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 cold-email-writergit 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/cold-email-writer)<a href="https://agentmods.dev/skills/paramchoudhary/resumeskills/cold-email-writer"><img src="https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/cold-email-writer/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/paramchoudhary/resumeskills/cold-email-writer"><img src="https://agentmods.dev/badge/skills/paramchoudhary/resumeskills/cold-email-writer.svg" alt="Reviewed on agentmods" width="80" 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 164 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 | $0.00024 | $0.01706 |
| Opus 5 | $0.00012 | $0.00853 |
| Sonnet 5 | $0.00005 | $0.00341 |
| Haiku 4.5 | $0.00002 | $0.00171 |
Grade A, and why
cold-email-writer 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 10d 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:
- cold-email-writer — 100% identical, 0 lines differ
- cold-email-writer — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cold Email Writer
When to Use This Skill
Use this skill when the user wants to:
- Write a cold outreach email to a hiring manager, founder, or recruiter
- Reach out about a job opening they weren't referred to
- Introduce themselves to a company they want to work at
- Mentions: "cold email", "reach out", "intro email", "outreach", "contact hiring manager"
Core Principle
Cold emails fail because they sound like cover letters. The goal is to sound like a smart person who genuinely noticed something specific about the company — not a candidate broadcasting their credentials.
The email should feel like: A colleague mentioning something interesting they read, not a sales pitch.
The Template Structure
Subject
Quick intro — [First Name Last Name]
Simple. No clickbait. No role title. Just a name.
Opening — The Hook (2-3 sentences)
Start with what genuinely pulled the candidate in. Must be specific to this company — not a generic compliment.
I just came across [Company] and ended up spending more time on it than I expected.
[One specific thing that caught their attention — a stat, a product decision, a market insight from the JD or website]
What makes a good hook:
- A specific number or stat from the company's materials ("only 5% of the market is online")
- A product decision that shows you understand the domain ("you're building from scratch alongside underwriters, not just distribution")
- A technical insight from the JD ("improving the data infrastructure for LLM usage, not just the model layer")
What makes a bad hook:
- Generic: "I love what you're building"
- Vague: "Your mission resonates with me"
- Flattering: "You're one of the most exciting companies in the space"
Location Disclosure (if international)
If the candidate is in a different country from the company, disclose it early and casually:
Before you read further, I should mention I'm based in [country]. But if we both
feel there's a strong fit, I'd be open to figuring things out.
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.
- 10d ago First seen · 214 lines · 24 tokens per session scan A b8b576b5e917
cold-email-writer is a skill published in the GitHub repository Paramchoudhary/ResumeSkills (2,190 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 1,706 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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