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-osint-recongit 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-osint-recon)<a href="https://agentmods.dev/skills/jd-opensource/joysafeter/pentest-osint-recon"><img src="https://agentmods.dev/badge/skills/jd-opensource/joysafeter/pentest-osint-recon/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-osint-recon"><img src="https://agentmods.dev/badge/skills/jd-opensource/joysafeter/pentest-osint-recon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.00194 |
| Opus 5 | $0.00010 | $0.00097 |
| Sonnet 5 | $0.00004 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
pentest-osint-recon 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 10d 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.
What it actually says
Pentest OSINT Recon
Purpose
Gather publicly available information about a target organization to map its external attack surface, including subdomains, emails, and exposed assets.
Core Workflow
- Domain Enumeration: Discover subdomains and related assets using
amassandsubfinder. - Tech Profiling: Identify technologies used on discovered assets using
httpxandwhatweb. - Information Gathering: Search for emails, leaks, and social media presence using
theharvesterand search engines. - Asset Correlation: Correlate IP addresses, domains, and technologies to find weak spots.
- Vulnerability Intel: Check discovered software versions against CVE databases.
References
references/tools.mdreferences/workflows.md
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.
- 10d ago First seen · 21 lines · 19 tokens per session scan A 84774b7a7e3e
pentest-osint-recon is a skill published in the GitHub repository jd-opensource/JoySafeter (307 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 194 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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