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-resumegit 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-resume)<a href="https://agentmods.dev/skills/konglong87/superpm/pm-resume"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-resume/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-resume"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-resume.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 | $0.00042 | $0.00394 |
| Opus 5 | $0.00021 | $0.00197 |
| Sonnet 5 | $0.00008 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
pm-resume 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.
What it actually says
Preamble (run first)
mkdir -p docs/06-职业发展
Overview
This skill helps you:
- Analyze your current resume for PM-specific strengths and gaps
- Improve bullet points using STAR + metrics framework
- Tailor your resume for specific roles and companies
- Format for ATS (Applicant Tracking System) compatibility
Execution Flow
Step 1: Input Resume
Ask the user to paste their current resume or describe their experience.
Use AskUserQuestion:
How would you like to start?
A) Paste my current resume for analysis B) Describe my experience and get a template C) Optimize for a specific role/company D) Get tips and best practices for PM resumes
Step 2: Analysis & Improvement
For each bullet point, apply the PM resume framework:
- What (action) + How (method) + Impact (metric)
- Use strong action verbs: led, launched, drove, defined, improved
- Quantify results: increased by X%, reduced by Y%, impacted Z users
Step 3: Generate Optimized Resume
Write the improved resume to docs/06-职业发展/优化简历.md.
Step 4: Recommended Next Steps
- /pm-interview-prep — Prepare for interviews
- /pm-career-coach — Career planning
- Re-run this skill for a different role
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 · 63 lines · 42 tokens per session scan A 64db52098f19
pm-resume is a skill published in the GitHub repository konglong87/superPM (64 stars, last pushed 5d ago), licensed MIT. It adds 42 tokens to every session and 394 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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