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 agentmods add rules/karthikrshet/career-agents/cursorrulesgit clone --depth 1 https://github.com/karthikrshet/Career-AgentsWhat 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 | $0.00254 | $0.00254 |
| Opus 5 | $0.00127 | $0.00127 |
| Sonnet 5 | $0.00051 | $0.00051 |
| Haiku 4.5 | $0.00025 | $0.00025 |
Grade A, and why
cursorrules 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 2d 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
Cursor Rules for Career-Agents MCP Integration
When working in this workspace, you have access to the Career-Agents MCP Server. Use the following tools to assist the user with career strategy, resume optimization, and interview preparation:
Available Tools & Guidelines
- Agent Discovery: If the user is looking for specialized advice, use
search_agentsorrecommend_agentsto discover prompt instructions or relevant agents. - Career Assessment: Use
career_assessmentto audit the user's career preparedness. - Resume Auditing: Use
resume_scoreto get an ATS compliance rating and find keyword gaps, or usejob_matchto compare a resume against a target job description. - Interview Preparation: Use
company_trackto lookup interview process details for target companies (e.g., Google, Stripe, Atlassian). - Roadmaps & Workflows: Use
career_pathorworkflow_lookupto fetch step-by-step career milestones and repeatable operational workflows.
Sample Prompts
- "Find the best Career-Agents for preparing for Atlassian SDE interviews."
- "Score this resume: [resume text]"
- "Show me the preparation roadmap for a frontend-engineer career path."
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.
- 2d ago First seen · 18 lines · 254 tokens per session scan A 4528032cf3cb
cursorrules is a cursor rule published in the GitHub repository karthikrshet/Career-Agents (38 stars, last pushed 2d ago), licensed MIT. It adds 254 tokens to every session, about $0.0013 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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