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 meeting-prepgit 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/meeting-prep)<a href="https://agentmods.dev/skills/nimbleway/agent-skills/meeting-prep"><img src="https://agentmods.dev/badge/skills/nimbleway/agent-skills/meeting-prep/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/meeting-prep"><img src="https://agentmods.dev/badge/skills/nimbleway/agent-skills/meeting-prep.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 28 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 Rogue Agent · line 418 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.
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 | $0.00195 | $0.05626 |
| Opus 5 | $0.00097 | $0.02813 |
| Sonnet 5 | $0.00039 | $0.01125 |
| Haiku 4.5 | $0.00019 | $0.00563 |
Grade A, and why
meeting-prep 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 11d 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 — 499 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Prep
Research-powered meeting preparation with attendee intelligence and company context.
User request: $ARGUMENTS
Before running any commands, read references/nimble-playbook.md for Claude Code
constraints (no shell state, no &/wait, sub-agent permissions, communication style).
Instructions
Step 0: Preflight
Follow the transport selection + standard preflight from references/nimble-playbook.md — pick CLI or MCP at session start, then run the standard preflight calls (date calc, today, profile, memory index) in parallel.
From the results:
- CLI missing or API key unset →
references/profile-and-onboarding.md, stop - Tag all
nimbleCLI calls:nimble --client-source nimble-agent-skills <subcommand>. MCP requests are attributed at the transport level — seereferences/nimble-playbook.md. - Profile exists → read
~/.nimble/memory/people/index.mdto identify existing person profiles. Load relevant~/.nimble/memory/people/files for attendees before — skip redundant searches, surface prior meeting notes. Follow[[path/entity]]cross-references in person files: if an attendee's file links to[[competitors/widgetco]], load that competitor file for richer context (e.g., recent intel from competitor-intel runs). Also check~/.nimble/memory/companies/for cached company research. No same-day report check — meeting-prep is per-meeting, not per-day. Users may prep for multiple meetings in one day. Instead, check entity freshness: if a person/company profile was updated within the last 24 hours, offer to reuse it: "I have a recent profile for [Name] from earlier today. Use it, or refresh?" - No profile → that's fine. Meeting prep doesn't require onboarding. Proceed to Step 1.
Step 1: Gather Meeting Context
Parse the meeting details from $ARGUMENTS or ask the user.
Calendar shortcut: If the user didn't specify attendees and a calendar connector
is available — either a calendar MCP tool (look for list_events in the tool list)
or the gws CLI (gws calendar +agenda --today) — offer to pull today's meetings
so they can pick one. If neither is available, skip this silently.
What ships with it
4 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.
- 11d ago First seen · 499 lines · 195 tokens per session scan A 78a23ebf6491
meeting-prep is a skill published in the GitHub repository Nimbleway/agent-skills (53 stars, last pushed 15d ago), licensed MIT. It adds 195 tokens to every session and 5,626 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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