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.
git 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/commands/stefanoskarakasis/product-marketing-skills/pre-mortem)<a href="https://agentmods.dev/commands/stefanoskarakasis/product-marketing-skills/pre-mortem"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/pre-mortem/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/commands/stefanoskarakasis/product-marketing-skills/pre-mortem"><img src="https://agentmods.dev/badge/commands/stefanoskarakasis/product-marketing-skills/pre-mortem.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 | $0.00015 | $0.00166 |
| Opus 5.5 | $0.00006 | $0.00066 |
| Sonnet 5.5 | $0.00003 | $0.00033 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
pre-mortem 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 2mo 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
/pmm-execution:pre-mortem -- Pre-Mortem
Run a cross-functional pre-mortem on a project before it launches — imagining it has already failed, then working backward to find the real risks before they happen.
Invocation
/pmm-execution:pre-mortem New pricing tier launch
/pmm-execution:pre-mortem Enterprise SSO rollout
Workflow
Uses the pre-mortem skill. Facilitates the "imagine it failed"
exercise across functions, categorizes the risks that surface, and
produces a mitigation plan for the highest-severity ones.
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.
- 2mo ago First seen · 24 lines · 15 tokens per session scan A ab2be054d87e
pre-mortem is a command published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (8 stars, last pushed 3d ago), licensed MIT. It adds 15 tokens to every session and 166 once invoked, about $0.0001 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.
Other commands, from other repositories
getpix
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photo-pass
Art-direction photo pass over the site: add photography only where it earns its place.
strategy
Create a comprehensive product strategy using the 9-section Strategy Canvas — from vision to defensibility.
plan-okrs
Brainstorm team-level OKRs aligned with company objectives — qualitative objectives with measurable key results.
privacy-policy
Draft a privacy policy covering data collection, usage, storage, and compliance requirements.
conjure
Use when you want to build a new Claude Code skill, agent, hook, or MCP server but aren't sure which — or when you want to describe what you want in plain language. Auto-detects the right artifact type, asks targeted questions, explains the reasoning, then builds it.