auto-apply

auto-apply is a skill for Claude Code from suxrobGM/jobpilot. It costs 34 tokens per session (2,657 once invoked), scanned A, original, MIT.

An automated job-search and application workflow that reviews jobs on a chosen job board and applies to matching ones one at a time. It stops when paused, when no suitable jobs remain, or when an application limit is reached.

In plain words
What is it for?
Use it to search a job board, filter jobs by a match score, submit applications through a worker, and limit or continue the campaign.
Why use it?
It removes the need to review and submit each matching application manually, while handling common interruptions such as two-factor authentication.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents.

Part of the jobpilot plugin — 22 skills, 4 agents, 2 MCP servers shipped together

Good fit Use it to search a job board, filter jobs by a match score, submit applications through a worker, and limit or continue the campaign.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/suxrobgm/jobpilot/auto-apply
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.

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

Made for: Claude Code.

Or install jobpilot, the plugin that ships this one along with the rest of its 22 skills, 4 agents, 2 MCP servers.

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 auto-apply

README.md
[![agentmods](https://agentmods.dev/badge/skills/suxrobgm/jobpilot/auto-apply/github.svg)](https://agentmods.dev/skills/suxrobgm/jobpilot/auto-apply)
Your own site
<a href="https://agentmods.dev/skills/suxrobgm/jobpilot/auto-apply"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/auto-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.

agentmods 80×15 button for auto-apply

Your own site · 80×15
<a href="https://agentmods.dev/skills/suxrobgm/jobpilot/auto-apply"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/auto-apply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,657 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Prompt Injection · line 16
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Data Exfiltration · line 49
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Excessive Agency · line 76
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Data Exfiltration · line 95
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 110
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00034 $0.02657
Opus 5.5 $0.00014 $0.01063
Sonnet 5.5 $0.00007 $0.00531
Haiku 4.5 $0.00003 $0.00266

Measured 11d ago against content hash 327f1db9e597, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

auto-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 11d 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.

plugin/skills/auto-apply/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Auto-apply - Search + Apply On Demand

Keep the chosen board open in tab 1; for each result that qualifies, delegate the application to the job-applier subagent (it works in its own tab and returns a compact result), then move to the next job. No batch pre-discovery and no per-job approval - launching the campaign is the confirmation. Pause only for 2FA / payment. A CAPTCHA is not a pause - attempt the solve-captcha skill; if unsolved, skip the job (never pause) and the user finishes it later via the apply skill. Live view at $JOBPILOT_WEB/campaigns/<campaign-id>.

Setup

Follow ../_shared/setup.md. Shared campaign mechanics (applied-check, result writes, worker input, rules) live in ../_shared/campaign-flow.md. Read autoApply (defaults applied per field):

Setting Default Notes
minMatchScore 60 Qualification threshold (0-100). Inline --min-score overrides.
maxApplicationsPerCampaign null (unlimited) Stop after this many successful applies. Inline --max-apps overrides; omit → unlimited.
defaultStartDate "2 weeks notice" Default start-date answer.

Inline argument overrides take precedence. --board <domain> is required unless the argument is resume or retry-failed <campaign-id>.

Campaign Modes

  • "resume" → list incomplete campaigns (GET /api/campaigns?status=in_progress), ask which to resume, replay the apply loop on remaining applying/approved/pending jobs.
  • "retry-failed <campaign-id>" → fetch the campaign; for every retryable failed job, POST its /retry command with the current retryNotes, then replay the apply loop on those approved rows.
  • Otherwise → search query → Phase 0.

Read the full file on GitHub · 216 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. 11d ago Changed · +43 lines 327f1db9e597
  2. 16d ago Changed · -4 lines a6106c4e6e0e
  3. 1mo ago Changed 09a730369bd4
  4. 1mo ago First seen · 177 lines · 34 tokens per session scan A 5547e84237b9

Subscribe to this mod's changes

auto-apply is a skill published in the GitHub repository suxrobGM/jobpilot (94 stars, last pushed 9d ago), licensed MIT. It adds 34 tokens to every session and 2,657 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

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