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.
npx skills add jain777/jobclaw-skills --skill answer-application-questionsgit clone --depth 1 https://github.com/jain777/jobclaw-skillsWrote 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.
[](https://agentmods.dev/skills/jain777/jobclaw-skills/answer-application-questions)<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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00089 | $0.01498 |
| Opus 5.5 | $0.00036 | $0.00599 |
| Sonnet 5.5 | $0.00018 | $0.00300 |
| Haiku 4.5 | $0.00009 | $0.00150 |
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 2mo 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.
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
typeand answers in markdown.
Method
-
Region pack. Read
knowledge/regions/<code>.mdfor phrasing — US: work-auth phrasing; IN: CTC / notice phrasing. For sponsorship verdicts specifically, defer toknowledge/work-authorization.md(judged against the job's region). -
Read profile —
preferences.*(notice_period, current_ctc, expected_ctc, willing_to_travel, earliest_start, needs_sponsorship),work_auth,years_exp,target.*,Notes / voice.
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.
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.
- 2mo ago First seen · 107 lines · 89 tokens per session scan A 24e19b5a77cb
answer-application-questions is a skill published in the GitHub repository jain777/jobclaw-skills (7 stars, last pushed 5mo ago), licensed MIT. It adds 89 tokens to every session and 1,498 once invoked, about $0.0004 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 2026-08-31.
answer-application-questions compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| answer-application-questionsjain777/jobclaw-skills | Skill | 7 | 5mo ago | MIT | A | 89 | Claude Code |
| orbit-notionnexu-io/open-design | Skill | 107k | today | Apache-2.0 | A | 117 | Claude Code, Codex |
| agentmailpaperclipai/paperclip | Skill | 113k | today | MIT | A | 30 | Claude Code, Codex |
| rowboat-spacesrowboatlabs/rowboat | Skill | 18k | today | Apache-2.0 | A | 60 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | 6d ago | MIT | A | 184 | Claude Code |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | today | MIT | A | 52 | Claude Code, Codex |
| feishuHmbown/CodeWhale | Skill | 41k | 3d ago | MIT | A | 33 | Claude Code, Codex |