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 cosmicstack-labs/mercury-agent-skills --skill career-planninggit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-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/cosmicstack-labs/mercury-agent-skills/career-planning)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/career-planning"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/career-planning/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/cosmicstack-labs/mercury-agent-skills/career-planning"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/career-planning.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 | $0.00023 | $0.00416 |
| Opus 5 | $0.00012 | $0.00208 |
| Sonnet 5 | $0.00005 | $0.00083 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
career-planning 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 12d 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 Planning
Design and execute a long-term career strategy.
Frameworks
IKIGAI — Find Your Direction
What you love
|
What you're ——— What the world
good at needs
|
What you can be paid for
Career Levels Progression
| Level | Focus | Timeline |
|---|---|---|
| L3 (Junior) | Execution, learning | 0-2 years |
| L4 (Mid) | Independent delivery | 2-4 years |
| L5 (Senior) | Technical leadership, mentoring | 4-7 years |
| L6 (Staff) | Cross-team impact, strategy | 7-10 years |
| L7 (Principal) | Org-wide influence, industry | 10+ years |
Skills Assessment
Every 6 Months
- List your top 5 technical skills (rate 1-10)
- List top 5 soft skills (rate 1-10)
- Identify 2 skills to grow next quarter
- Check job descriptions for target role — what's missing?
- Create a learning plan with specific milestones
Personal Board of Directors
Curate 3-5 mentors for different domains:
- Technical mentor (senior IC or architect)
- Career mentor (manager or director)
- Industry mentor (different company, same field)
- Personal mentor (life/career balance)
Career Pivot Plan
- Identify transferable skills
- Build portfolio projects in new domain
- Network with people in target field
- Get certification or targeted education
- Start with adjacent role, then pivot fully
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.
- 12d ago First seen · 59 lines · 23 tokens per session scan A 4563e7c589d0
career-planning is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (471 stars, last pushed 18d ago), licensed MIT. It adds 23 tokens to every session and 416 once invoked, about $0.0001 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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