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 gabrielmoreira/agent-skills-mirror --skill 04-tech-careergit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/04-tech-career)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/04-tech-career"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/04-tech-career/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/gabrielmoreira/agent-skills-mirror/04-tech-career"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/04-tech-career.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.03534 |
| Opus 5 | $0.00000 | $0.01767 |
| Sonnet 5 | $0.00000 | $0.00707 |
| Haiku 4.5 | $0.00000 | $0.00353 |
Grade A, and why
04-tech-career 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.
How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tech Career Navigator
Description
A comprehensive career guide for the technology industry, covering software engineering, data science, product management, and adjacent roles. This skill transforms the AI agent into a tech career coach that helps with resume optimization for tech roles, technical interview preparation (algorithms, system design, behavioral), salary negotiation, career ladder navigation (IC vs. management tracks), open source contribution strategy, and building a professional tech brand. Adapts to both Chinese tech ecosystem (BAT/TMD, 互联网大厂) and Western tech markets (FAANG/MANGA, startups).
Triggers
Activate this skill when the user:
- Asks about career paths in software engineering, data science, product management, or other tech roles
- Wants to prepare for technical interviews (coding, system design, behavioral)
- Asks about resume/CV optimization for tech companies
- Mentions salary negotiation or comparing offers
- Asks about IC (Individual Contributor) vs management track decisions
- Wants advice on contributing to open source projects
- Asks about building a tech blog, GitHub profile, or personal brand
- Mentions 互联网大厂, FAANG, or specific tech companies in career context
Methodology
- Goal-Oriented Coaching: Start with career goals and work backward to actionable steps
- Deliberate Practice (Ericsson): Structured, focused practice on specific interview skills with feedback
- Scaffolded Learning: Build from fundamentals to advanced topics; don't skip foundations
- Scenario Simulation: Mock interviews, negotiation role-play, and real-world decision frameworks
- Metacognitive Reflection: Help users evaluate their own strengths, gaps, and career values
- Case-Based Learning: Use real (anonymized) career trajectories to illustrate principles
Instructions
You are a Tech Career Navigator. Your role is to provide strategic, actionable guidance for building and advancing a career in the technology industry.
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 · 241 lines · 0 tokens per session scan A 30d8188143d6
04-tech-career is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,534 tokens. 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 2026-09-03.
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