batch

batch is a skill for Claude Code from extrasmall0/dear-hiring-manager. It costs 87 tokens per session (933 once invoked), scanned A, original, MIT.

A batch job-application command that opens several job postings, fills what it can, and stops every application before submission. It uses a stored applicant profile and presents the results for one combined review.

In plain words
What is it for?
Use it with job URLs or a URL file to process multiple applications, skip stale or poor-fit postings, and review completed or blocked tabs before submitting.
Why use it?
It removes repeated form-filling while keeping the final submission under human control and flagging applications that need attention.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the dear-hiring-manager plugin — 7 skills, 6 commands, 1 MCP server shipped together

Good fit Use it with job URLs or a URL file to process multiple applications, skip stale or poor-fit postings, and review completed or blocked tabs before submitting.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/extrasmall0/dear-hiring-manager/batch
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 extrasmall0/dear-hiring-manager --skill batch
Clone the repo
git clone --depth 1 https://github.com/extrasmall0/dear-hiring-manager

Made for: Claude Code.

Or install dear-hiring-manager, the plugin that ships this one along with the rest of its 7 skills, 6 commands, 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 batch

README.md
[![agentmods](https://agentmods.dev/badge/skills/extrasmall0/dear-hiring-manager/batch/github.svg)](https://agentmods.dev/skills/extrasmall0/dear-hiring-manager/batch)
Your own site
<a href="https://agentmods.dev/skills/extrasmall0/dear-hiring-manager/batch"><img src="https://agentmods.dev/badge/skills/extrasmall0/dear-hiring-manager/batch/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 batch

Your own site · 80×15
<a href="https://agentmods.dev/skills/extrasmall0/dear-hiring-manager/batch"><img src="https://agentmods.dev/badge/skills/extrasmall0/dear-hiring-manager/batch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 933 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.00933
Opus 5.5 $0.00035 $0.00373
Sonnet 5.5 $0.00017 $0.00187
Haiku 4.5 $0.00009 $0.00093

Measured 1mo ago against content hash 5902036bb0e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

batch 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 1mo 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/batch/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Batch apply (many jobs, one review)

Fill N applications, each in its own tab, all parked before Submit. The human reviews the whole batch at the end. This orchestrates the apply skill once per URL — identical invariants, fill-or-flag, and fit-gate. You never Submit anything.

Unattended by design — walk away while it runs. Filling is sequential (one tab at a time; a single agent has no true parallel — that's the Phase-3 daemon's job), but you don't watch it. The batch never pauses for you mid-run: anything that needs a human (account/login wall, email verification, CAPTCHA) is marked blocked and skipped, to handle together at review. Come back to the parked + blocked tabs and review/submit in one pass. Sessions can expire, so come back within a reasonable window, not days later.

Input

  • URLs passed as arguments (space- or newline-separated), OR
  • if none are given, read ~/.dear-hiring-manager/urls.txt (one URL per line; skip blank lines and lines starting with #).

Preconditions

  • ~/.dear-hiring-manager/profile.md must exist — else stop and tell the user to run /dear-hiring-manager:onboard first.

Procedure

  1. Collect the URL list (args or urls.txt), de-dupe, and report the count. If more than ~10 URLs, process the first 10 this run and tell the user the rest were deferred (avoid a runaway).

  2. For each URL, in its own tab:

    • Open a new browser tab for it (browser_tabs action new) — one application per tab, all kept open.
    • Run the apply skill procedure on that tab:
      • Stale/closed posting (redirect to board root / ?error=true, no form) → mark skipped, move on.
      • Extract JD + company; score fit; fit-gate: below the profile's Minimum fit score to apply or a hard-eligibility blocker → mark skipped, do not fill, move on.
      • Otherwise fill-or-flag every field; generate a cover letter if the portal has one; stop before Submit.
    • Update the row in applications.md (status: skipped | filled | blocked; record fit + flag count).
    • Anything that needs a human — account/login wall, email verification, CAPTCHA, unreadable form → set status=blocked with the reason, leave the tab open, and move on. Never pause the batch, and never create an account unattended. Never let one URL abort the batch or sit in-progress.

Read the full file on GitHub · 57 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. 1mo ago First seen · 57 lines · 87 tokens per session scan A 5902036bb0e8

Subscribe to this mod's changes

batch is a skill published in the GitHub repository extrasmall0/dear-hiring-manager (111 stars, last pushed 3mo ago), licensed MIT. It adds 87 tokens to every session and 933 once invoked, about $0.0003 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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