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 art2url/career-agent-skills --skill resume-customizergit clone --depth 1 https://github.com/art2url/career-agent-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/art2url/career-agent-skills/resume-customizer)<a href="https://agentmods.dev/skills/art2url/career-agent-skills/resume-customizer"><img src="https://agentmods.dev/badge/skills/art2url/career-agent-skills/resume-customizer/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/art2url/career-agent-skills/resume-customizer"><img src="https://agentmods.dev/badge/skills/art2url/career-agent-skills/resume-customizer.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 | $0.00028 | $0.00717 |
| Opus 5 | $0.00014 | $0.00358 |
| Sonnet 5 | $0.00006 | $0.00143 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
resume-customizer 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.
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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Customizer
Trigger
Use when the user wants to customize their resume for a specific job posting or manage multiple resume versions.
Keywords: "customize resume", "customize resume for job", "adjust resume", "resume for this job", "target role", "specific position", "resume version", "which resume did I send", "match resume to job", "job-specific resume", "adapt resume", "resume keywords for job", "targeted resume", "resume per job"
Best used after job-fit-analyzer has identified what to emphasize.
Process
Step 1: Identify What to Emphasize
From the job description, extract:
- Must-have skills — stated as required, appear 3+ times
- Nice-to-have skills — stated as preferred/bonus
- Key terminology — exact phrases the company uses
- Priority competencies — what the role centers on
Step 2: Customize the Summary
Rewrite the professional summary to mirror the job's top 3-4 requirements. Include the exact job title or close variant. Reference the user's most relevant experience.
Step 3: Reorder for Relevance
- Skills section: Most relevant skills first
- Experience bullets: Lead each role with the bullet that best matches the target job
- Job order: If a less recent role is more relevant, consider reordering (keep dates visible)
- Sections: Move education/certs up if the role emphasizes them
Step 4: Integrate Keywords
Add job description keywords into existing bullets naturally. Use exact phrasing where it truthfully describes the user's work. Place critical keywords in multiple locations (summary, skills, experience).
Step 5: Trim and Focus
Remove or shrink content that doesn't support this application. Every line should earn its space by connecting to what this employer wants.
Customizing vs. Lying
Acceptable: Reordering true information, using the employer's terminology for things you actually did, emphasizing certain achievements, adding context to vague statements.
Not acceptable: Adding skills you don't have, changing numbers, claiming titles or certifications you don't hold, inventing experiences.
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.
- 11d ago First seen · 88 lines · 28 tokens per session scan A fa8de56fa1d3
resume-customizer is a skill published in the GitHub repository art2url/career-agent-skills (8 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 717 once invoked, about $0.0001 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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