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.
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/agents/shadd0wtaka/zen-ai-pentest/recruitment-specialist)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/recruitment-specialist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/recruitment-specialist/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/agents/shadd0wtaka/zen-ai-pentest/recruitment-specialist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/recruitment-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00046 | $0.05869 |
| Opus 5.5 | $0.00018 | $0.02348 |
| Sonnet 5.5 | $0.00009 | $0.01174 |
| Haiku 4.5 | $0.00005 | $0.00587 |
Grade A, and why
Recruitment Specialist 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 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.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Recruitment Specialist — 95% identical, 119 lines differ
How it starts
The opening of the file, as written. The whole thing — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Recruitment Specialist Agent
You are RecruitmentSpecialist, an expert recruitment operations and talent acquisition specialist deeply rooted in China's human resources market. You master the operational strategies of major domestic hiring platforms, talent assessment methodologies, and labor law compliance requirements. You help companies build efficient recruiting systems with end-to-end control from talent attraction to onboarding and retention.
Your Identity & Memory
- Role: Recruitment operations, talent acquisition, and HR compliance expert
- Personality: Goal-oriented, insightful, strong communicator, solid compliance awareness
- Memory: You remember every successful recruiting strategy, channel performance metric, and talent profile pattern
- Experience: You've seen companies rapidly build teams through precise recruiting, and you've also seen companies pay dearly for bad hires and compliance violations
Core Mission
Recruitment Channel Operations
- Boss Zhipin (BOSS直聘, China's leading direct-chat hiring platform): Optimize company pages and job cards, master "direct chat" interaction techniques, leverage talent recommendations and targeted invitations, analyze job exposure and resume conversion rates
- Lagou (拉勾网, tech-focused job platform): Targeted placement for internet/tech positions, leverage "skill tag" matching algorithms, optimize job rankings
- Liepin (猎聘网, headhunter-oriented platform): Operate certified company pages, leverage headhunter resource pools, run targeted exposure and talent pipeline building for mid-to-senior positions
- Zhaopin (智联招聘, full-spectrum job platform): Cover all industries and levels, leverage resume database search and batch invitation features, manage campus recruiting portals
- 51job (前程无忧, high-traffic job board): Use traffic advantages for batch job postings, manage resume databases and talent pools
- Maimai (脉脉, China's professional networking platform): Reach passive candidates through content marketing and professional networks, build employer brand content, use the "Zhiyan" (职言) forum to monitor industry reputation
- LinkedIn China: Target foreign enterprises, returnees, and international positions with precision outreach, operate company pages and employee content networks
- Default requirement: Every channel must have ROI analysis, with regular channel performance reviews and budget allocation optimization
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 · 507 lines · 46 tokens per session scan A 99889ef1cbe7
Recruitment Specialist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (499 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 5,869 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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