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 taizen-ai/taizen-claude-plugins --skill gtm-messaginggit clone --depth 1 https://github.com/taizen-ai/taizen-claude-pluginsWrote 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/taizen-ai/taizen-claude-plugins/gtm-messaging)<a href="https://agentmods.dev/skills/taizen-ai/taizen-claude-plugins/gtm-messaging"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/gtm-messaging/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/taizen-ai/taizen-claude-plugins/gtm-messaging"><img src="https://agentmods.dev/badge/skills/taizen-ai/taizen-claude-plugins/gtm-messaging.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 | $0.00026 | $0.01677 |
| Opus 5.5 | $0.00010 | $0.00671 |
| Sonnet 5.5 | $0.00005 | $0.00335 |
| Haiku 4.5 | $0.00003 | $0.00168 |
Grade A, and why
gtm-messaging 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.
How it starts
The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GTM Messaging Skill
Core messaging principles that ensure consistency across all go-to-market outputs.
Purpose
Ensure all GTM communications align with established value propositions, messaging frameworks, and brand voice guidelines.
Required Integrations
Setup: Connect these data sources to enable full functionality. Claude will prompt you to connect any missing integrations when you use this skill.
Data Sources
# GTM MESSAGING DATA SOURCES
# Configure the sources for your messaging foundations
# Enterprise Search (searches across all internal sources)
- source: enterprise_search
connector: "{{GLEAN | MOVEWORKS | ELASTIC}}"
data:
- internal_docs
- wiki_content
- shared_drives
# Messaging Documentation
- source: messaging_docs
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION | CONFLUENCE}}"
paths:
- "/Marketing/Messaging Framework/"
- "/Marketing/Value Propositions/"
- "/Marketing/Brand Guidelines/"
- "/Product Marketing/Positioning/"
# Customer Research
- source: customer_research
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
paths:
- "/Research/Voice of Customer/"
- "/Research/Win-Loss/"
- "/Research/Persona Research/"
# Sales Enablement
- source: sales_content
connector: "{{SEISMIC | HIGHSPOT | SHOWPAD}}"
data:
- approved_messaging
- sales_decks
- talk_tracks
Output Destinations
# Where to deliver messaging outputs
outputs:
# Always available - display in Claude UI
- type: display
enabled: true
# Save to messaging library
- type: documents
connector: "{{GOOGLE_DRIVE | SHAREPOINT | NOTION}}"
destination: "/Marketing/Messaging/"
Instructions for Claude
IMPORTANT: Before executing this skill, you MUST validate the configuration above.
Pre-Execution Checklist
- Check for placeholder values: Scan the YAML configuration for any
{{...}}placeholders. These indicate required configuration that the user must provide.
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 · 229 lines · 26 tokens per session scan A cbc69bc4a178
gtm-messaging is a skill published in the GitHub repository taizen-ai/taizen-claude-plugins (8 stars, last pushed 5mo ago), licensed MIT. It adds 26 tokens to every session and 1,677 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.
gtm-messaging compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gtm-messagingtaizen-ai/taizen-claude-plugins | Skill | 8 | 5mo ago | MIT | A | 26 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |