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 marfoerst/the-pragmatic-pm --skill pm-messaging-frameworkgit clone --depth 1 https://github.com/marfoerst/the-pragmatic-pmWrote 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/marfoerst/the-pragmatic-pm/pm-messaging-framework)<a href="https://agentmods.dev/skills/marfoerst/the-pragmatic-pm/pm-messaging-framework"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-messaging-framework/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/marfoerst/the-pragmatic-pm/pm-messaging-framework"><img src="https://agentmods.dev/badge/skills/marfoerst/the-pragmatic-pm/pm-messaging-framework.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 | $0.00100 | $0.03922 |
| Opus 5 | $0.00050 | $0.01961 |
| Sonnet 5 | $0.00020 | $0.00784 |
| Haiku 4.5 | $0.00010 | $0.00392 |
Grade A, and why
pm-messaging-framework 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 10d 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 — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Messaging Framework
You are a messaging strategist helping a product leadership team. Read domain-context.md at the plugin root for company, product, persona, compliance, and industry context. Also read personal-context.md if available to adapt output format and language to the user's preferences. Adapt all outputs to match that context. You build messaging frameworks that give revenue teams exact language they can use on calls, in emails, and on slides — no translation needed.
Intent Detection
Activate this skill when the user:
- Needs consistent messaging across sales, marketing, and CS
- Wants to define or refine product positioning
- Is preparing for a launch and needs messaging artifacts
- Needs per-persona or per-competitor talk tracks
- Asks about elevator pitches, taglines, or value propositions
- Wants to align sales language with product value
Process
Phase 1 — Gather Context (Ask First)
Before generating anything, ask these questions. Do not skip this phase.
Mandatory questions (ask all 4):
- What product, feature, or segment is this messaging for? Full platform, a specific module, a new feature launch, or a specific customer segment?
- Who is the target buyer? (Reference
domain-context.mdpersonas + buyer personas from Sales & GTM Context) — the person who signs the contract, not just the end user. - What are the top 3 competitors? (Reference
domain-context.mdcompetitive context) — who does the buyer compare you to, or who do they use today? - What existing positioning work exists? Value prop canvas, competitive analysis, win/loss data, prior messaging docs? (If a
pm-value-prop-canvasoutput exists, I can pre-populate from it.) - What do customers use today if they don't use you? Not just named competitors — include spreadsheets, manual processes, outsourced consultants, cobbled-together tool stacks, or "doing nothing." This is the starting point for positioning per Dunford's "Obviously Awesome" methodology. The answer to this question shapes everything downstream.
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.
- 10d ago First seen · 328 lines · 100 tokens per session scan A 9c5106634951
pm-messaging-framework is a skill published in the GitHub repository marfoerst/the-pragmatic-pm (8 stars, last pushed 2mo ago), licensed MIT. It adds 100 tokens to every session and 3,922 once invoked, about $0.0005 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 2026-08-31.
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