answer-application-questions

answer-application-questions is a skill for Claude Code from jain777/jobclaw-skills. It costs 89 tokens per session (1,498 once invoked), scanned A, original, MIT.

A set of rules for adapting coding-agent work to the computer's operating system. It asks the agent to identify Windows, macOS, or Linux and choose suitable built-in tools and commands.

In plain words
What is it for?
Use it to detect the platform, handle path separators, create files and folders correctly, and adapt terminal commands for Windows or macOS/Linux.
Why use it?
It reduces errors caused by using the wrong path format or terminal command for the current system. It also encourages reading and editing through available tools before running shell commands.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the jobclaw-skills plugin — 20 skills shipped together

Good fit Use it to detect the platform, handle path separators, create files and folders correctly, and adapt terminal commands for Windows or macOS/Linux.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jain777/jobclaw-skills/answer-application-questions
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 jain777/jobclaw-skills --skill answer-application-questions
Clone the repo
git clone --depth 1 https://github.com/jain777/jobclaw-skills

Made for: Claude Code.

Or install jobclaw-skills, the plugin that ships this one along with the rest of its 20 skills.

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 answer-application-questions

README.md
[![agentmods](https://agentmods.dev/badge/skills/jain777/jobclaw-skills/answer-application-questions/github.svg)](https://agentmods.dev/skills/jain777/jobclaw-skills/answer-application-questions)
Your own site
<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/answer-application-questions"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/answer-application-questions/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 answer-application-questions

Your own site · 80×15
<a href="https://agentmods.dev/skills/jain777/jobclaw-skills/answer-application-questions"><img src="https://agentmods.dev/badge/skills/jain777/jobclaw-skills/answer-application-questions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,498 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 $0.00089 $0.01498
Opus 5 $0.00044 $0.00749
Sonnet 5 $0.00018 $0.00300
Haiku 4.5 $0.00009 $0.00150

Measured 11d ago against content hash 24e19b5a77cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

answer-application-questions 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/answer.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/answer-application-questions/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

answer-application-questions

Fill an application form from the master profile — never invent. Hard rules: ../_shared/RULES.md. Paragraph answers reuse Communication verbs from ../tailor-resume/reference/action-verbs.md.

Inputs

Known-info gate (RULES §6): the job block (company/role/url) may be omitted — if absent, read jobs/current.json for it. All answers source from profile/master-profile.md; never re-ask the user for a fact (years_exp, work_auth, notice period, CTC) the profile already holds — flag a genuinely missing one rather than asking mid-form.

Batch mode (preferred for JobClaw / multi-question forms)

  • --in resumes/<slug>.app-questions.in.json:
    {
      "job":    { "company": "...", "role": "...", "url": "..." },
      "region_hint": "US|IN",          // optional; else derive from job location / profile
      "questions": [
        { "id": "q1", "text": "Years of relevant experience?",           "type": "numeric" },
        { "id": "q2", "text": "Authorized to work without sponsorship?", "type": "yes_no"  },
        { "id": "q3", "text": "Notice period (in days)?",                "type": "short"   },
        { "id": "q4", "text": "Why this role?",                          "type": "paragraph", "max_chars": 600 },
        { "id": "q5", "text": "Work mode?", "type": "enum", "options": ["Remote", "Hybrid", "Onsite"] }
      ]
    }
    
  • Profile = profile/master-profile.md.

Single mode (paste a question, get an answer)

  • Paste the question; the skill infers type and answers in markdown.

Method

  1. Region pack. Read knowledge/regions/<code>.md for phrasing — US: work-auth phrasing; IN: CTC / notice phrasing. For sponsorship verdicts specifically, defer to knowledge/work-authorization.md (judged against the job's region).

  2. Read profilepreferences.* (notice_period, current_ctc, expected_ctc, willing_to_travel, earliest_start, needs_sponsorship), work_auth, years_exp, target.*, Notes / voice.

Read the full file on GitHub · 107 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 First seen · 107 lines · 89 tokens per session scan A 24e19b5a77cb

Subscribe to this mod's changes

answer-application-questions is a skill published in the GitHub repository jain777/jobclaw-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 89 tokens to every session and 1,498 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.