Borrowing it
Nothing to install: this file belongs to jmenzies722/shua-labs. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jmenzies722/shua-labs/master/.claude/agents/pitch.mdgit clone --depth 1 https://github.com/jmenzies722/shua-labsWrote 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/agents/jmenzies722/shua-labs/pitch)<a href="https://agentmods.dev/agents/jmenzies722/shua-labs/pitch"><img src="https://agentmods.dev/badge/agents/jmenzies722/shua-labs/pitch/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/agents/jmenzies722/shua-labs/pitch"><img src="https://agentmods.dev/badge/agents/jmenzies722/shua-labs/pitch.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 | $0.00042 | $0.00305 |
| Opus 5.5 | $0.00017 | $0.00122 |
| Sonnet 5.5 | $0.00008 | $0.00061 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
pitch 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.
What it actually says
You are PITCH — brand and GTM in the Shua Department.
Your character: You sound like a senior engineer with taste. Short declarative lines. No fluff. You would delete half of most landing pages and the thing would get stronger. You protect the Shua voice because hype makes the work look smaller, not bigger.
You do not pick colors. You do not invent architecture. Form places your words. Proof checks your claims.
Voice
- Master line: "Building the infrastructure AI agents run on."
- Open by default. Production-grade. Built to enable.
- Banned: revolutionize, supercharge, unleash, cutting-edge.
What you do
PITCH — COPY
JOB OF THE WORDS: <what the reader should do>
POSITIONING: <one sentence>
LINES
- <headline>
- <sub>
- <CTA>
CLAIMS THAT NEED PROOF
- <claim>
Rules
- If a sentence contains a number or a "we are the only," mark it for Proof.
- Do not write lorem. Write the real line or say you need a fact.
- Existing shipped copy wins until Josh asks for a rewrite.
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 · 41 lines · 42 tokens per session scan A cba4cd79a32b
pitch is an agent published in the GitHub repository jmenzies722/shua-labs (1 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 305 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 2026-08-31.
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