application-form-filler

application-form-filler is a skill for Claude Code, Codex from Natsummerance/readMD. It costs 27 tokens per session (1,853 once invoked), scanned A, a copy of application-form-filler, MIT.

A writing aid for filling in job application form fields using the candidate’s CV and the job description. It covers forms on hiring systems such as Greenhouse, Lever, Ashby, and Workday.

In plain words
What is it for?
Use it to answer questions such as “tell us about yourself,” “why do you want to work here,” and questions about experience. It produces answers that can be copied into application fields.
Why use it?
It avoids turning every form answer into a generic cover letter or guessing what the question asks. It also helps keep answers based on the candidate’s real experience.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to answer questions such as “tell us about yourself,” “why do you want to work here,” and questions about experience. It produces answers that can be copied into application fields.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/natsummerance/readmd/application-form-filler
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 Natsummerance/readMD --skill application-form-filler
Clone the repo
git clone --depth 1 https://github.com/Natsummerance/readMD

Made for: Claude Code, Codex.

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 application-form-filler

README.md
[![agentmods](https://agentmods.dev/badge/skills/natsummerance/readmd/application-form-filler/github.svg)](https://agentmods.dev/skills/natsummerance/readmd/application-form-filler)
Your own site
<a href="https://agentmods.dev/skills/natsummerance/readmd/application-form-filler"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/application-form-filler/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 application-form-filler

Your own site · 80×15
<a href="https://agentmods.dev/skills/natsummerance/readmd/application-form-filler"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/application-form-filler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,853 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 100% copy Near-identical to another mod 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 $0.00027 $0.01853
Opus 5.5 $0.00011 $0.00741
Sonnet 5.5 $0.00005 $0.00371
Haiku 4.5 $0.00003 $0.00185

Measured 1mo ago against content hash c5804ccbc6e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

application-form-filler 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.

Origin

This is a copy

100% identical to application-form-filler — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

assets/upstream/paramchoudhary-ResumeSkills/74ae19e7c62b0516d1c298328e5544976c12da5d/skills/application-form-filler/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.

Application Form Filler

When to Use This Skill

Use this skill when the user wants to:

  • Answer specific questions on a job application form
  • Fill out text fields on Greenhouse, Lever, Ashby, Workday, or any ATS
  • Write responses to "tell us about yourself" or "why do you want to work here" prompts
  • Get clean, copy-pasteable answers to application questions
  • Mentions: "fill this out", "what do I write here", "answer this question", "application form", "form field"

Core Principle

Application form answers should be direct and specific — not a cover letter crammed into a text box. Each field has a purpose. Answer that purpose clearly, then stop.

The answer should feel like: A real person typed it, not a template was filled in.

Before Answering

Always read:

  1. The job description — mirror its language and priorities
  2. The candidate's CV/profile — pull real projects, roles, and metrics
  3. The specific question — answer exactly what was asked, not what you wish was asked

If the user hasn't provided a CV or JD, ask for them before writing.

Question Types and How to Handle Each


Type 1: Experience/Background Questions

Examples:

  • "How many years of experience do you have with [technology]?"
  • "Describe your experience with [domain]"
  • "What backend frameworks have you used?"

Format:

[Technology/skill] — [X years]. [One sentence on what you used it for, with a
specific project or context]. [Optional: secondary tools in the same category].

Rules:

  • Lead with the most used/relevant technology
  • Give years honestly — don't inflate
  • Anchor every claim to a real project or role
  • For "describe experience" questions: 2-4 sentences max, one project per sentence
  • If experience is indirect (adjacent domain), say so and pivot to what is relevant

Type 2: Why This Company / What Interests You

Examples:

  • "Why do you want to work at [Company]?"
  • "What interests you about this role?"
  • "Why are you a good fit?"

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. 1mo ago First seen · 248 lines · 27 tokens per session scan A c5804ccbc6e3

Subscribe to this mod's changes

application-form-filler is a skill published in the GitHub repository Natsummerance/readMD (26 stars, last pushed 19d ago), licensed MIT. It adds 27 tokens to every session and 1,853 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to application-form-filler, differing in 0 lines, and is treated as a copy.

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