read_touch

read_touch is a skill for Claude Code, Codex from espressif/esp-claw. It costs 55 tokens per session (574 once invoked), scanned A, original, Apache-2.0.

A tool for reading smoothed values from capacitive touch sensors connected to GPIO pins, which are numbered input/output connections on a hardware board. It can read one or more touch channels.

In plain words
What is it for?
Use it to sample touch-capable GPIO channels, either once or repeatedly at a chosen interval. It is intended for reading sensor values, not assigning pins or changing hardware settings.
Why use it?
It provides touch readings while requiring the requested pins to be checked against the board's hardware information first. This reduces the risk of using a pin that cannot sense touch or is already needed elsewhere.

Skill for Claude CodeCodex

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

Good fit Use it to sample touch-capable GPIO channels, either once or repeatedly at a chosen interval. It is intended for reading sensor values, not assigning pins or changing hardware settings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/espressif/esp-claw/read_touch
About the project

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.

espressif/esp-claw · 2,260 stars · on GitHub · esp-claw.com

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.

Any agent
npx skills add espressif/esp-claw --skill read_touch
Clone the repo
git clone --depth 1 https://github.com/espressif/esp-claw

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 read_touch

README.md
[![agentmods](https://agentmods.dev/badge/skills/espressif/esp-claw/read_touch/github.svg)](https://agentmods.dev/skills/espressif/esp-claw/read_touch)
Your own site
<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.

agentmods 80×15 button for read_touch

Your own site · 80×15
<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>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 574 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00055 $0.00574
Opus 5.5 $0.00022 $0.00230
Sonnet 5.5 $0.00011 $0.00115
Haiku 4.5 $0.00006 $0.00057

Measured today against content hash 1977db641fdb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

components/lua_modules/lua_driver_touch/skills/read_touch/SKILL.md · 81 lines

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}}
  1. Activate board_hardware_info before operating touch hardware.
  2. Use only explicit gpios from the user or from verified board hardware information.
  3. Run {CUR_SKILL_DIR}/scripts/read_touch.lua with gpios, samples, and interval_ms.
  4. Report the returned smooth values by sample, GPIO, and touch channel.

Output Meaning

  • smooth: smoothed touch sensor data from TOUCH_CHAN_DATA_TYPE_SMOOTH.
  • gpio: input GPIO sampled by the touch driver.
  • channel: touch sensor channel mapped from the GPIO.
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. today Changed · -1 lines 1977db641fdb
  2. 1mo ago First seen · 82 lines · 55 tokens per session scan A b5d62f8737d2

Subscribe to this mod's changes

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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