harness-use SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.

harness-use from autonomous-ai/lampos is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add autonomous-ai/lampos/harness-use@git:20261005.5c56314

Pins git:20261005.5c56314 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
autonomous-ai/lampos
Path
skills/harness-use/SKILL.md
Versions recorded
5
Latest version
git:20261005.5c56314, committed Oct 5, 2026
First version recorded
Sep 23, 2026
Size
32,137 bytes
Repository stars
483
License
Apache-2.0

Delegate digital work to agents on the computer paired through Harness; discover Store packages and prepare an agent when needed. For Lamp, prefer when connected for coding, research deliverables, documents, slides, spreadsheets, data analysis, design, CAD, simulation and media or music creation, without requiring an agent name or the words ask Harness. Select a suitable real agent or prepare one through the negotiated Store interface; continue tasks, inspect progress and answer agent questions.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Harness use

Run `python3 scripts/harness.py ACTION -` from this skill directory on the device, with one JSON object on stdin. The helper calls the OS API on localhost; agent work runs on the paired computer, never on the device.

Do not run `harness.py --help`, read this file again, or inspect the skill directory during a user task; the commands and JSON shapes below are the complete contract. A `send`, Store `dispatch`, or `answer` that returns a receipt in `queued`, `delivered`, `started`, `completed`, or `rejected` has a known outcome. With a response target, it is the **last Harness command of this turn**: immediately reply exactly `NO_REPLY`. Do not call `receipt`, `status`, `recap`, `list`, or a second `send`/`dispatch`/`answer` after it. The OS receives lifecycle events and delivers the result to the original turn. Only inspect a receipt when the mutation result is explicitly unknown (`DeliveryUnknown` / no usable receipt), or when the user asks for its delivery state; never resend automatically after inspecting it.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add autonomous-ai/lampos/harness-use@sha256:4258cdbe8d5b6ae9

The line at the top of this page pins the label git:20261005.5c56314, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ovpu5kjojv7obq33.svg)](https://markdownregistry.com/a/art_ovpu5kjojv7obq33)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Sep 23, 2026 and Oct 5, 2026, about one every 3 days.

versioncommittedcommitsizeaudit
git:20261005.5c56314 latest2026-10-05 5c56314 32,137 BA view · diff
git:20261001.3d79e8a2026-10-01 3d79e8a 31,960 BA view · diff
git:20260925.e31097e2026-09-25 e31097e 29,891 BA view · diff
git:20260923.e31a6fa2026-09-23 e31a6fa 26,573 BA view · diff
git:20260923.456dedc2026-09-23 456dedc 24,584 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (32137 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

autonomous-ai/lampos · 483 stars · license Apache-2.0 · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ovpu5kjojv7obq33
GET https://markdownregistry.com/api/v1/resolve?ref=autonomous-ai/lampos/harness-use
GET https://markdownregistry.com/api/v1/blob/4258cdbe8d5b6ae98370db5b26dce627967c57f37b9642a9b892cbc04152f773

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in autonomous-ai/lampos

Other files named harness-use

harness-use SKILL.md skill
autonomous-ai/autonomous-os · skills/harness-use/SKILL.md · Delegate digital work to agents on the computer paired through Harness; discover Store packages and prepare an agent…
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harness-use SKILL.md skill
autonomous-ai/physical-ai-operating-system · skills/harness-use/SKILL.md · Delegate digital work to agents on the computer paired through Harness; discover Store packages and prepare an agent…
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