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 shalintripathi/saas-marketing-agents --skill product-marketing-opsgit clone --depth 1 https://github.com/shalintripathi/saas-marketing-agentsWrote 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/shalintripathi/saas-marketing-agents/product-marketing-ops)<a href="https://agentmods.dev/skills/shalintripathi/saas-marketing-agents/product-marketing-ops"><img src="https://agentmods.dev/badge/skills/shalintripathi/saas-marketing-agents/product-marketing-ops/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/shalintripathi/saas-marketing-agents/product-marketing-ops"><img src="https://agentmods.dev/badge/skills/shalintripathi/saas-marketing-agents/product-marketing-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00125 | $0.05734 |
| Opus 5 | $0.00063 | $0.02867 |
| Sonnet 5 | $0.00025 | $0.01147 |
| Haiku 4.5 | $0.00013 | $0.00573 |
Grade A, and why
product-marketing-ops 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 yesterday.
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 — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Marketing Operations
Step 0 (always first): Load brand context
Before producing any deliverable, look for a brand-context.md file in the user's project root (also check ./.claude/brand-context.md and ./docs/brand-context.md). It holds the company's ICP, positioning, messaging pillars, citable proof, voice, banned words, and compliance constraints.
- If it exists: read it in full and treat it as binding for this run. Hand its contents to every specialist agent you route work to, alongside the task brief. Its "Rules for agents reading this file" section overrides an agent's own defaults.
- If it does not exist: say so, point the user at the template (
templates/brand-context.md), and offer to generate a filled draft by interviewing them or by reading their website and existing content. Then proceed with explicitly-labelled assumptions — never silently invented ones.
Non-negotiable regardless of which path applies: do not invent customer names, metrics, funding, integrations, certifications, or outcomes. Only proof recorded in brand-context.md (or supplied directly in the request) may be used as fact. Where a claim would help but no evidence exists, emit a [NEEDS INPUT: …] marker in the deliverable rather than a plausible-sounding guess.
What This Is
Product Marketing Operations brings together positioning strategists, launch managers, messaging architects, competitive intelligence specialists, and customer advocacy leaders to build market-winning strategies for product launches and ongoing positioning. This skill orchestrates your go-to-market strategy to establish clear market positioning, build competitive differentiation, launch new products and features with impact, and develop the customer proof that drives sales pipeline. Whether you're launching a new product category, repositioning your solution in response to competitive threats, building customer advocacy for analyst briefings, or conducting win/loss analysis to understand market dynamics, Product Marketing Operations routes your request to the right specialist and ensures your GTM strategy aligns positioning, messaging, and customer proof.
What ships with it
9 files 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.
- agents/pmm-agent-readiness-strategist.md 12 KB
- agents/pmm-brand-demand-strategist.md 26 KB
- agents/pmm-competitive-intelligence.md 57 KB
- agents/pmm-customer-advocacy.md 40 KB
- agents/pmm-international-gtm-strategist.md 23 KB
- agents/pmm-launch-manager.md 32 KB
- agents/pmm-messaging-architect.md 50 KB
- agents/pmm-positioning-strategist.md 12 KB
- agents/pmm-pricing-packaging-strategist.md 12 KB
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.
- yesterday Changed · +3 lines 2cbfd873001a
- 8d ago First seen · 364 lines · 125 tokens per session scan A 95f837559d4b
product-marketing-ops is a skill published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 125 tokens to every session and 5,734 once invoked, about $0.0006 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 2026-09-04.
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