resume-assistant

resume-assistant is a skill for Claude Code, Codex from happycapy-ai/Happycapy-skills. It costs 101 tokens per session (2,308 once invoked), scanned A, original, MIT.

A job-search assistant that helps build resumes, find matching roles, practise interviews, and plan skill development. It uses five focused helpers for story discovery, job matching, resume editing, interview practice, and gap analysis.

In plain words
What is it for?
It helps create or improve resumes, match experience to job descriptions, rehearse interviews, identify missing skills, and make a development plan. It can generate resume files in PDF, DOCX, or HTML formats using its provided scripts.
Why use it?
It reduces the effort of turning personal experience into a tailored resume and preparing for a specific job search.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/current/create_web_resume.py --data resume_data.json --output resume.html.

Good fit It helps create or improve resumes, match experience to job descriptions, rehearse interviews, identify missing skills, and make a development plan. It can generate resume files in PDF, DOCX, or HTML formats using its provided scripts.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills
agentmods
npx agentmods add skills/happycapy-ai/happycapy-skills/resume-assistant

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for resume-assistant

README.md
[![agentmods](https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/resume-assistant/github.svg)](https://agentmods.dev/skills/happycapy-ai/happycapy-skills/resume-assistant)
Your own site
<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/resume-assistant"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/resume-assistant/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.

agentmods 80×15 button for resume-assistant

Your own site · 80×15
<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/resume-assistant"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/resume-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,308 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.02308
Opus 5 $0.00051 $0.01154
Sonnet 5 $0.00020 $0.00462
Haiku 4.5 $0.00010 $0.00231

Measured 13d ago against content hash ab5b7b1af9fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

resume-assistant scanned grade A with 1 finding 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 13d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -L -o /tmp/fonts/NotoSansSC.ttf \
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/resume-assistant/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

简历助手

智能简历创建与优化系统,通过五个专业代理为学生提供全方位求职支持。

⚠️ 重要使用规则

生成简历文件(PDF/DOCX/HTML)时必须使用 scripts/ 目录下的脚本,严禁自行编写替代代码。如脚本失败,应解决环境问题而非绕过。

环境配置

首次使用前必须配置环境,否则脚本会失败。详见 references/troubleshooting.md

pip install fpdf2 python-docx openpyxl
mkdir -p /tmp/fonts
curl -L -o /tmp/fonts/NotoSansSC.ttf \
  "https://github.com/notofonts/noto-cjk/raw/main/Sans/Variable/TTF/Subset/NotoSansSC-VF.ttf"

代理概览

┌──────────────────────────────────────────────────────────────────────────┐
│                           简历助手系统                                    │
├──────────────────────────────────────────────────────────────────────────┤
│                                                                           │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐                │
│  │ 1.故事挖掘   │───→│ 2.职位推荐   │───→│ 3.简历优化   │                │
│  │   代理       │    │   代理       │    │   代理       │                │
│  └──────────────┘    └──────────────┘    └──────────────┘                │
│         │                   │                   │                        │
│         │                   ↓                   ↓                        │
│         │            ┌──────────────┐    ┌──────────────┐                │
│         │            │ 5.能力提升   │    │ 4.模拟面试   │                │
│         │            │   代理       │    │   代理       │                │
│         │            └──────────────┘    └──────────────┘                │
│         │                   │                   │                        │
│         │                   ↓                   ↓                        │
│         │            [制定提升计划]       [反向优化简历]                  │
│         │                   │                   │                        │
│         └───────────────────┴───────────────────┘                        │
└──────────────────────────────────────────────────────────────────────────┘

代理1:故事挖掘代理

触发词:帮我挖掘经历、我不知道写什么、我没什么经历

目标:通过引导式对话,帮学生发现被忽略的有价值经历

Read the full file on GitHub · 253 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 13d ago First seen · 253 lines · 101 tokens per session scan A ab5b7b1af9fc

Subscribe to this mod's changes

resume-assistant is a skill published in the GitHub repository happycapy-ai/Happycapy-skills (139 stars, last pushed 9d ago), licensed MIT. It adds 101 tokens to every session and 2,308 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens