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 Natsummerance/readMD --skill resume-section-buildergit clone --depth 1 https://github.com/Natsummerance/readMDWrote 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/natsummerance/readmd/resume-section-builder)<a href="https://agentmods.dev/skills/natsummerance/readmd/resume-section-builder"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/resume-section-builder/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/natsummerance/readmd/resume-section-builder"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/resume-section-builder.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 | $0.00015 | $0.02204 |
| Opus 5.5 | $0.00006 | $0.00882 |
| Sonnet 5.5 | $0.00003 | $0.00441 |
| Haiku 4.5 | $0.00002 | $0.00220 |
Grade A, and why
resume-section-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 1mo 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 resume-section-builder — 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 — 398 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Section Builder
When to Use This Skill
Use this skill when the user:
- Needs help with specific resume sections
- Wants to optimize a particular part of their resume
- Is unsure what to include in a section
- Needs section-specific guidance
- Mentions: "resume sections", "skills section", "summary section", "experience section", "what to include"
Core Capabilities
- Build targeted professional summaries
- Structure skills sections effectively
- Optimize experience sections
- Create education sections appropriately
- Add supplementary sections strategically
- Tailor sections for different career stages
Professional Summary Section
When to Include
Include Summary If:
- Career changers (need to explain transition)
- Senior professionals (distill long career)
- Returning to workforce (address gaps)
- Highly specialized role (emphasize fit)
Skip Summary If:
- Entry level with limited experience
- Straightforward career progression
- Space is at a premium
Summary Framework
Formula: [Title/Identity] + [Years/Experience] + [Key Skills] + [Value Proposition]
By Career Stage
Entry Level:
Recent Computer Science graduate from UC Berkeley with internship experience in full-stack development. Skilled in Python, React, and AWS. Seeking to leverage academic projects in machine learning and user-facing application development in a software engineering role.
Mid-Career:
Product Manager with 6 years driving B2B SaaS products from concept to scale. Track record of launching products that generated $10M+ ARR through data-driven roadmap prioritization and cross-functional leadership. Expert in API products, developer tools, and enterprise sales motions.
Senior/Executive:
Technology executive with 15+ years building and scaling engineering organizations from 50 to 500+ across global markets. Proven success leading digital transformation initiatives, M&A integration, and platform modernization. P&L ownership of $100M+ with track record of 40%+ efficiency improvements.
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.
- 1mo ago First seen · 398 lines · 15 tokens per session scan A 63e9972a7b1b
resume-section-builder is a skill published in the GitHub repository Natsummerance/readMD (26 stars, last pushed 16d ago), licensed MIT. It adds 15 tokens to every session and 2,204 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to resume-section-builder, differing in 0 lines, and is treated as a copy.
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