ResumeSkills is a collection of AI-agent skills for improving resumes, preparing job applications, practicing interviews, and planning career moves. It is intended for job seekers, career changers, and professionals using Claude Code for tasks such as ATS checks, job-description matching, resume tailoring, and salary negotiation. The catalogue entry consists of the project's career-focused skills.
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 Paramchoudhary/ResumeSkills --skill resume-section-buildergit clone --depth 1 https://github.com/Paramchoudhary/ResumeSkillsWrote 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/paramchoudhary/resumeskills/resume-section-builder)<a href="https://agentmods.dev/skills/paramchoudhary/resumeskills/resume-section-builder"><img src="https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/resume-section-builder.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 184 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00008 | $0.01102 |
| Sonnet 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 9d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- resume-section-builder — 100% identical, 0 lines differ
- resume-section-builder — 100% identical, 0 lines differ
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.
- 9d ago First seen · 398 lines · 15 tokens per session scan A 63e9972a7b1b
resume-section-builder is a skill published in the GitHub repository Paramchoudhary/ResumeSkills (2,169 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 2,204 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 2026-08-30.
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