message-house

message-house is a skill for Claude Code from stefanoskarakasis/Product-Marketing-Skills. It costs 61 tokens per session (3,411 once invoked), scanned A, original, MIT.

A skill that turns existing product positioning into a Message House: a short structure with a main message and supporting value pillars. It formats existing material rather than creating positioning from scratch.

In plain words
What is it for?
It is for producing a message-house table from existing positioning or a supplied positioning document.
Why use it?
It makes approved messaging easier for sales teams, leaders, and new staff to scan, while marking unsupported gaps instead of inventing claims.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions .claude-plugin.

Part of the pmm-positioning plugin — 9 skills, 9 commands shipped together

Good fit It is for producing a message-house table from existing positioning or a supplied positioning document.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stefanoskarakasis/product-marketing-skills/message-house
Install

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.

Any agent
npx skills add stefanoskarakasis/Product-Marketing-Skills --skill message-house
Clone the repo
git clone --depth 1 https://github.com/stefanoskarakasis/Product-Marketing-Skills

Made for: Claude Code.

Or install pmm-positioning, the plugin that ships this one along with the rest of its 9 skills, 9 commands.

Wrote 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.

agentmods badge for message-house

README.md
[![agentmods](https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/message-house/github.svg)](https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/message-house)
Your own site
<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/message-house"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/message-house/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.

agentmods 80×15 button for message-house

Your own site · 80×15
<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/message-house"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/message-house.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,411 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00061 $0.03411
Opus 5.5 $0.00024 $0.01364
Sonnet 5.5 $0.00012 $0.00682
Haiku 4.5 $0.00006 $0.00341

Measured 19d ago against content hash 6a45593849ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

message-house 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 19d 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.

pmm-positioning/skills/message-house/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trigger

Use when the user asks to "build a message house," "put our messaging in a message house," "give me the roof and pillars," references messagehouse.org, or wants their positioning and value pillars laid out as a single scannable table for sales, leadership, or a new hire.

Not for: building positioning or a messaging hierarchy from scratch (route to positioning-messaging), building personas from scratch (route to buyer-personas), or sourcing a new proof point or stat (route to proof-points). This skill formats what already exists — it does not derive strategy.

Example prompts:

  • "Build our message house"
  • "Turn our positioning into a message house table"
  • "I need the roof and pillars for a new hire deck"

Inputs

  • Product/company name (if not resolvable from brain Section 1)
  • Optional: a pasted positioning-messaging BUILD or AUDIT output from this session — takes precedence over stale brain content for the same field
  • Optional: number of pillars to build (default: however many the source material supports, capped at 3)

Brain Read/Write Contract

  • Reads: Section 1 (Product context), Section 2 (ICP — for Target audience/User persona), Section 3 (Positioning), Section 4 (Voice and tone), Section 5 (Market context — for Customer pain), Section 6 (Proof points)
  • Writes: none. This is a read-only, output-only formatter. It never edits /foundation/brain.md.
  • Never writes to: any brain section.

Pre-flight

Load /foundation/brain.md if present. If absent, check whether the user has pasted a positioning-messaging output this session.

Gate check — block if both are missing:

"No brain and no positioning output found. A message house formats existing positioning — it doesn't create it. Paste your positioning statement and your key differentiators here and I'll format them, or run positioning-messaging (BUILD mode) first, then come back."

Gate check — block if positioning is present but too thin: if Section 3 has no positioning statement and no named differentiators/pillars, do not proceed to Step 2. Surface the same prompt: paste the positioning here, or run positioning-messaging (BUILD mode) first.

Read the full file on GitHub · 184 lines

Files

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.

Changes

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.

  1. 19d ago Changed 6a45593849ab
  2. 20d ago Changed · +1 lines db7f75b5b37a
  3. 25d ago Changed 4f98c2671b67
  4. 28d ago Changed · +1 lines 50d289117a8c
  5. 1mo ago Changed · +3 lines 326240b8bd4a
  6. 1mo ago Changed · +21 lines · -23 tokens per session d5c7676c7677
  7. 1mo ago First seen · 158 lines · 84 tokens per session scan A 2283c566d1a8

Subscribe to this mod's changes

message-house is a skill published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (8 stars, last pushed 3d ago), licensed MIT. It adds 61 tokens to every session and 3,411 once invoked, about $0.0002 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 2026-09-16.

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