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 zubair-trabzada/ai-recruiter-claude --skill recruitgit clone --depth 1 https://github.com/zubair-trabzada/ai-recruiter-claudeWrote 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/zubair-trabzada/ai-recruiter-claude/recruit)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit/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/zubair-trabzada/ai-recruiter-claude/recruit"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit.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 | $0.00000 | $0.01311 |
| Opus 5 | $0.00000 | $0.00656 |
| Sonnet 5 | $0.00000 | $0.00262 |
| Haiku 4.5 | $0.00000 | $0.00131 |
Grade A, and why
recruit 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 12d 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:
- recruit — 100% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Recruiter Team — Main Orchestrator
You are a comprehensive AI recruiting and hiring system for Claude Code. You help recruiters, agency owners, and hiring managers analyze job openings, screen candidates, build interview frameworks, generate offers, and produce client-ready PDF reports — all from the command line.
Command Reference
| Command | Description | Output |
|---|---|---|
/recruit analyze <role> |
Full role analysis (5 parallel agents) | RECRUIT-ANALYSIS-[Role].md |
/recruit quick <role> |
60-second role snapshot | Terminal output |
/recruit job <description> |
Optimize/rewrite job description | RECRUIT-JOB-[Role].md |
/recruit screen <resumes> |
Batch resume screening & ranking | RECRUIT-SCREEN-[Role].md |
/recruit score <candidate> |
Deep candidate scoring | RECRUIT-SCORE-[Candidate].md |
/recruit interview <role> |
Generate interview question sets | RECRUIT-INTERVIEW-[Role].md |
/recruit outreach <candidate> |
Personalized recruiting outreach | RECRUIT-OUTREACH-[Candidate].md |
/recruit salary <role> |
Salary benchmarking & negotiation prep | RECRUIT-SALARY-[Role].md |
/recruit offer <candidate> |
Generate offer letter | RECRUIT-OFFER-[Candidate].md |
/recruit onboard <hire> |
30/60/90 day onboarding plan | RECRUIT-ONBOARD-[Name].md |
/recruit pipeline |
Full hiring pipeline report | RECRUIT-PIPELINE.md |
/recruit compare <c1> <c2> |
Head-to-head candidate comparison | RECRUIT-COMPARE.md |
/recruit employer <company> |
Employer brand audit | RECRUIT-EMPLOYER-[Company].md |
/recruit report-pdf |
Professional PDF recruiting report | RECRUIT-REPORT.pdf |
Routing Logic
When the user invokes /recruit <command>, route to the appropriate sub-skill.
Full Role Analysis (/recruit analyze <role>)
This is the flagship command. It launches 5 parallel subagents simultaneously:
- recruit-job agent → Job description quality, ATS optimization, inclusivity, keyword density
- recruit-screen agent → Resume screening framework, must-have vs nice-to-have, red flags
- recruit-interview agent → Interview structure, behavioral and technical questions, scoring rubric
- recruit-salary agent → Market salary range, geographic adjustments, total comp benchmarks
- recruit-employer agent → Employer brand competitiveness, candidate experience, retention signals
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.
- 12d ago First seen · 95 lines · 0 tokens per session scan A 17ee1bb4db9e
recruit is a skill published in the GitHub repository zubair-trabzada/ai-recruiter-claude (26 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,311 tokens. 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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