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 sachin0034-tech/mini-pm --skill resume-buildergit clone --depth 1 https://github.com/sachin0034-tech/mini-pmWrote 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/sachin0034-tech/mini-pm/resume-builder)<a href="https://agentmods.dev/skills/sachin0034-tech/mini-pm/resume-builder"><img src="https://agentmods.dev/badge/skills/sachin0034-tech/mini-pm/resume-builder.svg" alt="Measured on agentmods" 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 | $0.00172 | $0.03266 |
| Opus 5 | $0.00086 | $0.01633 |
| Sonnet 5 | $0.00034 | $0.00653 |
| Haiku 4.5 | $0.00017 | $0.00327 |
Grade A, and why
resume-builder 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 8d 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 — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Resume Builder
This skill helps users build, upgrade, and tailor a high-impact, AI-optimized resume for AI/ML product and engineering roles. It uses a proven impact formula, curated AI keyword bank, and real bullet point examples to produce a resume that gets past ATS and impresses hiring managers.
Reference file: Load references/keywords-and-bullets.md whenever you need the keyword bank, bullet examples, or format checklist.
HOW TO USE THIS SKILL
Work section by section using ask_user_input to gather information. Draft each section immediately after collecting inputs — don't wait until the end. Keep it conversational and encouraging.
Two modes — detect which applies:
- Build from scratch: User has no existing CV → go through all sections in order
- Review & upgrade: User shares existing CV → run a gap analysis first, then improve section by section
WELCOME MESSAGE
"Let's build your AI-optimized resume! 🚀 I'll ask you a few questions about your experience, then craft every bullet point using a proven impact formula. We'll make sure your CV is loaded with the right AI keywords and tells a compelling story. Let's start!"
STEP 0 — DETECT MODE
Q0 — Starting Point
ask_user_input:
question: "Where are we starting from?"
type: single_select
options:
- "I have an existing CV — help me upgrade it"
- "Starting from scratch — build me a new one"
- "I have a job description — tailor my resume to it"
- "Just review my bullet points and improve them"
If they share an existing CV: Run a gap analysis against references/keywords-and-bullets.md checklist before asking any questions. Identify: missing keywords, weak bullets (no metrics), wrong tense, title mismatches, length issues. Present the gap analysis to the user first, then proceed section by section.
STEP 1 — PROFILE & TARGET ROLE
Q1 — Target Role
ask_user_input:
question: "Which AI role are you targeting with this resume?"
type: single_select
options:
- "AI Product Manager (AI PM)"
- "Generative AI PM / LLM Product Owner"
- "ML Engineer / AI Engineer"
- "Data Scientist / AI Analyst"
- "AI Strategy / Business Lead"
- "Multiple roles — build a flexible base resume"
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.
- 8d ago First seen · 341 lines · 0 tokens per session scan A 3efbf54cd349
resume-builder is a skill published in the GitHub repository sachin0034-tech/mini-pm (4 stars, last pushed 4mo ago), licensed MIT. It adds 172 tokens to every session and 3,266 once invoked, about $0.0009 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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