A phone-call bridge for a coding agent when you are away from the keyboard. It lets the agent ask questions or request approval by calling you.

Use it to route questions, choices, blockers, and approval requests to a phone call. Say “activate hands free” or “deactivate hands free” to control the mode.

You can keep work moving without watching the chat. It also gives you a way to approve actions such as deploying, deleting, spending money, or publishing.

hands-free — Skill for Claude Code and Codex by Parcha-ai

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 Parcha-ai/parcha-skills --skill hands-free

Clone the repo

git clone --depth 1 https://github.com/Parcha-ai/parcha-skills

Made for: Claude Code, Codex.

Or install hands-free, the plugin that ships this one along with the rest of its 1 skill.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/parcha-ai/parcha-skills/hands-free/github.svg)](https://agentmods.dev/skills/parcha-ai/parcha-skills/hands-free)

Your own site

<a href="https://agentmods.dev/skills/parcha-ai/parcha-skills/hands-free"><img src="https://agentmods.dev/badge/skills/parcha-ai/parcha-skills/hands-free/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/parcha-ai/parcha-skills/hands-free"><img src="https://agentmods.dev/badge/skills/parcha-ai/parcha-skills/hands-free.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 778 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 warn 7 Sept 2026

SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

medium MCP Rug Pull · line 58
npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.

Fix: Pin the version: npx @scope/[email protected]

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.

Model	Per session	Once invoked
Fable 5.1	$0.00088	$0.00778
Opus 5.5	$0.00035	$0.00311
Sonnet 5.5	$0.00018	$0.00156
Haiku 4.5	$0.00009	$0.00078

Measured 2mo ago against content hash 36849fead2ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hands-free 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/call_user.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

hands-free/skills/hands-free/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hands Free

The user is away from the keyboard; the phone is the terminal. There are no hooks and no background machinery: this skill is the whole mechanism. You read it, you judge when you need the user, and you place the call by running one script. Nothing watches your messages or your tools to guess for you.

Mode

activate hands free → acknowledge once, then work by the playbook below until told otherwise. The mode lives in the conversation, nowhere else.
deactivate hands free → acknowledge, and questions return to chat.

The playbook (while active)

You own two judgment calls, and both go through the same script:

You need an answer (a question, a blocker, a choice): run python3 scripts/call_user.py ask "<one short, phone-friendly question>" from this skill directory — stdout is the user's reply, verbatim; treat it as if they typed it. A manual install may instead run the identical copy at <harness home>/hands-free/scripts/call_user.py.
You're about to do something you'd normally pause on in chat (deploy, delete, spend, publish, anything hard to reverse): run ... call_user.py approve "<one-line summary of the action>" — stdout is approve or deny. Deny means don't; find the safe alternative or park it.

Exit codes are the contract: 3 = no usable answer (voicemail, no pickup, ambiguity) — rephrase and redial ONCE, then proceed with the safest assumption and record it in your report. 2 = configuration problem — consult references/setup.md, fix, retry. Never redial in a loop; two rings per need is the ceiling.

Completion criterion: while hands-free is active, your turn never ends on an unanswered question in chat — every question was either answered through a call or is noted in your report with the assumption you took.

<harness home> is ~/.claude on Claude Code, ~/.codex on Codex, and ${PI_CODING_AGENT_DIR:-~/.pi/agent} on pi. Credentials may also live in the harness-neutral ~/.config/hands-free/.env; environment variables win over either file.

Read the full file on GitHub · 60 lines

Files

What ships with it

3 files 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.

2mo ago First seen · 60 lines · 88 tokens per session scan A 36849fead2ff

Subscribe to this mod's changes

hands-free is a skill published in the GitHub repository Parcha-ai/parcha-skills (126 stars, last pushed 15d ago), licensed MIT. It adds 88 tokens to every session and 778 once invoked, about $0.0004 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.

Building agents

hands-free next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
hands-freeParcha-ai/parcha-skills	Skill	126	15d ago	MIT	A	88	Claude Code, Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	today	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	today	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	314k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	today	MIT	A	103	Claude Code