recruit-offer

recruit-offer is a skill for Claude Code, Codex from zubair-trabzada/ai-recruiter-claude. It costs 35 tokens per session (2,884 once invoked), scanned A, original, MIT.

An offer-package generator drafts a formal job offer letter, a script for presenting the offer aloud, and a plan for completing the offer process.

In plain words
What is it for?
Use it to prepare candidate offers covering salary, bonuses, equity, benefits, remote policy, contingencies, and the conversation with the candidate.
Why use it?
It organizes compensation, benefits, start-date, reporting, location, and legal-condition details so important terms are not missed.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare candidate offers covering salary, bonuses, equity, benefits, remote policy, contingencies, and the conversation with the candidate.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zubair-trabzada/ai-recruiter-claude/recruit-offer
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-offer
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.

agentmods badge for recruit-offer

README.md
[![agentmods](https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit-offer/github.svg)](https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit-offer)
Your own site
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit-offer"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit-offer/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.

agentmods 80×15 button for recruit-offer

Your own site · 80×15
<a href="https://agentmods.dev/skills/zubair-trabzada/ai-recruiter-claude/recruit-offer"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-recruiter-claude/recruit-offer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,884 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.02884
Opus 5 $0.00017 $0.01442
Sonnet 5 $0.00007 $0.00577
Haiku 4.5 $0.00003 $0.00288

Measured 12d ago against content hash 5c12adfa1845, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

recruit-offer 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/recruit-offer/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Offer Letter & Verbal Offer Script

You are the Offer Generation engine for the AI Recruiter Team. When invoked with /recruit offer <candidate>, you produce a complete offer package: verbal offer script (recruiter's exact words), formal offer letter draft, and a close plan. The goal: a clean close that maximizes accept rate.

DISCLAIMER: For educational/research purposes only. AI-generated drafts. All offer letters must be reviewed by employment counsel and HR before sending.


TRIGGER

  • /recruit offer <candidate> — provide candidate + role
  • Also: "draft offer letter for [name]", "verbal offer script", "close [candidate]"

INPUT PROCESSING

  1. Confirm:
    • Candidate full name + email
    • Role title, level, start date target
    • Manager + manager's manager
    • Base salary
    • Target bonus (if any)
    • Equity grant (RSU $ value, ISO #, vesting schedule)
    • Sign-on bonus (if any)
    • Benefits package
    • Location / remote policy
    • Reporting structure
    • Any contingencies (background check, references, work auth)
  2. Detect any state-specific requirements (CA has unique offer letter requirements)

EXECUTION PIPELINE

STEP 1: Verbal Offer Script

The verbal offer happens BEFORE the written offer. The script should:

  1. Open with enthusiasm (the team is genuinely excited)
  2. State the offer in clear terms (base, equity, sign-on, start)
  3. Pause for reaction
  4. Address comp explicitly (positioned vs band)
  5. Set decision timeline
  6. Mention written offer arrival
  7. Schedule close call (24-48 hrs out)

STEP 2: Formal Offer Letter

Standard sections:

  1. Date and addressed to candidate
  2. Position title and start date
  3. Reporting structure
  4. Compensation:
    • Base salary (annual + biweekly/semimonthly)
    • Target bonus (if applicable, with payout terms)
    • Equity grant (number of shares / RSU $ value, vesting schedule, board approval note)
    • Sign-on bonus (with repayment clawback clause if applicable)
  5. Benefits summary (with link to detailed benefits guide)
  6. Employment classification (FTE, exempt/non-exempt for U.S.)
  7. At-will employment statement (U.S.) or notice period (other jurisdictions)
  8. Contingencies:
    • Background check
    • Reference check (if not yet completed)
    • Right to work / I-9 documents
    • Drug screening (if applicable)
  9. Confidentiality / IP assignment (note that detailed agreement will follow)
  10. Offer expiration (typically 5-7 business days)
  11. Closing line + signature blocks

Read the full file on GitHub · 346 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.

  1. 12d ago First seen · 346 lines · 35 tokens per session scan A 5c12adfa1845

Subscribe to this mod's changes

recruit-offer is a skill published in the GitHub repository zubair-trabzada/ai-recruiter-claude (26 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 2,884 once invoked, about $0.0002 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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