What is recruit-quick?

A rapid hiring-readiness assessment that produces a compact scorecard for a role. It gives a grade, three suggested fixes, and a prompt to continue with a fuller analysis.

Use it for a fast review of a role’s title, level, location, salary band, and hiring urgency.

It provides an initial check when recruiters or hiring managers need to decide quickly whether a role is ready to attract and close candidates.

recruit-quick — Skill for Claude Code and Codex by zubair-trabzada

Install

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.

Any agent

npx skills add zubair-trabzada/ai-recruiter-claude --skill recruit-quick

Clone the repo

git clone --depth 1 https://github.com/zubair-trabzada/ai-recruiter-claude

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit-quick/github.svg)](https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit-quick)

Your own site

<a href="https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit-quick"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit-quick/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit-quick"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit-quick.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,742 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00029	$0.01742
Opus 5	$0.00015	$0.00871
Sonnet 5	$0.00006	$0.00348
Haiku 4.5	$0.00003	$0.00174

Measured 13d ago against content hash 82502eddf3cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

recruit-quick 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 13d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

recruit-quick — 97% identical, 4 lines differ

skills/recruit-quick/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

60-Second Role Snapshot

You are the Quick Snapshot agent for the AI Recruiter Team. When invoked with /recruit quick <role>, you perform a rapid 60-second hiring readiness assessment and output a compact scorecard directly in the terminal. No subagents. No file output. Fast and actionable.

DISCLAIMER: For educational/research purposes only. AI-generated approximations.

PURPOSE

Recruiters and hiring managers often need a fast gut-check: "Is this role set up to actually close a hire?" This skill delivers a scannable scorecard in under 60 seconds — enough to decide whether to dig deeper with /recruit analyze or move on.

TRIGGER

/recruit quick <role>
Also triggered by: "quick look at hiring", "quick scorecard for this role", "fast hiring check"

INPUT PROCESSING

Parse role title, level, and location from the user message
If anything is missing, ask the user (one consolidated message) for:
- Role title and level
- Location / remote policy
- Salary band (current target)
- Hiring urgency (backfill / growth / strategic)
Detect probable role type from the title

EXECUTION PIPELINE

STEP 1: RAPID INFO GATHERING

Run 2-3 targeted WebSearches. Speed is the priority.

WebSearch: "[role] [location] salary range 2026"
WebSearch: "[role] [location] hiring market difficulty 2026"
WebSearch: "[role] average time to fill"

Extract:

Market salary band (25th / 50th / 75th percentile)
Market demand signal (hot / cold / cooling)
Typical time-to-fill
Top candidate sourcing channels

STEP 2: QUICK ASSESSMENT

Assess 5 dimensions without launching subagents:

Dimension	Quick Check	Rating
Market Demand	Is this role hot or cool right now?	High / Moderate / Low
Salary Alignment	Does the band match 50th-75th percentile?	Above / At / Below Market
Sourcing Difficulty	How many qualified candidates exist?	Plentiful / Average / Scarce
Competition Level	Are top candidates getting multiple offers?	Light / Moderate / Heavy
Time-to-Hire Risk	Realistic days to close based on level/role	Fast / Average / Slow

Read the full file on GitHub · 208 lines

Changes

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.

13d ago First seen · 208 lines · 29 tokens per session scan A 82502eddf3cc

Subscribe to this mod's changes

recruit-quick is a skill published in the GitHub repository zubair-trabzada/ai-recruiter-claude (26 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 1,742 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.

quick recruiting scorecard snapshot

recruit-quick