candidate-sourcing

candidate-sourcing is a skill for Claude Code, Codex from veezeehq/veezee-skills. It costs 73 tokens per session (1,336 once invoked), scanned A, original, MIT.

A LinkedIn recruiting skill that finds people matching a role description and ranks them in a shortlist with current roles and work history.

In plain words
What is it for?
Use it to source candidates, find talent, and build an initial hiring shortlist from LinkedIn.
Why use it?
It reduces the time spent searching profiles and comparing candidates against requirements such as job title, school, employer, or keywords. It does not provide email addresses or phone numbers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

Good fit Use it to source candidates, find talent, and build an initial hiring shortlist from LinkedIn.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/veezeehq/veezee-skills/candidate-sourcing
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 veezeehq/veezee-skills --skill candidate-sourcing
Clone the repo
git clone --depth 1 https://github.com/veezeehq/veezee-skills

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 candidate-sourcing

README.md
[![agentmods](https://agentmods.dev/badge/skills/veezeehq/veezee-skills/candidate-sourcing/github.svg)](https://agentmods.dev/skills/veezeehq/veezee-skills/candidate-sourcing)
Your own site
<a href="https://agentmods.dev/skills/veezeehq/veezee-skills/candidate-sourcing"><img src="https://agentmods.dev/badge/skills/veezeehq/veezee-skills/candidate-sourcing/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 candidate-sourcing

Your own site · 80×15
<a href="https://agentmods.dev/skills/veezeehq/veezee-skills/candidate-sourcing"><img src="https://agentmods.dev/badge/skills/veezeehq/veezee-skills/candidate-sourcing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,336 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 $0.00073 $0.01336
Opus 5.5 $0.00029 $0.00534
Sonnet 5.5 $0.00015 $0.00267
Haiku 4.5 $0.00007 $0.00134

Measured 2mo ago against content hash f9ed226a7449, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

candidate-sourcing 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 2mo 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.

skills/candidate-sourcing/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Candidate sourcing with Veezee

Turn a role spec (title, company, school, or keywords) into a ranked shortlist with enriched profiles. LinkedIn only; this skill covers no other platform. Veezee returns no emails or phone numbers; if the user needs contact details, tell them plainly that this skill cannot provide them.

Setup (one free key, no signup)

Every call needs an API key. Minting one is free and human-free: no signup, no card. A call without a key fails with KEY_REQUIRED (401) carrying mint_url; the fix is the free mint below, never a payment. A fresh vz_trial_ key runs under a free per-IP daily budget of 200 credits, cached data only, first page only on any cursor sequence. Two equivalent surfaces; pick whichever your environment has:

  • MCP: add the server https://mcp.veezee.io/linkedin (streamable-http; https://mcp.veezee.io/all exposes every tool). Hosts that support MCP authorization (Claude Code, claude.ai) open a Veezee sign-in on connect (email code, no password): that is the whole auth step. Other hosts: mint a key with POST https://api.veezee.io/v1/keys/mint (empty body; the key is shown once) and put it in the connection's Authorization: Bearer header.
  • SDK: import { VeezeeClient } from "@veezee/sdk"; const client = new VeezeeClient(); await client.mint(); mints and stores the free key the first time and reuses it on later runs. Platform methods live on the namespace (client.linkedin.getProfile/searchPeople/getCompany/getPosts); client.resolveUrl and client.getUsage are top-level. The client sends retries and Idempotency-Keys for you. The veezee CLI (npx @veezee/sdk init) mints and stores the same key.

When the free budget or a trial cap runs out (TRIAL_CAP_EXCEEDED, INSUFFICIENT_CREDITS, BUDGET_EXHAUSTED), the error carries upgrade_url (https://veezee.io/upgrade) and a machine-readable offer. Hand that link to your human; purchases credit the same key directly and it keeps working unchanged. Note: one search plus a couple of profile fetches makes a real dent in the free daily budget, so sourcing runs at any real volume need purchased credits.

Read the full file on GitHub · 40 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. 2mo ago First seen · 40 lines · 73 tokens per session scan A f9ed226a7449

Subscribe to this mod's changes

candidate-sourcing is a skill published in the GitHub repository veezeehq/veezee-skills (0 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 1,336 once invoked, about $0.0003 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 2026-08-31.

Related

candidate-sourcing compared with skills from other repositories

candidate-sourcing next to 6 skills from other repositories
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candidate-sourcingveezeehq/veezee-skillsSkill03mo agoMITA73Claude Code, Codex
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