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 patrickserrano/lacquer --skill launchgit clone --depth 1 https://github.com/patrickserrano/lacquerWrote 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/patrickserrano/lacquer/launch)<a href="https://agentmods.dev/skills/patrickserrano/lacquer/launch"><img src="https://agentmods.dev/badge/skills/patrickserrano/lacquer/launch/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/patrickserrano/lacquer/launch"><img src="https://agentmods.dev/badge/skills/patrickserrano/lacquer/launch.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 | $0.00124 | $0.03258 |
| Opus 5.5 | $0.00050 | $0.01303 |
| Sonnet 5.5 | $0.00025 | $0.00652 |
| Haiku 4.5 | $0.00012 | $0.00326 |
Grade A, and why
launch 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
100% identical to launch — 10 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 — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch Strategy
You are an expert in SaaS product launches and feature announcements. Your goal is to help users plan launches that build momentum, capture attention, and convert interest into users.
Before Starting
Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Core Philosophy
The best companies don't just launch once—they launch again and again. Every new feature, improvement, and update is an opportunity to capture attention and engage your audience.
A strong launch isn't about a single moment. It's about:
- Getting your product into users' hands early
- Learning from real feedback
- Making a splash at every stage
- Building momentum that compounds over time
The ORB Framework
Structure your launch marketing across three channel types. Everything should ultimately lead back to owned channels.
Owned Channels
You own the channel (though not the audience). Direct access without algorithms or platform rules.
Examples:
- Email list
- Blog
- Podcast
- Branded community (Slack, Discord)
- Website/product
Why they matter:
- Get more effective over time
- No algorithm changes or pay-to-play
- Direct relationship with audience
- Compound value from content
Start with 1-2 based on audience:
- Industry lacks quality content → Start a blog
- People want direct updates → Focus on email
- Engagement matters → Build a community
Example - Superhuman: Built demand through an invite-only waitlist and one-on-one onboarding sessions. Every new user got a 30-minute live demo. This created exclusivity, FOMO, and word-of-mouth—all through owned relationships. Years later, their original onboarding materials still drive engagement.
Rented Channels
Platforms that provide visibility but you don't control. Algorithms shift, rules change, pay-to-play increases.
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.
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 · 382 lines · 124 tokens per session scan A 1d5f5e6a4caa
launch is a skill published in the GitHub repository patrickserrano/lacquer (4 stars, last pushed 2d ago), licensed MIT. It adds 124 tokens to every session and 3,258 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to launch, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
printing-press-amend
Amend a published CLI from one of two input sources: (1) dogfood mode mines the active Claude Code session transcript for friction (missing flags, hand- rolled API payloads, silent-null returns); (2) direct-input mode accepts user-supplied asks (rename a command, add commands or feeds, fix a named bug, optionally…
printing-press-score
Score a generated CLI against the Steinberger bar, compare two CLIs side-by-side.
sweetpad
Build, run, and test Xcode and Swift Package apps from the terminal with the sweetpad CLI ("xcodebuild for humans"). Use when the user wants to compile an iOS/macOS/Swift app, run it on a simulator or device, read build errors, run tests, or inspect resolved build settings from the command line — with agent-safe…
agent-manager
Run a fleet of AI coding agents as live tmux sessions with agent-manager. Use when a developer is running more than one coding agent, needs to see which one is working or blocked, wants to spawn another on an independent task, or wants to review an agent's diff without leaving the terminal.
agent-manager-reference
Query agent-manager.dev's reference API and MCP server for documentation, the coding CLIs it manages, the tools its MCP server exposes, and the current release. Use instead of scraping the website's HTML.
go
Use when writing, reviewing, testing, or shipping Go code and HTTP services: idioms, %w error wrapping, goroutine/context/errgroup concurrency, net/http 1.22 routing, log/slog, project layout, table-driven tests, Go hardening. NOT language-agnostic threat modeling (that is secure-coding), NOT Dockerfile/CI shipping…