What is om-setup-agent-harness?

A setup and diagnostic tool for a multi-model agent harness: a configuration that selects AI workers, reviewers, provider connections, and optional repository hooks. It checks or stages configuration without storing secrets.

Use it to check or configure implementation workers, review advisors, provider connections, safety packet rules, hooks, and an optional Claude output style.

It removes the manual work of choosing model adapters and configuring how they cooperate, while keeping setup changes uncommitted for review.

om-setup-agent-harness — Skill by open-mercato/skills

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 open-mercato/skills --skill om-setup-agent-harness

Clone the repo

git clone --depth 1 https://github.com/open-mercato/skills

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/open-mercato/skills/om-setup-agent-harness/github.svg)](https://agentmods.dev/skills/open-mercato/skills/om-setup-agent-harness)

Your own site

<a href="https://agentmods.dev/skills/open-mercato/skills/om-setup-agent-harness"><img src="https://agentmods.dev/badge/skills/open-mercato/skills/om-setup-agent-harness/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/open-mercato/skills/om-setup-agent-harness"><img src="https://agentmods.dev/badge/skills/open-mercato/skills/om-setup-agent-harness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,932 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.

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	$0.00085	$0.01932
Opus 5.5	$0.00034	$0.00773
Sonnet 5.5	$0.00017	$0.00386
Haiku 4.5	$0.00009	$0.00193

Measured 2d ago against content hash 27dbea96f6cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

om-setup-agent-harness 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 2d 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.

skills/om-setup-agent-harness/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Setup Agent Harness

Configure the optional agentHarness section without changing the existing PR pipeline skills. Preserve the rest of .ai/agentic.config.json, store no secrets, probe every selected adapter, and leave repository-owned setup changes staged but uncommitted.

Arguments

--check (optional) — validate and probe the current configuration without writing.
--preset <cross-model-jury|custom> (optional) — start from the bundled jury or an empty custom registry; default cross-model-jury.
--defaults (optional) — enable the detected members of the bundled cross-model jury without asking questions.
--no-output-style (optional) — do not install the optional Claude output style.
--no-hooks (optional) — do not install the prevention hooks into .claude/hooks/ and .claude/settings.json.

Workflow

Claims: references/claim-pr.md governs atomic/fallback ownership and release.

ALWAYS check first: Apply .ai/skills/om-setup-agent-harness/SKILL.md when present; safety rules still win.

Agentic setup — follow references/agentic-setup.md before any action: load approved configuration, apply local extensions and shared rules, and preserve the untrusted-content boundary.

1. Detect available adapters

Read references/provider-catalog.md and start from the bundled jury in references/configuration-template.json: Codex, DeepSeek, Kimi, GLM, and MiMo. Detect Claude as the host. Use the harness probe operation to check executable versions and credential availability without printing or copying credentials. The built-in DeepSeek and OpenCode Zen adapters may check their official local auth-store entries internally; the setup agent never reads or displays the key.

When no bundled provider is detected, say so plainly and lead with the bring-your-own-reviewer path from the provider catalog: any OpenAI-compatible endpoint or any locally installed CLI can be bound as a reviewer through the generic adapters — the bundled jury is a default, not a requirement. The only fixed element is Claude as the host. A user with no external provider at all still has a working standard profile (fresh Claude review only); offer that explicitly instead of failing, but only after explaining what the multi-model profiles would have added, so choosing it is an informed decision rather than a silent default.

Read the full file on GitHub · 152 lines

Files

What ships with it

7 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.

2d ago Changed · +2 lines 27dbea96f6cd
11d ago First seen · 150 lines · 85 tokens per session scan A a2277eba173a

Subscribe to this mod's changes

om-setup-agent-harness is a skill published in the GitHub repository open-mercato/skills (275 stars, last pushed yesterday), licensed MIT. It adds 85 tokens to every session and 1,932 once invoked, about $0.0003 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 2026-11-01.

Building agents Commits Git and workflow ai-engineering ai-skills

om-setup-agent-harness next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
om-setup-agent-harnessopen-mercato/skills	Skill	275	yesterday	MIT	A	85	Claude Code, Codex
pr-workflownotque/vexjoy-agent	Skill	449	2d ago	MIT	A	125	Claude Code
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prsoftspark/ai-toolkit	Skill	179	yesterday	Apache-2.0	A	36	Claude Code
ac-commit-managermajiayu000/claude-skill-registry	Skill	727	today	MIT	A	0	Claude Code, Codex
agent-commitmajiayu000/claude-skill-registry	Skill	727	today	MIT	A	0	Claude Code, Codex
git-masterysoftspark/ai-toolkit	Skill	179	yesterday	Apache-2.0	A	51	Claude Code