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 konglong87/superPM --skill pm-career-coachgit clone --depth 1 https://github.com/konglong87/superPMWrote 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/konglong87/superpm/pm-career-coach)<a href="https://agentmods.dev/skills/konglong87/superpm/pm-career-coach"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-career-coach/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/konglong87/superpm/pm-career-coach"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-career-coach.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 | $0.00046 | $0.00623 |
| Opus 5 | $0.00023 | $0.00311 |
| Sonnet 5 | $0.00009 | $0.00125 |
| Haiku 4.5 | $0.00005 | $0.00062 |
Grade A, and why
pm-career-coach 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.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
mkdir -p docs/06-职业发展
Overview
This skill helps PMs at every career stage:
- Junior PM — Build foundational skills, find your first PM role
- Mid-level PM — Deepen expertise, prepare for senior roles
- Senior PM — Develop leadership, strategic thinking
- Director/VP — Executive presence, organizational influence
Execution Flow
Step 1: Understanding Your Current Stage
Use AskUserQuestion to assess:
What is your current PM career stage?
A) Aspiring PM — Want to break into product management B) Junior PM (0-2 years) — Building foundational skills C) Mid-level PM (2-5 years) — Growing expertise D) Senior PM (5-8 years) — Leading products and teams E) Director/VP (8+ years) — Driving organizational strategy
Step 2: Identify Your Goals
Use AskUserQuestion:
What is your primary career goal right now?
A) Land my first PM role B) Get promoted to the next level C) Transition to a new industry/domain D) Build specific skills (data, strategy, leadership) E) Prepare for Director/VP role F) Other (please describe)
Step 3: Generate Career Development Plan
Based on the user's stage and goals, generate a structured career development plan:
- Current Assessment — Strengths, gaps, and opportunities
- Skill Development Roadmap — What to learn and in what order
- Experience Building — Projects, side work, and stretch assignments
- Network & Mentorship — Who to connect with and how
- Timeline — 3-month, 6-month, and 12-month milestones
Step 4: Document the Plan
Write the career plan to docs/06-职业发展/职业发展规划.md.
Step 5: Recommended Next Steps
Offer 2-3 follow-up actions:
- /pm-interview-prep — Prepare for PM interviews
- /pm-resume — Optimize your PM resume
- Revisit this skill for quarterly career check-ins
Reference Resources
When recommending resources, prefer:
- Books: Inspired (Cagan), Escaping the Build Trap (Torres), The Mom Test
- Frameworks: STAR method for interviews, Simon Sinek's Golden Circle
- Communities: Mind the Product, Product School, SVPG
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 · 88 lines · 46 tokens per session scan A 928626981e2f
pm-career-coach is a skill published in the GitHub repository konglong87/superPM (65 stars, last pushed 9d ago), licensed MIT. It adds 46 tokens to every session and 623 once invoked, about $0.0002 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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