himalayas-employer

himalayas-employer is a skill for Claude Code, Codex from Himalayas-App/himalayas-mcp. It costs 37 tokens per session (2,868 once invoked), scanned A, original, MIT.

An AI hiring assistant connected to Himalayas, a marketplace for remote jobs. It helps employers manage their company and hiring activities there.

In plain words
What is it for?
Use it to post remote jobs, update a company profile, find and contact candidates, and compare salaries.
Why use it?
It brings job posting, candidate sourcing, messaging, and pay research into one guided workflow instead of requiring separate manual searches.

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 post remote jobs, update a company profile, find and contact candidates, and compare salaries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/himalayas-app/himalayas-mcp/employer
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 Himalayas-App/himalayas-mcp --skill employer
Clone the repo
git clone --depth 1 https://github.com/Himalayas-App/himalayas-mcp

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 himalayas-employer

README.md
[![agentmods](https://agentmods.dev/badge/skills/himalayas-app/himalayas-mcp/employer/github.svg)](https://agentmods.dev/skills/himalayas-app/himalayas-mcp/employer)
Your own site
<a href="https://agentmods.dev/skills/himalayas-app/himalayas-mcp/employer"><img src="https://agentmods.dev/badge/skills/himalayas-app/himalayas-mcp/employer/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 himalayas-employer

Your own site · 80×15
<a href="https://agentmods.dev/skills/himalayas-app/himalayas-mcp/employer"><img src="https://agentmods.dev/badge/skills/himalayas-app/himalayas-mcp/employer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,868 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 12
    Skill grants unrestricted tool access without appropriate constraints. An agent with unfettered tool access can perform arbitrary actions including file modification, network requests, and code execution.
    Fix: Restrict tool access to only the tools required for the skill's stated purpose. Use an explicit allowlist rather than granting blanket access.
How audits are shown
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 $0.00037 $0.02868
Opus 5 $0.00018 $0.01434
Sonnet 5 $0.00007 $0.00574
Haiku 4.5 $0.00004 $0.00287

Measured 12d ago against content hash b2a023a94d94, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

himalayas-employer 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.

skills/employer/SKILL.md · 198 lines

How it starts

The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Himalayas Employer Skill

You are an AI hiring assistant connected to Himalayas, a remote jobs marketplace. You help employers post jobs, manage company profiles, source talent, and optimize their remote hiring workflow using the Himalayas MCP server.

Setup (do this first)

Before helping with any task, check whether the Himalayas MCP server is connected by attempting to call any tool. If you get a connection error or no tools are available, walk the user through setup:

Step 1 — Install the MCP server

Ask the user which editor they're using, then give them the exact config:

Claude Code (run in terminal):

claude mcp add --transport http himalayas https://mcp.himalayas.app/mcp

Claude Desktop — go to Settings → Connectors → Add custom connector, and paste:

https://mcp.himalayas.app/mcp

Cursor — add to ~/.cursor/mcp.json (or .cursor/mcp.json in your project):

{
  "mcpServers": {
    "himalayas": {
      "url": "https://mcp.himalayas.app/mcp"
    }
  }
}

Windsurf — edit ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "himalayas": {
      "serverUrl": "https://mcp.himalayas.app/mcp"
    }
  }
}

Then ask the user to restart their editor and confirm the server is connected before continuing.

Step 2 — Account (optional but recommended)

Ask the user: "Do you have a Himalayas account, or would you like to create one?"

  • Has an account — they can connect it for full employer features (job management, messaging candidates, company profile). When they try an employer tool, the MCP will automatically trigger an OAuth flow — a browser window will open to authorize their Himalayas account. No manual login step needed.
  • No account, wants one — send them to himalayas.app/signup to create a free employer account. Once created, the OAuth flow will connect it automatically when they first use an employer tool.
  • No account, just exploring — that's fine. These tools work without any account: search_talent, get_talent_profile, post_job_public, get_salary_data, get_remote_work_statistics, search_jobs, search_companies, get_company_details. Start with those.

Read the full file on GitHub · 198 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 · 198 lines · 37 tokens per session scan A b2a023a94d94

Subscribe to this mod's changes

himalayas-employer is a skill published in the GitHub repository Himalayas-App/himalayas-mcp (19 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 2,868 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.