ESP-Claw is an AI agent framework that runs on Espressif IoT chips and lets people define device behavior through conversation. It handles local sensing, decision-making, and execution for connected devices, with support for event-driven actions, structured memory, and MCP communication.
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 espressif/esp-claw --skill skills_lab_searchgit clone --depth 1 https://github.com/espressif/esp-clawWrote 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/espressif/esp-claw/skills_lab_search)<a href="https://agentmods.dev/skills/espressif/esp-claw/skills_lab_search"><img src="https://agentmods.dev/badge/skills/espressif/esp-claw/skills_lab_search/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/espressif/esp-claw/skills_lab_search"><img src="https://agentmods.dev/badge/skills/espressif/esp-claw/skills_lab_search.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 | $0.00033 | $0.01143 |
| Opus 5 | $0.00016 | $0.00571 |
| Sonnet 5 | $0.00007 | $0.00229 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
skills_lab_search 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skills Lab Search
Use this skill when the user wants to search or discover skills from the ESP-Claw's Skill hub.
When to use
- The user wants to search for skills from the ESP-Claw's Skill hub.
- The user provides a topic, feature, peripheral, tag, or category and wants matching skill candidates.
- The user does not know the exact skill id needed by
skills_lab_downloader.
Hard rules
- Before searching, make sure
cap_web_searchis enabled and available. If it is unavailable, stop and tell the user to enable web search first. - Prefer English keywords for better search results unless the user provides a specific query.
- Always URL encode the full query string before appending it to
https://skills-lab.esp-claw.com/api/search?q=. - Use the search API endpoint directly. Do not scrape the web UI page for results.
- If the user asks which tags, peripherals, or categories are available, fetch
https://skills-lab.esp-claw.com/raw/tags.jsonand summarize the relevant values. - Preserve advanced search syntax exactly before URL encoding:
t:"tag",p:"peripheral", andc:"category". - Use
featured=truewhen the user wants to filter results to featured skills only. - If the user asks to list all available skills, request featured skills only with
featured=trueand noqparameter, present those featured skills, and ask the user for more specific search criteria. - After presenting results, remind the user that installation requires the exact skill id and can be done with
skills_lab_downloader.
Search syntax
- Free text keywords:
bilibili fans - Tag filter:
t:"info" - Peripheral filter:
p:"display" - Category filter:
c:"utility" - Filters can be combined with free text keywords:
bilibili fans t:"info" - A filter-only query is valid:
t:"info" - Featured-only filter:
featured=true
Available tag, peripheral, and category values can be checked at:
https://skills-lab.esp-claw.com/raw/tags.json
Workflow
- If the user asks to list all available skills, request featured skills only with no
qparameter:
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 · 120 lines · 33 tokens per session scan A 143bc8882462
skills_lab_search is a skill published in the GitHub repository espressif/esp-claw (2,104 stars, last pushed 2d ago), licensed Apache-2.0. It adds 33 tokens to every session and 1,143 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.
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