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 read_touchgit 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/read_touch)<a href="https://agentmods.dev/skills/espressif/esp-claw/read_touch"><img src="https://agentmods.dev/badge/skills/espressif/esp-claw/read_touch/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/read_touch"><img src="https://agentmods.dev/badge/skills/espressif/esp-claw/read_touch.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 | $0.00055 | $0.00574 |
| Opus 5.5 | $0.00022 | $0.00230 |
| Sonnet 5.5 | $0.00011 | $0.00115 |
| Haiku 4.5 | $0.00006 | $0.00057 |
Grade A, and why
read_touch 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 today.
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
Read Touch
Use this skill only to read smooth values from capacitive touch input channels.
Run exactly one script with lua_run_script.
Read board_hardware_info before assigning GPIOs. Verify the requested GPIOs are touch-capable for the target chip and are not occupied by unrelated board hardware.
If lua_run_script returns an error, report that error directly to the user. Do not retry with changed GPIOs unless the user explicitly asks.
Script Args Schema
{
"type": "object",
"required": ["gpios"],
"properties": {
"gpios": {
"type": "array",
"items": {
"type": "integer",
"minimum": 0
},
"minItems": 1,
"description": "Touch-capable GPIO numbers to sample."
},
"samples": {
"type": "integer",
"default": 10,
"minimum": 1,
"maximum": 100
},
"interval_ms": {
"type": "integer",
"default": 200,
"minimum": 0,
"maximum": 10000
}
}
}
Tool Call Inputs
Read one sample from several touch GPIOs:
{"path":"{CUR_SKILL_DIR}/scripts/read_touch.lua","args":{"gpios":[2,3,4],"samples":1}}
Read repeated smooth values:
{"path":"{CUR_SKILL_DIR}/scripts/read_touch.lua","args":{"gpios":[2,3,4,5],"samples":20,"interval_ms":300}}
Recommended Flow
- Activate
board_hardware_infobefore operating touch hardware. - Use only explicit
gpiosfrom the user or from verified board hardware information. - Run
{CUR_SKILL_DIR}/scripts/read_touch.luawithgpios,samples, andinterval_ms. - Report the returned
smoothvalues by sample, GPIO, and touch channel.
Output Meaning
smooth: smoothed touch sensor data fromTOUCH_CHAN_DATA_TYPE_SMOOTH.gpio: input GPIO sampled by the touch driver.channel: touch sensor channel mapped from the GPIO.
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.
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.
- today Changed · -1 lines 1977db641fdb
- 1mo ago First seen · 82 lines · 55 tokens per session scan A b5d62f8737d2
read_touch is a skill published in the GitHub repository espressif/esp-claw (2,260 stars, last pushed yesterday), licensed Apache-2.0. It adds 55 tokens to every session and 574 once invoked, about $0.0002 per session on Opus 5.5. 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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