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 kyoungbinkim/give-me-job --skill application-packagergit clone --depth 1 https://github.com/kyoungbinkim/give-me-jobWrote 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/kyoungbinkim/give-me-job/application-packager)<a href="https://agentmods.dev/skills/kyoungbinkim/give-me-job/application-packager"><img src="https://agentmods.dev/badge/skills/kyoungbinkim/give-me-job/application-packager/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/kyoungbinkim/give-me-job/application-packager"><img src="https://agentmods.dev/badge/skills/kyoungbinkim/give-me-job/application-packager.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 | $0.00067 | $0.00884 |
| Opus 5 | $0.00034 | $0.00442 |
| Sonnet 5 | $0.00013 | $0.00177 |
| Haiku 4.5 | $0.00007 | $0.00088 |
Grade A, and why
application-packager 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 2d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Application Packager
Create submission-ready materials, but do not submit applications automatically.
Trigger
Use this skill after the JD analysis, cover letter draft/final, evidence map, HR review, and optional interview prep are ready or when the user asks to assemble a final Korean application package.
Do Not Trigger
Do not use this skill to bypass HR review, submit an application, send email, log in, solve CAPTCHA, or transmit personal information.
Autonomy Level
DoF: LOW
Create and validate the package structure deterministically. Do not mark an application submitted unless the user explicitly confirms manual submission.
Permitted inferences:
- ASCII package slug from company and role.
- Missing package files from the canonical package structure.
Prohibited inferences:
- Do not create unsupported cover letter claims.
- Do not invent deadlines, required documents, or submission status.
Input Contract
Required context:
- Company name and role name.
- JD or
applications/<company-role>/jd-analysis.md. resume.md.- Cover letter draft or final.
applications/<company-role>/evidence-map.md.applications/<company-role>/hr-review.md.
Optional context:
- Company values analysis.
applications/<company-role>/interview-prep.md.- Deadline, file requirements, and length limits.
Required parameters:
company: target company name.role: target role title.
Outputs produced:
applications/<company-role>/workflow.mdapplications/<company-role>/submission-checklist.md
Inputs
- company name
- role name
- JD or JD analysis
resume.md- cover letter draft or final
- optional company values analysis
- deadline, file requirements, and length limits if available
Workflow
- Normalize the application slug as
company-role. - Create or propose the package structure from
references/package-structure.md. - Save JD analysis, company values analysis, cover letter draft/final, evidence map, and checklist.
- Save interview preparation when available.
- Check company name, role name, file names, length limits, and required attachments.
- Prepare manual submission snippets or email draft text when requested.
- Record submission status only after the user confirms what happened.
- Run structure validation for newly initialized templates. Run ready validation
for completed answers, checking required questions, length rules, evidence
references, completed current final review, and unresolved blockers. Only
successful ready validation records
ready-for-user-review.
What ships with it
2 files 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.
- 2d ago Changed · +16 lines 23e953d1142d
- 11d ago First seen · 106 lines · 67 tokens per session scan A 3930576aed3d
application-packager is a skill published in the GitHub repository kyoungbinkim/give-me-job (5 stars, last pushed 2d ago), licensed MIT. It adds 67 tokens to every session and 884 once invoked, about $0.0003 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.
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