AI Job Search is a Claude Code-based framework that runs on a user's machine to organize an AI-assisted job application process. It evaluates job postings, adapts CVs, writes cover letters, and helps prepare for interviews. The catalogue entries define commands, skills, instructions, an agent, and a setting for this workflow.
Borrowing it
Nothing to install: this file belongs to MadsLorentzen/ai-job-search. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MadsLorentzen/ai-job-search/master/.claude/commands/add-portal.mdgit clone --depth 1 https://github.com/MadsLorentzen/ai-job-searchWrote 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/commands/madslorentzen/ai-job-search/add-portal)<a href="https://agentmods.dev/commands/madslorentzen/ai-job-search/add-portal"><img src="https://agentmods.dev/badge/commands/madslorentzen/ai-job-search/add-portal/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.
<a href="https://agentmods.dev/commands/madslorentzen/ai-job-search/add-portal"><img src="https://agentmods.dev/badge/commands/madslorentzen/ai-job-search/add-portal.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.03269 |
| Opus 5.5 | $0.00000 | $0.01308 |
| Sonnet 5.5 | $0.00000 | $0.00654 |
| Haiku 4.5 | $0.00000 | $0.00327 |
Grade A, and why
add-portal 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 today.
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.
Do reconnaissance before writing any code. Use WebFetch (or `curl` via Bash) on the portal: Copies of this mod
2 near-identical copies found in the catalogue:
- add-portal — 100% identical, 2 lines differ
- add-portal — 94% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/add-portal - Generate a Job-Portal Search Skill for Your Local Market
You are helping the user build a job-portal search skill for a job board in their market. The repo ships worked examples of the pattern (four Danish portals plus the country-agnostic linkedin-search and freehire-search), and the README invites users elsewhere to build equivalents — this command turns that invitation into a guided workflow: investigate the portal, scaffold the skill from the canonical structure, and test-run a live query before registering anything.
The generator is country-agnostic: it works for any portal in any market and language. The skills it produces are typically market-specific and live in the user's fork (per repo policy, country-specific portal skills are not merged upstream — the generator is the upstream feature, its output is yours).
$ARGUMENTS may contain a subcommand, a portal URL, or nothing.
Follow these steps in order.
Step 0: Parse Arguments
- If
$ARGUMENTScontains--list: use Glob with.agents/skills/*/SKILL.md, print a table of installed portal skills (name, market from the description, data source fromurl-reference.md), and stop. - If
$ARGUMENTScontains a URL: treat it as the portal URL and carry it into Step 1. - Otherwise: start the interview at Step 1.
Step 1: Interview - Portal Basics
Ask the user (skip anything already answered by $ARGUMENTS):
- Portal URL - the job board's public site (e.g.
https://www.seek.com.au,https://www.stepstone.de). - Skill name - kebab-case, suffixed
-search(e.g.seek-search,stepstone-search). Must not collide with an existing folder in.agents/skills/. - Market and language - which country/region the portal covers and what language its postings use. This drives the trigger phrases in
SKILL.md(include local-language terms like the Danish skills do: "ledige stillinger", "jobsøgning"). - A realistic test query - a job title or skill the user would actually search for, used for the live test in Step 4.
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.
- today Changed b07952acbf19
- 1mo ago First seen · 161 lines · 0 tokens per session scan A 7cd254993de0
add-portal is a command published in the GitHub repository MadsLorentzen/ai-job-search (47,502 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,269 tokens. 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 commands, from other repositories
resume
Generate a tailored resume and cover letter from a job description, score both, create DOCX files, and update the tracker.
resume-team
Run the role-separated, fail-closed Resume Team workflow against a job description.
writing-coach
Human-voice writing coach — rewrite resumes and cover letters with brevity, burstiness, plain language, and authentic impact. Blocks AI-sounding prose.
cover-letter
Create a one-page cover letter for a job description and generate the final DOCX.
find-jobs
Search live job boards for roles that match the master resume, then rank them by fit.
job-fit
Run the deterministic, digest-bound candidate-fit gate before any resume tailoring.