An end-to-end guide for working on job applications, from understanding a job posting and employer to preparing application materials. It adapts to a job URL, company URL, or pasted job text.

Use it to analyze a role or company, compare a job with a candidate profile, and support the application process when the required workspace and inputs are available.

It shows which parts of an application can be completed with the available information and identifies what is still missing.

apply — Skill for Claude Code by laboramus-ai

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/laboramus-ai/laboramus-ai-claude-plugin

agentmods

npx agentmods add skills/laboramus-ai/laboramus-ai-claude-plugin/apply

Made for: Claude Code.

Or install laboramus-ai, the plugin that ships this one along with the rest of its 11 skills, 2 agents.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/laboramus-ai/laboramus-ai-claude-plugin/apply/github.svg)](https://agentmods.dev/skills/laboramus-ai/laboramus-ai-claude-plugin/apply)

Your own site

<a href="https://agentmods.dev/skills/laboramus-ai/laboramus-ai-claude-plugin/apply"><img src="https://agentmods.dev/badge/skills/laboramus-ai/laboramus-ai-claude-plugin/apply/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/laboramus-ai/laboramus-ai-claude-plugin/apply"><img src="https://agentmods.dev/badge/skills/laboramus-ai/laboramus-ai-claude-plugin/apply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,040 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00075	$0.01040
Opus 5	$0.00037	$0.00520
Sonnet 5	$0.00015	$0.00208
Haiku 4.5	$0.00007	$0.00104

Measured 12d ago against content hash 52206d16e0b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

apply 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/apply/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Laboramus — Apply (Orchestrator)

The main entry point. Figure out what the user has, run what can be run, tell them what's missing. One skill steers everything; the individual skills below can also be called directly by advanced users.

Shared rules: read ../../references/conventions.md (relative to this SKILL.md) — current-application resolution, language domains, anti-injection, slugs — and ../../references/status-schema.md for the exact status.json format.

Step 0 — Workspace

If a Laboramus/ workspace doesn't exist yet in the project, run the init skill first (scaffold folders). If no profile/candidate-profile.md exists, mention that building a profile (build-profile skill) unlocks the personal fit comparison and the cover letter — but don't force it; employer + role analysis work without it.

Step 1 — Resolve the input (input path ≠ skill)

If the user already provided input (URL or pasted text), use it directly — don't ask. Only ask "What do you have?" when nothing was provided. Handle whichever applies:

(a) a job-posting URL (portal / LinkedIn / company site): try to read it; identify the company from it.
(b) a company + URL: company only.
(c) a role + URL: read the posting; derive company if possible.
(d) pasted job text: use directly.

Normalize everything to { company (name/URL, optional), job-posting text }.

If a URL can't be read (LinkedIn and many JS-heavy/auth-walled sites fail):

Chrome-Browser MCP Connector: If the environment provides a Chrome-Browser MCP connector or browser tool (e.g., browser_subagent), offer to use it to read the page (to handle JavaScript rendering, cookies, or LinkedIn walls).
Fallback: If no browser tool is available or the read still fails, ask the user to paste the text (the paste path is the reliable fallback).
Claude-for-Chrome extension: Optionally offer the Claude-for-Chrome route (see analyze-employer) for pages behind a login in standard setups.

Read the full file on GitHub · 50 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.

12d ago First seen · 50 lines · 75 tokens per session scan A 52206d16e0b5

Subscribe to this mod's changes

apply is a skill published in the GitHub repository laboramus-ai/laboramus-ai-claude-plugin (2 stars, last pushed 13d ago), licensed MIT. It adds 75 tokens to every session and 1,040 once invoked, about $0.0004 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 2026-08-31.

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