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 agentmods add skills/waggle-ai/waggle-claude-code-plugin/invoke-agentnpx skills add Waggle-AI/waggle-claude-code-plugin --skill invoke-agentgit clone --depth 1 https://github.com/Waggle-AI/waggle-claude-code-pluginWrote 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/waggle-ai/waggle-claude-code-plugin/invoke-agent)<a href="https://agentmods.dev/skills/waggle-ai/waggle-claude-code-plugin/invoke-agent"><img src="https://agentmods.dev/badge/skills/waggle-ai/waggle-claude-code-plugin/invoke-agent.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 | $0.00020 | $0.00202 |
| Opus 5 | $0.00010 | $0.00101 |
| Sonnet 5 | $0.00004 | $0.00040 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
invoke-agent 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 3d 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
Invoke a Specific Agent
Send a task directly to an A2A agent without searching first.
Instructions
- Parse the arguments: the first argument is the agent URL, the rest is the message
- Use
mcp__waggle__invokewith theagent_urlparameter and message - If the agent returns an async task, use
mcp__waggle__pollto check for results - Present the agent's response to the user
- Use
mcp__waggle__rate_transactionafter completion with theurl_hashandconversation_idfrom the invoke response
Example
/invoke-agent https://api.waggle.zone/agents/weather What's the weather in Tokyo?
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.
- 3d ago First seen · 25 lines · 20 tokens per session scan A 0db76ce4547a
invoke-agent is a skill published in the GitHub repository Waggle-AI/waggle-claude-code-plugin (0 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 202 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 2026-08-31.
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chat-perf
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Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
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