JustHireMe skill
JustHireMe is a local-first job-search desktop app that gives an agent a skill and a stdio MCP server to work with job data safely.
- 2,275 ★ on the repository
- Last commit
- AGPL-3.0
Extended access
Why this level
- Browser automation for submitting applications is marked experimental and can work with resume data and the applicant's accounts.
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add skills/justhiremeDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Browser automation for submitting applications is marked experimental and can work with resume data and the applicant's accounts.
This is third-party code. Review the repository files before installing.
What it does
JustHireMe is a local-first job-search desktop app: it gathers listings from sources, ranks them by fit and helps draft application materials, keeping data on the user's machine rather than in the cloud. For agents, the project gives two separate entry points: an agent-neutral skill at `skills/justhireme/SKILL.md`, plain markdown with a YAML header, and a lightweight stdio MCP server at `backend/mcp_server.py`. The skill is written to work in any assistant that can load local instructions, including Claude, Codex, IDE assistants and custom agent runners, with no dependency on Codex-specific APIs. It teaches the agent to preserve local-first behavior, keep ranking explainable and treat browser automation as an experimental feature.
Who it is for. Job seekers who want to automate parsing listings and drafting applications without uploading their data to a cloud service.
Good fit when
- A stream of listings needs collecting and ranking by fit without a cloud black box.
- The agent should explain why a listing got a given rank, not just output a number.
- Application materials are drafted from templates using resume data and the listing description.
- Browser automation for submitting an application is needed, with the understanding that it is experimental.
Not a fit when
- Only the interface is needed, with no agent: then the plain desktop release works without the skill and MCP.
- Fully unattended application submission matters: browser automation is explicitly labeled experimental.
- An agent-neutral skill with no Codex-specific API dependency is unnecessary: another tool's native integration may fit better.
Example request
Use the JustHireMe skill to rank these listings against my resume and explain why the top three fit better than the rest.Limitations
The project is licensed under AGPL-3.0, which requires releasing source for a modified version distributed as a network service. Browser automation for submitting applications is stated as experimental, not a feature ready for unattended use. Building the frontend without the backend shows empty or mocked states on screens that depend on it. The MCP server is lightweight and runs over stdio, which fits local use beside an agent rather than remote multi-user access.
How to disable. Remove the installed desktop app and the cloned repository; delete the skill from the agent's skills directory and stop the MCP server process if it is running.
FAQ
How does the skill differ from the MCP server?
The skill is a plain markdown file of instructions for any agent that can load local files; the MCP server is a lightweight stdio service for more direct protocol access to the data.
Does the skill only work in Codex?
No, it is agent-neutral with no dependency on Codex-specific APIs; it works in Claude, IDE assistants and other runners.
Does data leave the machine?
No, the app is local-first and keeps data on the user's machine rather than a cloud service.
Is application-submission automation ready for unattended use?
No, the README explicitly labels browser automation as an experimental feature.
How do I install the desktop app without development?
Download the matching release for your platform from GitHub Releases; building from source is not needed for that path.
Discussion
No questions or reviews yet.
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README in short
The author frames the project as a response to noisy job boards and black-box AI apply tools, with open source instead of a cloud black box.