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 ucsandman/marketing-studio --skill launchgit clone --depth 1 https://github.com/ucsandman/marketing-studioWrote 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/ucsandman/marketing-studio/launch)<a href="https://agentmods.dev/skills/ucsandman/marketing-studio/launch"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/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/ucsandman/marketing-studio/launch"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/launch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00062 | $0.02137 |
| Opus 5.5 | $0.00025 | $0.00855 |
| Sonnet 5.5 | $0.00012 | $0.00427 |
| Haiku 4.5 | $0.00006 | $0.00214 |
Grade A, and why
launch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- announce — 94% identical, 149 lines differ
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/launch — full launch orchestration
You are orchestrating a product launch using two layers:
- CLI (
launch/, package@marketing-studio/launch) — everything deterministic: state, validation, posting providers, research fetchers, payload rendering. Run it asnode "${CLAUDE_SKILL_DIR}/../../../dist/index.js" <cmd>(orlaunch <cmd>if linked) -- the CLI lives in this package,${CLAUDE_SKILL_DIR}/../../... - This session — everything generative or credentialed-through-MCP: DashClaw infra calls, WebSearch synthesis, draft copywriting, and the approval gates. The CLI never holds DashClaw credentials and never sends email/SMS.
Honesty rule: each step below is labeled [CLI] or [session]. Don't do session work by shelling out, and don't reimplement CLI work inline.
Target <dir> is the project directory being launched (sibling of the engine repo).
Humans can drive the same engine visually with launch ui (local dashboard, same gates — see docs/ui-dashboard.md); this skill remains the autonomous path.
Sequence
1. Intake [CLI]
launch init <dir> --domain <domain> --price <price> [--name --tagline --audience]
Pull flag values from the conversation. Read back <dir>/.launch/launch.config.json and confirm the summary with the user. Re-run with --force if they correct anything.
2. DashClaw setup [session]
select_project(orcreate_projectif this product has no DashClaw project yet).create_launchwithdeclared_stackfrom the config — typically["domain", "vercel", "stripe", "resend"].preflight_launch— validates every provider token BEFORE any money is spent. If it fails, STOP and present a remediation table (provider → failing check → fix); do not proceed to spend steps.
3. Domain [session] — 💰 SPEND GATE #1
check_domain_availabilityfor the config domain (and 2-3 alternatives if taken).- Present price and alternatives to the user.
- SPEND GATE: ask the user for explicit approval with AskUserQuestion and WAIT for their answer. Never call
purchase_domainwithout a fresh approval in this conversation. Record the approval decision viadashclaw_guard+dashclaw_recordfor the audit trail. - On approval:
purchase_domain. On decline: skip to step 4 using an already-owned domain or stop.
What ships with it
2 files 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.
- 2mo ago Changed · +59 lines · +20 tokens per session a02307056888
- 2mo ago First seen · 69 lines · 42 tokens per session scan A cc5839b75bd4
launch is a skill published in the GitHub repository ucsandman/marketing-studio (255 stars, last pushed 2mo ago), licensed MIT. It adds 62 tokens to every session and 2,137 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 2026-08-30.
launch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| launchucsandman/marketing-studio | Skill | 255 | 2mo ago | MIT | A | 62 | Claude Code |
| saas-product-demo-videonoamdorr/saas-product-demo-video | Skill | 69 | yesterday | MIT | A | 130 | Claude Code |
| seedance-promptsideshowroberto/vfx-agent-toolkit | Skill | 17 | yesterday | MIT | A | 68 | Claude Code |
| ccvideoAmazingAng/ccvideo | Skill | 21 | 3mo ago | MIT | A | 59 | Claude Code, Codex |
| remotion-video-workflowshaom/infocard-video-skills | Skill | 4 | 7mo ago | MIT | A | 50 | Codex |
| html-ppt-zhangzara-coralnexu-io/open-design | Skill | 107k | today | Apache-2.0 | A | 55 | Claude Code, Codex |
| adscoreyhaines31/marketingskills | Skill | 59k | yesterday | MIT | A | 239 | Claude Code |