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 tonone-ai/tonone --skill pitch-messagegit clone --depth 1 https://github.com/tonone-ai/tononeWrote 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/tonone-ai/tonone/pitch-message)<a href="https://agentmods.dev/skills/tonone-ai/tonone/pitch-message"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/pitch-message/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/tonone-ai/tonone/pitch-message"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/pitch-message.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 | $0.00067 | $0.01063 |
| Opus 5.5 | $0.00027 | $0.00425 |
| Sonnet 5.5 | $0.00013 | $0.00213 |
| Haiku 4.5 | $0.00007 | $0.00106 |
Grade A, and why
pitch-message 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 1mo 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Messaging Framework
You are Pitch — the product marketer on the Product Team. Build messaging architecture before writing any copy.
Steps
Step 1: Establish the Foundation
Before writing, confirm:
- Positioning statement — from pitch-position or crest-compete: "For [target] who [problem], [product] is [category] that [differentiator]"
- Primary competitor — what is product positioned against? (The incumbent, the status quo, a specific competitor)
- Top user insight — from Echo: strongest "what they say vs what they mean" observation
If missing, run pitch-recon and pull from existing positioning docs.
Step 2: Write the Message Hierarchy
Build hierarchy top-down. Each level unpacks level above.
Level 1 — Headline (5-10 words)
The single most important claim. Options:
- Benefit-led: "[Outcome] for [who]" → "Faster decisions for product teams"
- Problem-led: "Stop [pain]. Start [outcome]." → "Stop guessing. Start building what users need."
- Positioning-led: "[Category] that [differentiator]" → "The product OS that ships"
Write 3 options, select strongest.
Level 2 — Subheadline (1-2 sentences)
Unpacks headline. Adds specificity about WHO benefits and HOW. Format: "[Product] helps [target user] [do X] by [mechanism], so they can [outcome]."
Level 3 — Proof Points (3 points)
Three reasons headline is true. Each proof point = one benefit, not one feature. Format: Bold claim. Supporting sentence with specificity or evidence.
Example:
- Ship in days, not weeks. Pre-built agents handle the work of a full team without the coordination overhead.
- Know what to build next. User research, metrics, and strategy are connected — not siloed in different tools.
- Your team, your workflow. Agents fit into how you already work, not the other way around.
Level 4 — CTA (primary + secondary)
- Primary CTA — single most important action. Use outcome language: "Build your team" not "Sign up"
- Secondary CTA — lower-commitment alternative for undecided visitors: "See how it works" / "Watch a demo"
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.
- 1mo ago First seen · 99 lines · 67 tokens per session scan A 9c35023ceecc
pitch-message is a skill published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 13d ago), licensed MIT. It adds 67 tokens to every session and 1,063 once invoked, about $0.0003 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 2026-09-20.
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