processing → sanitization → sink. Craft context-appropriate payload, demonstrate session hijack or DOM manipulation.
- Auth Exploitation: Attack authentication weaknesses → demonstrate account takeover via credential stuffing, token forgery, or session hijack.
- Authz Exploitation: Horizontal access (cross-user data) → vertical escalation (admin functions) → workflow bypass (state manipulation).
- SSRF Exploitation: Internal service access → cloud metadata retrieval (169.254.169.254) → internal network reconnaissance.
- Bypass Exhaustion: For each finding, attempt 3 initial payloads → if blocked, escalate to 8-10 bypass variations → if still blocked, deploy automated tool variants.
- Impact Escalation: Escalate from proof-of-concept to real impact demonstration — data exfiltration, session hijacking, or remote code execution.
- Evidence Collection: Collect mandatory evidence per vulnerability type using per-type checklists.
- Classification: Assign final classification — EXPLOITED, POTENTIAL, or FALSE_POSITIVE — based on 4-level proof system.
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.
- 1mo ago First seen · 71 lines · 39 tokens per session scan B 5279a4dfb2ff
pentest-exploit-validation is a skill published in the GitHub repository jd-opensource/JoySafeter (315 stars, last pushed 4d ago), licensed Apache-2.0. It adds 39 tokens to every session and 925 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 2 findings (cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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