Skip to main content

Action-based CLI for tracking a job hunt

Project description

jobhound

Action-based CLI for tracking a personal job hunt. Status changes are a consequence of recorded events (apply, log, withdraw, …), not direct field edits.

Install

uv tool install jobhound   # or: pipx install jobhound

Exposes the jh command.

For tab-completion, run:

jh completion install

See jh completion --help for per-shell options.

Usage

jh new --company Acme --role "Senior Engineer"
jh apply acme
jh log acme --channel email --direction to --who recruiter \
            --body draft.md --next-status screen
jh note acme --msg "Recruiter mentioned a hybrid setup"
jh withdraw acme
jh list
jh show acme                # human-readable detail; --json for the envelope
jh export --active-only     # bulk JSON envelope to stdout

Each command is a verb on a single opportunity. Run jh --help for the full set: new, apply, log, withdraw, ghost, accept, decline, note, priority, tag, link, contact, list, edit, archive, delete, sync, show, export.

jh export filters: --status and --priority (comma-separated or repeatable), --slug (substring), --active-only, --include-archived.

Managing opportunity files

jh file provides uniform access to files inside an opportunity (CVs, research notes, correspondence, etc.). Available subcommands:

  • jh file list <slug> — list files
  • jh file show <slug> <name> — print to stdout; use --out <path> to export
  • jh file write <slug> <name> --content <str> (or --from <path>)
  • jh file append <slug> <name> --content <str> (or --from <path>)
  • jh file delete <slug> <name> --yes

Pass --base-revision <r> (the revision string from a prior jh file show or jh file write) to enable optimistic-concurrency conflict detection. For text files, a 3-way merge is attempted automatically; binary conflicts surface the current file's metadata and suggest an alternate name.

Storage

Per-opportunity data is stored under $XDG_DATA_HOME/jh/ (defaults to ~/.local/share/jh/) as a TOML file plus markdown notes and correspondence. The data root is a git repo with auto-commits on every state change — your history is auditable and you can push it anywhere.

AI integration (MCP)

jh ships a Model Context Protocol server so AI clients (Claude Desktop, Claude Code, Continue, Zed, …) can read and modify your job hunt directly. 37 MCP tools cover read operations (list, show, stats, files, file content), state transitions (apply, log, withdraw, ghost, accept, decline), field setters, relation operations (tags, contacts, links), opportunity ops (notes, archive, delete), and a uniform file API (read, write, import, export, append, delete) with optimistic-concurrency conflict detection and 3-way merge for text files.

Install the optional extra:

uv tool install 'jobhound[mcp]'

Then point your MCP client at the server. For Claude Desktop, add to claude_desktop_config.json:

{
  "mcpServers": {
    "jobhound": {
      "command": "jh",
      "args": ["mcp"]
    }
  }
}

For zero-install discovery (no uv tool install needed):

{
  "mcpServers": {
    "jobhound": {
      "command": "uvx",
      "args": ["--from", "jobhound[mcp]", "jh-mcp"]
    }
  }
}

The same pattern works for Claude Code (.mcp.json), Continue, Zed, and any other MCP-spec-compliant client.

By default the AI gets full CLI parity — including writes. Most MCP clients show each tool call to the user before executing it; that's the consent layer. The one tool that requires explicit double-confirmation is delete_opportunity, which needs confirm=true in the call args (otherwise it returns a preview only, no side effects).

Status

Pre-1.0. The CLI surface is stable; semantic-versioned releases via Conventional Commits.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jobhound-0.11.0.tar.gz (439.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

jobhound-0.11.0-py3-none-any.whl (87.8 kB view details)

Uploaded Python 3

File details

Details for the file jobhound-0.11.0.tar.gz.

File metadata

  • Download URL: jobhound-0.11.0.tar.gz
  • Upload date:
  • Size: 439.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for jobhound-0.11.0.tar.gz
Algorithm Hash digest
SHA256 e1ff9f7cd180c2e8d9925e4376ba31bc73e966561c2d7018ea488ec5b18e7004
MD5 f35a12370de7f9ae8ed45626ce26b72e
BLAKE2b-256 d333230aafc74e7613f5c19a9c1c5159c544d8a669c06953d848015e9cf88122

See more details on using hashes here.

Provenance

The following attestation bundles were made for jobhound-0.11.0.tar.gz:

Publisher: release.yml on yo61/jobhound

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file jobhound-0.11.0-py3-none-any.whl.

File metadata

  • Download URL: jobhound-0.11.0-py3-none-any.whl
  • Upload date:
  • Size: 87.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.13

File hashes

Hashes for jobhound-0.11.0-py3-none-any.whl
Algorithm Hash digest
SHA256 224e50100449e6501c1515e929b821f7da820a957b1c096bde936cded35d3557
MD5 16f3f37a22a78dd2e4008178dfddb786
BLAKE2b-256 753a43d4a80d7ff0274f3c01eeaa3258c6ea8f969e2cd2ad65389c2f71be5320

See more details on using hashes here.

Provenance

The following attestation bundles were made for jobhound-0.11.0-py3-none-any.whl:

Publisher: release.yml on yo61/jobhound

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page