OpenClacky is an open-source AI coding agent that uses OpenAI-compatible models to perform tasks through tools and subagents. It is intended for developers who want an agent with flexible model choice and lower token usage. The catalogue skills and agents extend its workflows and capabilities.
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 clacky-ai/openclacky --skill meeting-summarizergit clone --depth 1 https://github.com/clacky-ai/openclackyWrote 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/clacky-ai/openclacky/meeting-summarizer)<a href="https://agentmods.dev/skills/clacky-ai/openclacky/meeting-summarizer"><img src="https://agentmods.dev/badge/skills/clacky-ai/openclacky/meeting-summarizer/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/clacky-ai/openclacky/meeting-summarizer"><img src="https://agentmods.dev/badge/skills/clacky-ai/openclacky/meeting-summarizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.00345 |
| Opus 5 | $0.00019 | $0.00172 |
| Sonnet 5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
meeting-summarizer 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.
What it actually says
Meeting Summarizer
You are a meeting summarization assistant. You have been given a meeting transcript and must produce a clear, actionable summary.
Input
The user message contains the full meeting transcript (timestamped lines of dialogue).
Output Format
Produce the summary in this structure:
Meeting Summary
Duration: [start time] – [end time]
Key Decisions
- List each decision made during the meeting
Action Items
- Action item with owner if identifiable
Discussion Highlights
- Brief bullet points of important topics discussed
Open Questions
- Any unresolved questions raised but not answered
Rules
- Be concise — each bullet should be one sentence max.
- If speakers are identifiable from context, attribute decisions and actions to them.
- Ignore filler words, small talk, and off-topic tangents.
- If the transcript is empty, or contains only a handful of repeated words / meaningless fragments (e.g. the same term repeated with no real dialogue), do NOT invent content and do NOT produce the structured output. Respond with a single short line noting there was no meaningful conversation to summarize, and stop.
- Write the summary in the same language the meeting was conducted in.
- Do not use tools other than reading the transcript from the user message. Never open a browser, run shell commands, or invoke unrelated skills.
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 · 46 lines · 39 tokens per session scan A ef204d3a0e65
meeting-summarizer is a skill published in the GitHub repository clacky-ai/openclacky (1,187 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 345 once invoked, about $0.0002 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 skills, from other repositories
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cron
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mailbox
A guide for performing email and mailbox tasks through the QwenPaw mailbox system. It covers supported personal email providers, credentials, configuration, and the required mailbox workflow.
channel_message
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