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 Kevin-Liu-01/Agent-Machines --skill career-opsgit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/career-ops)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/career-ops"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/career-ops/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/kevin-liu-01/agent-machines/career-ops"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/career-ops.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 | $0.00096 | $0.00570 |
| Opus 5 | $0.00048 | $0.00285 |
| Sonnet 5 | $0.00019 | $0.00114 |
| Haiku 4.5 | $0.00010 | $0.00057 |
Grade A, and why
career-ops 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 11d 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.
What it actually says
Career Ops
Based on santifer/career-ops (18K+ GitHub stars).
Command-driven workflow for the full job search lifecycle.
Capabilities
- Evaluate — Score a job description across 10 weighted dimensions (A-F system, 4.0/5 threshold). Six evaluation blocks: role summary, CV match, level strategy, comp research, personalization (tailored resume bullets and cover angles), and interview prep.
- Generate — ATS-optimized PDF resume tailored to a specific JD. Pulls from Kevin's master resume at
~/Documents/GitHub/kevin-wiki/raw/career/resume-kevin-liu.tex. - Scan — Search 45+ company portals (Ashby, Greenhouse, Lever, Wellfound) for matching roles. Target companies from the career-profile wiki page tier table.
- Track — Application status tracking with timeline and next-action prompts.
- Interview Prep — STAR+R story generation from Kevin's experience, mapped to likely behavioral questions.
- Salary Negotiation — Comp research, counter-offer framing, negotiation scripts.
- LinkedIn Outreach — Draft personalized connection requests and InMails for target companies.
Usage
/career-ops evaluate <JD-URL-or-paste>
/career-ops generate <JD-URL-or-paste>
/career-ops scan <company-name>
/career-ops track
/career-ops prep <company> <role>
/career-ops negotiate <offer-details>
/career-ops outreach <person-name> <company>
Key Principle
Career-ops is a filter, not a spray tool. It finds the few offers worth pursuing out of hundreds. Quality over quantity. Always review AI-generated content before submitting.
Integration
- Resume source:
~/Documents/GitHub/kevin-wiki/raw/career/resume-kevin-liu.tex - Target companies:
wiki/career/career-profile.mdtier table - Interview stories cross-pollinate with content ideas for social posting
- Pairs with
kevin-voiceskill for candidate blurbs and outreach copy
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.
- 11d ago First seen · 44 lines · 96 tokens per session scan A 49ce86cdb359
career-ops is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed yesterday), licensed MIT. It adds 96 tokens to every session and 570 once invoked, about $0.0005 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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