apply

apply is a skill for Claude Code, Codex from suxrobGM/jobpilot. It costs 35 tokens per session (3,236 once invoked), scanned A, original, MIT.

A job-application tool that reviews one job or scores a list of job links before applying.

In plain words
What is it for?
Use it to review and apply to one job from a URL or pasted page, or to rank and apply to multiple saved job links.
Why use it?
It reduces the time spent checking whether jobs fit and repeating application steps. You approve the choices before applications are sent.

Skill for Claude CodeCodex

Part of the jobpilot plugin — 20 skills, 2 agents, 1 MCP server shipped together

Install

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.

agentmods
npx agentmods add skills/suxrobgm/jobpilot/apply
Any agent
npx skills add suxrobGM/jobpilot --skill apply
Clone the repo
git clone --depth 1 https://github.com/suxrobGM/jobpilot

Made for: Claude Code, Codex.

Or install jobpilot, the plugin that ships this one along with the rest of its 20 skills, 2 agents, 1 MCP server.

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.

agentmods badge for apply

README.md
[![agentmods](https://agentmods.dev/badge/skills/suxrobgm/jobpilot/apply.svg)](https://agentmods.dev/skills/suxrobgm/jobpilot/apply)
Your own site
<a href="https://agentmods.dev/skills/suxrobgm/jobpilot/apply"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/apply.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,236 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.03236
Opus 5 $0.00017 $0.01618
Sonnet 5 $0.00007 $0.00647
Haiku 4.5 $0.00003 $0.00324

Measured 5d ago against content hash 7f720d82712b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

apply 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 5d 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.

CAMPAIGN=$(curl -fsS -H "authorization: Bearer $JOBPILOT_API_TOKEN" -X POST "$JOBPILOT_API/api/campaigns" \
plugin/skills/apply/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Two modes, one shared apply loop:

  • Single-job (argument is a URL or pasted job page): fit review → user "yes" → apply one.
  • Batch (no argument, or a campaign that still holds queued links): score the campaign's queued rows → ranked table approval → apply all.

User approves once up front. No per-job confirmation after that.

Setup

Follow ../_shared/setup.md to load profile, resume, credentials. Shared campaign mechanics (applied-check, result writes, worker input, rules) live in ../_shared/campaign-flow.md.

Read autoApply for config (defaults applied per field):

Setting Default Notes
minMatchScore 60 Batch-mode threshold (0-100); the campaign's config.minScore wins when set. Ignored in single-job mode.
maxApplicationsPerCampaign null (unlimited) Sent as config.maxApplications when set; omit for unlimited batch. Single-job mode forces 1.
defaultStartDate "2 weeks notice" Default start-date answer.

For ATS portals (Greenhouse, Lever, Workday, etc.) the apply step lands on a domain that isn't in /api/job-boards; the job-worker handles login/registration there per ../_shared/auth.md.

Phase 0: Dispatch

  • Argument is campaign <campaign-id> → set CAMPAIGN_ID=<campaign-id> and fetch it first (GET /api/campaigns/$CAMPAIGN_ID); the summary decides which of the two branches runs:
    • summary.byStatus.queued > 0 → the campaign still holds pasted links nobody has visited: go to Phase 2, skipping 2.1 (the campaign is already resolved).
    • otherwise → re-apply mode: set config.maxApplications = null (unlimited - the user hand-selected these jobs), skip Phases 1-4, and run the Phase 5 loop over its current approved jobs. (The campaign viewer - or the rescan-skipped skill - promotes the chosen skipped/failed jobs to approved before injecting this.)
  • Any other argument present → Phase 1 (single-job).
  • No argument → Phase 2 (batch).

Read the full file on GitHub · 248 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.

  1. 5d ago First seen · 248 lines · 35 tokens per session scan A 7f720d82712b

Subscribe to this mod's changes

apply is a skill published in the GitHub repository suxrobGM/jobpilot (65 stars, last pushed 5d ago), licensed MIT. It adds 35 tokens to every session and 3,236 once invoked, about $0.0002 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.

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