Borrowing it
Nothing to install: this file belongs to cypggs/ai-job-search-cn. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cypggs/ai-job-search-cn/master/.claude/skills/job-application-assistant/SKILL.mdgit clone --depth 1 https://github.com/cypggs/ai-job-search-cnWrote 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/cypggs/ai-job-search-cn/job-application-assistant)<a href="https://agentmods.dev/skills/cypggs/ai-job-search-cn/job-application-assistant"><img src="https://agentmods.dev/badge/skills/cypggs/ai-job-search-cn/job-application-assistant/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/cypggs/ai-job-search-cn/job-application-assistant"><img src="https://agentmods.dev/badge/skills/cypggs/ai-job-search-cn/job-application-assistant.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 | $0.00682 |
| Opus 5 | $0.00034 | $0.00341 |
| Sonnet 5 | $0.00013 | $0.00136 |
| Haiku 4.5 | $0.00007 | $0.00068 |
Grade A, and why
job-application-assistant 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 12d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Application Assistant
Workflow
When the user provides a job posting (URL or text), follow this workflow:
Step 1: Research & Evaluate Fit
- Fetch the job posting content (use WebFetch for URLs)
- Analyze the posting for required competencies, keywords, and priorities
- Research the company (website, LinkedIn, mission, recent news)
- Score the posting against the candidate's profile using the framework in
04-job-evaluation.md - Present the evaluation table and verdict
- Suggest whether the candidate should call the employer before applying (see
04-job-evaluation.mdfor guidance) - Ask the user if they want to proceed with an application
Step 2: Tailor CV
- Read the most relevant existing CV variant from
cv/as a starting point - Follow the guidelines in
05-cv-templates.md - Create
cv/main_<company>.texwith tailored content - Adjust: profile statement, skills section, experience bullet emphasis, section order
Step 3: Write Cover Letter
- Follow the writing style rules in
03-writing-style.md(critical: no em-dashes, no cliches) - Follow the template structure in
06-cover-letter-templates.md - Create
cover_letters/cover_<company>_<role>.tex - Ensure the letter connects specific experience to the role requirements
Step 4: Interview Preparation
- Follow the framework in
07-interview-prep.md - Prepare STAR-format answers for likely questions
- Identify role-specific talking points
- Draft questions the candidate should ask the interviewer
Reference Files
| File | Purpose |
|---|---|
01-candidate-profile.md |
Education, experience, skills, publications, awards |
02-behavioral-profile.md |
Behavioral assessment, strengths, ideal environments |
03-writing-style.md |
Tone, structure, do's and don'ts |
04-job-evaluation.md |
Scoring framework for job fit |
05-cv-templates.md |
LaTeX CV structure and tailoring rules |
06-cover-letter-templates.md |
LaTeX cover letter structure and tailoring rules |
07-interview-prep.md |
STAR examples, tough questions, roleplay guidelines |
What ships with it
7 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.
- 12d ago First seen · 69 lines · 67 tokens per session scan A 8ccce15bcd3b
job-application-assistant is a skill published in the GitHub repository cypggs/ai-job-search-cn (63 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 682 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 2026-08-30.
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