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.
npx skills add debytesio/claude-plugin-jobhunter --skill job-huntergit clone --depth 1 https://github.com/debytesio/claude-plugin-jobhunterWrote 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.
[](https://agentmods.dev/skills/debytesio/claude-plugin-jobhunter/job-hunter)<a href="https://agentmods.dev/skills/debytesio/claude-plugin-jobhunter/job-hunter"><img src="https://agentmods.dev/badge/skills/debytesio/claude-plugin-jobhunter/job-hunter.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00094 | $0.08453 |
| Opus 5 | $0.00047 | $0.04227 |
| Sonnet 5 | $0.00019 | $0.01691 |
| Haiku 4.5 | $0.00009 | $0.00845 |
Grade A, and why
job-hunter scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **If response contains `download_url` key**: download to disk via curl: How it starts
The opening of the file, as written. The whole thing — 593 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Hunter
Search job platforms (UK and France), match listings to the candidate's profile, check visa sponsorship (UKVI for UK, Talent Passport for France), calculate financial viability including commute costs, and export ranked results to an Excel workbook (.xlsx).
Powered by DEB Cloud — scraping, reference data, and job caching are provided by the DEB Cloud MCP server (mcp__deb-jobhunter__* tools).
The country field in the expectations JSON drives platform selection, tax/social calculation, visa checking, and currency formatting. Supported countries: gb (default), fr.
Output language: All user-facing output (progress messages, reports, summaries, Excel headers) MUST be in the language of the country field. For fr: write in French. For gb: write in English. If the user writes in a specific language, respond in that language regardless of country.
CRITICAL — Follow ALL steps in order. DO NOT skip steps or improvise.
The pipeline has 7 mandatory steps: Step 0 → 1 → 2 → 3 → 3.5 → 4 → 5 → 5.5 → 6.
Each step depends on the previous step's output. Skipping enrichment (Step 4) degrades scoring. Skipping company checks (Step 5.5) loses ratings and visa data. Skipping commute (Step 6) loses financial viability.
Do NOT write custom Python to replace process_jobs.py stages — always use the script as documented.
Do NOT use scrape_jobs (legacy) — always use launch_scrape_jobs (async pipeline).
Context Management — Save Tool Responses to File
CRITICAL: MCP tool responses (especially scrape_jobs and scrape_url) return large payloads that saturate the context window. You MUST save them to disk immediately and reference the file path instead of keeping the content in context.
Temp directory: Create a mcp_jobhunter subdirectory under the system temp folder. Detect the OS temp path at runtime:
- Linux/macOS:
/tmp/mcp_jobhunter/ - Windows:
%TEMP%\mcp_jobhunter\(e.g.,C:\Users\{user}\AppData\Local\Temp\mcp_jobhunter\)
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 593 lines · 94 tokens per session scan A b5c7246c47f9
job-hunter is a skill published in the GitHub repository debytesio/claude-plugin-jobhunter (13 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 94 tokens to every session and 8,453 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
subagent-driven-development
Execute plans via delegatetask subagents (2-stage review).
mcporter
List, auth, and call MCP servers/tools from the terminal.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
telegram-setup
Connect a Telegram bot to the Vellum Assistant gateway with automated webhook registration and credential storage.
vellum-skills-catalog
Discover bundled skills and search/install community skills from the skills.sh registry.