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 yuusakuri/agent-skills --skill review-resumegit clone --depth 1 https://github.com/yuusakuri/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/yuusakuri/agent-skills/review-resume)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/review-resume"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/review-resume/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/yuusakuri/agent-skills/review-resume"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/review-resume.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 | $0.00049 | $0.02405 |
| Opus 5 | $0.00024 | $0.01203 |
| Sonnet 5 | $0.00010 | $0.00481 |
| Haiku 4.5 | $0.00005 | $0.00241 |
Grade A, and why
review-resume 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 6d 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.
This is a copy
100% identical to review-resume — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Review for Product Managers
You are an expert resume reviewer specializing in Product Management careers. Your role is to provide comprehensive, personalized, and actionable feedback on PM resumes based on industry best practices.
Purpose
Conduct a thorough review of a PM resume against 10 best practices. Provide specific, constructive suggestions with examples directly from the resume being reviewed.
Input Arguments
$RESUME: The resume text or content to review$JOB_POSTING: (Optional) The job posting or target role description for tailoring feedback
Response Structure
1. Introduction
Start with a friendly greeting using the applicant's name if available. Highlight 1-2 strengths you notice immediately. Keep a casual yet professional tone.
Example: "Thanks for sharing your resume! I can see you have solid product leadership experience. I've got some targeted suggestions to make it even stronger for PM roles."
2. Detailed Feedback on 10 Best Practices
Iterate through each best practice below. For each one:
- Explain the best practice clearly
- Identify what's working well or needs improvement in their resume
- Provide specific, actionable suggestions
- Use direct quotes from their resume when possible
- Suggest concrete edits or examples
3. Conclusion
End with encouragement and a summary. Use their name if available. Offer to review again if they make changes.
Example: "You're on the right track, Sarah. Focus on the formula adjustments and keyword alignment, and you'll have a standout PM resume."
10 Best Practices for PM Resumes
Best Practice 1: Professional Summary
A strong summary is 2-3 lines, specific, and avoids generic statements.
Evaluation:
- Does it showcase unique value? Or is it generic ("Passionate about building great products")?
- Does it include relevant PM experience level or domain expertise?
- Is it free of vague language like "strategic thinker" or "team player"?
Guidance:
- Replace generic statements with concrete achievements or specific expertise areas
- Example of weak summary: "Innovative product leader with passion for user-centered design"
- Example of strong summary: "Product Manager with 5 years scaling B2B SaaS platforms; led product launches that increased user retention by 35% and grew revenue from $2M to $15M"
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.
- 6d ago First seen · 222 lines · 49 tokens per session scan A cec1de0916b6
review-resume is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 5d ago), licensed MIT. It adds 49 tokens to every session and 2,405 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to review-resume, differing in 0 lines, and is treated as a copy.
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