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 Nimbleway/agent-skills --skill launch-monitorgit clone --depth 1 https://github.com/Nimbleway/agent-skillsWrote 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/nimbleway/agent-skills/launch-monitor)<a href="https://agentmods.dev/skills/nimbleway/agent-skills/launch-monitor"><img src="https://agentmods.dev/badge/skills/nimbleway/agent-skills/launch-monitor/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/nimbleway/agent-skills/launch-monitor"><img src="https://agentmods.dev/badge/skills/nimbleway/agent-skills/launch-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 31 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 80 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00204 | $0.05917 |
| Opus 5 | $0.00102 | $0.02959 |
| Sonnet 5 | $0.00041 | $0.01183 |
| Haiku 4.5 | $0.00020 | $0.00592 |
Grade A, and why
launch-monitor 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 491 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch Monitor
Monitors press, social, and community forums from launch day — tracking sentiment, flagging mischaracterizations, surfacing competitor responses, and recommending actions so you can respond fast.
Onboarding message
When this skill is triggered for the first time in a session, send this message. Send it exactly once per session, before asking any setup questions. Do not skip it even when the user's opening message already names a product — the onboarding sets expectations for what the skill collects and how it works.
👋 Launch Monitor is ready.
This skill monitors press, social media, developer communities, and competitor channels around a product launch — tracking sentiment, flagging mischaracterizations, surfacing competitor responses, and telling you exactly what to respond to and how.
To start, just say: "Monitor the launch of [product name]"
Or try:
- "Track coverage since we announced [product] yesterday"
- "What's the reaction to our [product] launch?"
- "Flag any mischaracterizations in our [product] press coverage"
- "How are competitors responding to our [product] launch?"
Would you like me to save your preferences so I skip the questions next time?
Preflight
Follow the transport selection and standard preflight from references/nimble-playbook.md: pick CLI vs MCP at session start, then run the parallel preflight calls (date, profile, memory index) simultaneously. Tag every Nimble CLI call: nimble --client-source nimble-agent-skills <subcommand>.
From the profile (~/.nimble/business-profile.json): load product/brand context and last_runs.launch-monitor for date windowing. Pre-populate setup questions so the user confirms rather than re-enters. If no profile exists, follow the first-run onboarding flow in references/profile-and-onboarding.md and create a stub after the first run.
How to start
Before asking anything, do two quick research steps:
Step A — Resolve alternate names automatically: Search for the product the user named to discover all alternate names, codenames, version names, and related search terms. Do not ask the user for this. Use what you find to build a comprehensive search term list for Step 1.
- Search:
"[product name]" official name OR "also known as" OR codename OR version - For Apple products, always check for internal codename, model number, and marketing name variants
- For software: check GitHub repo names, API names, and SDK names
- Add all confirmed variants to your search queries silently — the user never needs to see this step
What ships with it
5 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.
- 12d ago First seen · 491 lines · 204 tokens per session scan A 9d21d7c602fd
launch-monitor is a skill published in the GitHub repository Nimbleway/agent-skills (53 stars, last pushed 16d ago), licensed MIT. It adds 204 tokens to every session and 5,917 once invoked, about $0.0010 per session on Opus 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.
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