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.
git clone --depth 1 https://github.com/flonat/flonat-researchWrote 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/commands/flonat/flonat-research/meetings-prep)<a href="https://agentmods.dev/commands/flonat/flonat-research/meetings-prep"><img src="https://agentmods.dev/badge/commands/flonat/flonat-research/meetings-prep.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.00125 |
| Opus 5 | $0.00034 | $0.00063 |
| Sonnet 5 | $0.00014 | $0.00025 |
| Haiku 4.5 | $0.00007 | $0.00013 |
Grade A, and why
meetings-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 8d 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.
What it actually says
Shared skill adapter
Read and follow ~/.claude/shared-skills/meetings-prep/SKILL.md. Resolve bundled resources relative to ~/.claude/shared-skills/meetings-prep/.
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.
- 8d ago First seen · 11 lines · 69 tokens per session scan A dfae0f688246
meetings-prep is a command published in the GitHub repository flonat/flonat-research (132 stars, last pushed 13d ago), licensed MIT. It adds 69 tokens to every session and 125 once invoked, about $0.0003 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.
Other commands, from other repositories
run
Execute prompt(s) from ./prompts/ with automatic archiving - for structured prompt-based work.
statusbar-doctor
Run cs doctor to diagnose why the status bar isn't showing what you expect.
setup-agents
Scaffold a multi-agent AI setup for any repo. Scans the codebase, interviews the developer, generates agent configs for whichever AI tools the repo uses (Copilot, Claude Code, Cursor, Codex, Windsurf). Use when asked to "set up agents", "scaffold Copilot agents", or "create an AGENTS.md".
update-docs
Auto-update all documentation with command verification and link validation.
upload
Upload a file to Google Drive.
procesar-reuniones
Grupo: Módulos del segundo cerebro En una frase: Analizar notas .md locales y enriquecer contactos/proyectos (Cursor). Cuándo: Tras sincronizar; refinás personas, temas y action items. Quién: Cualquier operador del repo.