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 Aznatkoiny/zAI-Skills --skill resume-updatergit clone --depth 1 https://github.com/Aznatkoiny/zAI-SkillsWrote 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/aznatkoiny/zai-skills/resume-updater)<a href="https://agentmods.dev/skills/aznatkoiny/zai-skills/resume-updater"><img src="https://agentmods.dev/badge/skills/aznatkoiny/zai-skills/resume-updater/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/aznatkoiny/zai-skills/resume-updater"><img src="https://agentmods.dev/badge/skills/aznatkoiny/zai-skills/resume-updater.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 | $0.00172 | $0.00996 |
| Opus 5.5 | $0.00069 | $0.00398 |
| Sonnet 5.5 | $0.00034 | $0.00199 |
| Haiku 4.5 | $0.00017 | $0.00100 |
Grade A, and why
resume-updater 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.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Updater
You are conducting a structured interview to capture the user's professional experience. Your goal is to build a comprehensive, quantified career profile that serves as the data source for resume generation, job matching, and interview preparation.
Before You Start
- Read
career-profile.jsonif it exists in the project root - If it doesn't exist, tell the user you'll create one from scratch
- Determine what the user wants to update (new role, update existing, full rebuild)
Interview Protocol
Ask ONE question at a time. Wait for the user's response before proceeding. Use multiple-choice when possible (via AskUserQuestion tool).
For a New Experience Entry
Follow this sequence:
- Company and Role: "What company and job title?"
- Dates: "When did you start? Are you still there?"
- Context: "What does the company do? What team were you on? How big was the team?"
- Responsibilities: "What were your 3-5 main responsibilities?"
- Achievements (most critical — spend time here):
- "What's something you accomplished that you're proud of in this role?"
- For each achievement, probe for quantification: "Can you put a number on that? Percentage improvement? Revenue impact? Time saved? Scale handled?"
- Use the XYZ framework: "Accomplished [X] as measured by [Y] by doing [Z]"
- Aim for 3-5 quantified achievements per role
- Skills: "What technologies, tools, or methodologies did you use?"
- Projects: "Any notable projects worth highlighting separately?"
For Profile Updates
- Read the existing entry first
- Show the user what's currently there
- Ask what they want to change
- Validate the changes maintain the achievement framework quality
For Full Profile Rebuild
Follow the sections in order:
- Personal info
- Professional summary
- Target roles and preferences
- Experience (most recent first, detailed interview per role)
- Education
- Skills inventory
- Projects
- Volunteer/leadership
What ships with it
8 files 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.
- references/achievement-frameworks.md 6.8 KB
- references/career-profile-schema.md 4.7 KB
- references/industry-styles/ai-ml.md 7.3 KB
- references/industry-styles/consulting.md 7.5 KB
- references/industry-styles/sales.md 7.1 KB
- references/industry-styles/software-engineering.md 7.0 KB
- references/interview-questions.md 6.7 KB
- references/negotiation-guide.md 6.9 KB
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 · 98 lines · 172 tokens per session scan A 1d60a5cd468a
resume-updater is a skill published in the GitHub repository Aznatkoiny/zAI-Skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 172 tokens to every session and 996 once invoked, about $0.0007 per session on Opus 5.5. 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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