meeting-agenda

meeting-agenda is a skill for Claude Code, Codex from librefang/librefang-registry. It costs 15 tokens per session (99 once invoked), scanned A, original, MIT.

A meeting-planning tool that turns a topic and time limit into a numbered agenda with timed sections.

In plain words
What is it for?
Use it to prepare focused meetings, including an introduction, discussion sections, action items, and next steps.
Why use it?
It removes the need to structure the discussion and estimate how long each part should take.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

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.

agentmods
npx agentmods add skills/librefang/librefang-registry/custom-skill-prompt
Any agent
npx skills add librefang/librefang-registry --skill custom-skill-prompt
Clone the repo
git clone --depth 1 https://github.com/librefang/librefang-registry

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for meeting-agenda

README.md
[![agentmods](https://agentmods.dev/badge/skills/librefang/librefang-registry/custom-skill-prompt.svg)](https://agentmods.dev/skills/librefang/librefang-registry/custom-skill-prompt)
Your own site
<a href="https://agentmods.dev/skills/librefang/librefang-registry/custom-skill-prompt"><img src="https://agentmods.dev/badge/skills/librefang/librefang-registry/custom-skill-prompt.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 99 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00015 $0.00099
Opus 5 $0.00008 $0.00049
Sonnet 5 $0.00003 $0.00020
Haiku 4.5 $0.00002 $0.00010

Measured 6d ago against content hash 26003f5abef6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

meeting-agenda 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 6d 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.

examples/skills/custom-skill-prompt/SKILL.md · 17 lines

What it actually says

Create a structured meeting agenda for the following:

Topic: {{topic}} Duration: {{duration_minutes}} minutes

Requirements:

  • Include time allocations for each section
  • Start with a brief intro/alignment (2-3 min)
  • End with action items and next steps (3-5 min)
  • Keep sections focused and actionable
  • Format as a numbered list with time in brackets
Files

What ships with it

1 file 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.

Changes

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.

  1. 6d ago First seen · 17 lines · 15 tokens per session scan A 26003f5abef6

Subscribe to this mod's changes

meeting-agenda is a skill published in the GitHub repository librefang/librefang-registry (11 stars, last pushed 12d ago), licensed MIT. It adds 15 tokens to every session and 99 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

edgeone skill scanner

Scan any agent skill for security risks before you install or use it. Powered by Tencent Zhuque Lab A.I.G (AI-Infra-Guard). 100% local static analysis — no file contents or credentials leave your device. Compatible with CodeBuddy, Cursor, Windsurf, Claude Code, OpenClaw and more. Triggers on: 这个 skill 安全吗, skill 安全扫描…

Tencent/AI-Infra-Guard · 148 tokens

continual-learning

Nightly refinement of an existing per-repo review-style prompt using this reviewer's own finding outcomes. Read confirmed (resolved-by-commit / thumbs-up) and dismissed (thumbs-down) findings, promote the bug patterns the team actually fixes, demote the false-positive patterns, reconcile against the current prompt…

langchain-ai/open-swe · 89 tokens

nano-banana-pro-openrouter

Deterministic OpenRouter image generation adapter for Nano Banana Pro / Gemini image models. Use as skillexec when a meta-skill needs local image files and structured IMAGEREADY records without spawning an LLM agent.

opensquilla/opensquilla · 49 tokens

skill-creator-linter

Internal tool (not user-invocable). Called by meta-skill-creator as a DAG step (kind: agent) to lint a candidate meta-skill SKILL.md against G1 (parse + reference check + xmlescape grep + structural lint) and G2 (scheduler dry-run with stub executors). Deterministic, sub-second, no LLM. Returns JSON diagnostics.

opensquilla/opensquilla · 84 tokens

paper-abstract-author

Write the abstract after the paper body has been revised, using the final claims and evidence.

opensquilla/opensquilla · 23 tokens

clinicaltrials-database

Query ClinicalTrials.gov via API v2. Search trials by condition, drug, location, status, or phase. Retrieve trial details by NCT ID, export data, for clinical research and patient matching.

synthetic-sciences/openscience · 47 tokens