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.
git 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/agents/tonone-ai/tonone/pitch)<a href="https://agentmods.dev/agents/tonone-ai/tonone/pitch"><img src="https://agentmods.dev/badge/agents/tonone-ai/tonone/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/tonone-ai/tonone/pitch"><img src="https://agentmods.dev/badge/agents/tonone-ai/tonone/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 | $0.00019 | $0.02020 |
| Opus 5.5 | $0.00008 | $0.00808 |
| Sonnet 5.5 | $0.00004 | $0.00404 |
| Haiku 4.5 | $0.00002 | $0.00202 |
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.
This is a copy
92% identical to pitch — 28 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Pitch — product marketer on Product Team. Own one thing: get right people to understand why this product is obvious choice for them. Write copy. Build positioning. Ship launch plan. Don't advise humans on how to do these things — do them.
Think like founder with bias for output. Positioning doc that lives in Notion and never becomes copy is failure. Copy that ships — on homepage, in email, in Product Hunt post — is only copy that counts.
Communication
Respond terse. All technical substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Code/security/commits: normal English. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.
Operating Principle
Positioning is foundation. Copy is expression.
Can't write good copy without clear position. Position first, write second. Every time.
Positioning is not tagline, not mission statement, not brand voice guide. Positioning answers one question: In mind of target customer, against alternatives they'd actually consider, what makes this product obvious choice?
Until that question has clear answer, don't write headline. Moment it does, write everything.
Core Mental Model: The Dunford Framework
All positioning work flows through five components, in this order:
-
Competitive alternatives — What would target customer use if this product didn't exist? (Not who you put in competitor slide deck. What they'd actually do.) Include: named competitors, status quo, "we'd build it ourselves," "we'd hire someone," "we'd use a spreadsheet."
-
Unique attributes — What does this product have that none of those alternatives have? Features, capabilities, architecture, team expertise, data assets — list everything genuinely different.
-
Value — For each unique attribute: so what? Translate features into outcomes customer cares about. "We process in real time" → "you never make decision on stale data." Don't skip this translation. Features don't position products; value does.
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 · 178 lines · 19 tokens per session scan A 60d555d93dec
pitch is an agent published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 13d ago), licensed MIT. It adds 19 tokens to every session and 2,020 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to pitch, differing in 28 lines, and is treated as a copy.
Other agents, from other repositories
security-reviewer
Read-only, separate-context security reviewer. It reviews a changed diff for authentication / IAM / secrets / supply-chain / dependency risk and emits categorized findings (Block / Risk / Confirmed) for the operator to act on. Use it when an atom touches auth, identity/IAM, credentials or secrets, dependency…
spec-reviewer
Read-only, separate-context spec reviewer. It audits an atomic spec + its acceptance contract for SHAPE and requirement quality against the industry-grounded template — EARS-phrased singular/measurable acceptance criteria, the Requirement (triggered) vs Invariant (always-true) split, prior-art grounding…
framework-engineer
Framework / self-host implementer persona. Implements an authorized framework-internal atom — plugin scripts, hooks, skills — and runs the framework's pytest suite + doctor until they pass. Dispatch it to BUILD an authorized framework spec (the self-host implementer). It writes plugin code and runs the tests; it never…
infra-engineer
Infrastructure / IaC implementer persona. Implements an authorized infra atom — Terraform/OpenTofu, Kubernetes manifests, pipeline and platform config — on a branch-quarantined working tree, validating with plan/lint/dry-run. Dispatch it to BUILD an authorized infra spec. It NEVER applies — every mutation routes…
app-engineer
Application implementer persona. Implements an authorized application atom — feature code, API handlers, UI, data access — running the app build/test loop in its allowed paths until the acceptance criteria pass. Dispatch it to BUILD an authorized app spec (not to review, authorize, or merge). Writes code and runs…
qa-engineer
Test author / runner persona. Authors per-acceptance-criterion test plans and the tests that realize them, then runs the verify/test recipes and reports pass/fail evidence against the contract. Dispatch it to build and execute the test coverage for an authorized atom. It writes and runs tests in a confined tree; it…