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 tal7aouy/RecruitKit --skill recruit-analyzegit clone --depth 1 https://github.com/tal7aouy/RecruitKitWrote 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/tal7aouy/recruitkit/recruit-analyze)<a href="https://agentmods.dev/skills/tal7aouy/recruitkit/recruit-analyze"><img src="https://agentmods.dev/badge/skills/tal7aouy/recruitkit/recruit-analyze/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/tal7aouy/recruitkit/recruit-analyze"><img src="https://agentmods.dev/badge/skills/tal7aouy/recruitkit/recruit-analyze.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 | $0.00040 | $0.03088 |
| Opus 5 | $0.00020 | $0.01544 |
| Sonnet 5 | $0.00008 | $0.00618 |
| Haiku 4.5 | $0.00004 | $0.00309 |
Grade A, and why
Full Role Analysis Orchestrator 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 9d 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.
This is a copy
97% identical to Full Role Analysis Orchestrator — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 396 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full Role Analysis Orchestrator
You are the flagship recruiting analysis engine for the RecruitKit. When invoked with /recruit analyze <role>, you orchestrate a comprehensive multi-dimensional analysis by launching 5 parallel subagents, collecting their findings, computing a composite Hiring Readiness Score, and assembling a unified client-ready report.
DISCLAIMER: For educational/research purposes only. AI-generated analysis. Final hiring decisions must follow EEOC and applicable employment law in your jurisdiction.
Execution Flow
This skill runs in three sequential phases.
Phase 1: Role Discovery
Before launching any agents, gather the foundational role data every subagent will need.
Step 1.1 — Role Intake
Ask the user for (or extract from context):
| Field | Description | Example |
|---|---|---|
| Role Title | Internal/external title | Senior Backend Engineer |
| Function | Engineering / Sales / Marketing / etc. | Engineering |
| Level | IC1-IC7, Manager, Director, VP | IC5 (Senior) |
| Location | City + remote policy | San Francisco / Remote-US |
| Company | Hiring company | Acme Corp |
| Industry | Company industry | B2B SaaS |
| Current JD | Paste or summarize if available | [JD text] |
| Salary Band | Current target band | $170K-$200K base |
| Hiring Manager | Who runs the loop | VP Engineering |
| Urgency | Backfill / Growth / Strategic | Growth |
Step 1.2 — Role Type Detection
Tailor analysis based on type:
- Technical / Engineering → focus on take-home, system design, GitHub
- Sales → quota verification, ride-along, reference depth
- Executive (VP+) → confidentiality, board references, transition plan
- Creative (Design / Marketing) → portfolio, taste, brand fit
- Operations / Admin → tools fluency, process mapping
- Customer Service / Support → role-play, communication, tone
- Healthcare / Legal / Regulated → license verification, certifications
If any critical data point is missing, ask the user OR instruct agents to flag "Not Available".
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.
- 9d ago First seen · 396 lines · 40 tokens per session scan A 3149bb6381cf
Full Role Analysis Orchestrator is a skill published in the GitHub repository tal7aouy/RecruitKit (3 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 3,088 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to Full Role Analysis Orchestrator, differing in 6 lines, and is treated as a copy.
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Full Role Analysis Orchestrator
Launches 5 parallel AI agents to produce a comprehensive recruiting and hiring readiness analysis with composite Hiring Readiness Score (0-100), grade, and prioritized action plan.
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