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 announcegit 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/announce)<a href="https://agentmods.dev/skills/ucsandman/marketing-studio/announce"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/announce/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/announce"><img src="https://agentmods.dev/badge/skills/ucsandman/marketing-studio/announce.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 | $0.00044 | $0.01429 |
| Opus 5 | $0.00022 | $0.00714 |
| Sonnet 5 | $0.00009 | $0.00286 |
| Haiku 4.5 | $0.00004 | $0.00143 |
Grade A, and why
announce scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Discord/Telegram: existing webhooks (curl). This is a copy
94% identical to launch — 149 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch: ship → announce → measure
Chains existing capabilities into one launch pass. Draft everything, send nothing without approval — external comms are a CLAUDE.md Hard Stop.
The announcement rules below are distilled from sharing research and current platform-algorithm behavior; the full notes (per-platform signal weights, HN/PH/Reddit norms, sources) are in references/virality.md — read it when drafting for a channel not covered here or when the user asks why a rule exists. For strategy above the per-post mechanics (ORB channel portfolio, five-phase rollout, relaunch cadence, measurement loop), read references/strategy.md — especially when planning a launch rather than executing one.
1. Pre-flight (verify, don't assume)
- Uncommitted work? Run
/shipfirst. - Prod deploy live: check latest deployment status/logs (offlocal
get_latest_deployment_logs/ Vercel tools). - Domain resolves, HTTPS works, OG meta + title + favicon present: fetch the live page and look.
- UI-facing? Run
/de-vibeif it hasn't had a pass.
2. Assets
- Changelog entry (one contiguous pasteable block).
- Screenshot or demo GIF: chrome-devtools
take_screenshotor claude-in-chromegif_creatoragainst the live site. This is not optional garnish — visual proof of the thing working is the single most shared element of an indie launch post, and image posts get ~150% more reposts than text-only on X. - Landing copy sanity: does the page pass the 10-second first-glance test?
3. Announcement drafts (draft only — approval gate before ANY send)
Write all of these, then stop and present for approval.
What makes a draft spread (apply to every channel):
- Lead with a hook that opens a specific curiosity gap. "I lost 40 hours to X before finding why" works; "here's a mistake to avoid" doesn't. Vague hooks get scrolled past; hooks the post doesn't deliver on burn trust and completion rate.
- Emotional charge over safe-and-informational. Research on 7,000 viral articles: high-arousal emotion (awe, anger, surprise) drives sharing; flat announcement copy fails regardless of accuracy. Find the surprising angle — the number, the contrarian take, the before/after — not "we're excited to announce."
- Give the sharer social currency. People share what makes them look in-the-know. Include one insider fact or usable takeaway that the reader can pass along as their own discovery.
- Receipts beat claims. A screenshot of the thing actually working (or the real dashboard number) out-spreads polished marketing copy. "Fast" is a claim; a 3-second GIF is proof.
- No engagement bait ("like if you agree", "comment YES") — every major platform now classifies and halves it.
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.
- 4d ago First seen · 69 lines · 44 tokens per session scan A 8bc51b9b15c6
announce is a skill published in the GitHub repository ucsandman/marketing-studio (228 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 1,429 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 94% identical to launch, differing in 149 lines, and is treated as a copy.
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