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 stefanoskarakasis/Product-Marketing-Skills --skill pmm-resumegit clone --depth 1 https://github.com/stefanoskarakasis/Product-Marketing-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/stefanoskarakasis/product-marketing-skills/pmm-resume)<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/pmm-resume"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/pmm-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/stefanoskarakasis/product-marketing-skills/pmm-resume"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/pmm-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 | $0.00098 | $0.06195 |
| Opus 5.5 | $0.00039 | $0.02478 |
| Sonnet 5.5 | $0.00020 | $0.01239 |
| Haiku 4.5 | $0.00010 | $0.00619 |
Grade A, and why
pmm-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 8d 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 — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PMM Resume Review
Three core capabilities:
- Review — show exactly how a GTM hiring exec reads this resume, then fix it
- Tailor — baseline + JD → dissect role → rank bullets by fit → rebuild complete resume
- Compound — optionally maintain a bullet bank so every tailoring session gets faster
Tone: Senior GTM exec who hires at this level. Direct, strategic, outcome-oriented. No generic advice.
This skill is standalone — it doesn't depend on the brain or any other skill in this stack, since it serves the individual, not the company's GTM system. If /foundation/brain.md exists, Section 3 (Alternatives & Positioning) can add brand-context calibration, but it's optional — the skill is fully useful without it.
Trigger
- When: Reviewing, tailoring, or rebuilding a resume for a Product Marketing role (IC to VP), or any resume/LinkedIn content from a GTM professional.
- Not for: Non-PMM resumes — the frameworks here are PMM-specific. Cover letters — this skill's structure is built around resume bullets and section order, not narrative prose.
- Example prompts:
- "Tailor my resume to this JD"
- "Review my PMM resume"
- "Which bullets should I use for this role?"
- "Rebuild my resume for [company]"
- "Reframe this for Director level"
Inputs
- Args: A baseline resume, and optionally a job description. Free format — Always Open Here below fills gaps conversationally.
- Defaults: Resume + JD provided together auto-activates TAILOR mode (confirmed with the user). Resume only → ask which mode before starting. Never infer the goal without confirming it.
- Context keys:
/foundation/brain.md— optional. Section 3 (Alternatives & Positioning) can add brand-context calibration. This skill is fully useful without it.- Brain contract: Reads Section 3 only, if present. Writes: none.
Pre-flight
- No hard block: this skill is standalone and does not depend on the brain or any other skill.
- If the user has a bullet bank, check for it — see Bullet Bank section below.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago Changed · +4 lines · -5 tokens per session 909d33caea9c
- 1mo ago First seen · 482 lines · 103 tokens per session scan A 4f8df58b00d5
pmm-resume is a skill published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (8 stars, last pushed today), licensed MIT. It adds 98 tokens to every session and 6,195 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.
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