Home / onewave-ai / claude-skills · GitHub

agent-army SKILL.md skillA

agent-army from onewave-ai/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add onewave-ai/claude-skills/agent-army@git:20260704.01b429a

Pins git:20260704.01b429a in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: onewave-ai/claude-skills
Path: agent-army/SKILL.md
Versions recorded: 5
Latest version: git:20260704.01b429a, committed Jul 4, 2026
First version recorded: Apr 10, 2026
Size: 15,895 bytes
Repository stars: 358
License: MIT

Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy…

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

# Agent Army

A 2-layer parallel execution framework. The Commander is the top-tier model — Fable by default, or Opus if that's the session model — and does the thinking: recon, composition, briefing, verification. It orchestrates swarms of subordinate models whose tiers the user picks at deploy time (see Power Level). Each Layer 1 agent has its own full context window (not a slice). Each spawns Layer 2 sub-agents under it. The result is many independent brains running at once — not one brain divided.

```
Commander (you — Fable or Opus, the session model)
 |
 |-- Layer 1: Team (3 to 50+, each = own 1M context, L1 tier from power level)
 |    |-- Agent A (1M) -- Sub-agent A1, A2, ...  (L2 tier)
 |    |-- Agent B (1M) -- Sub-agent B1, B2, ...  (L2 tier)
 |    |-- Agent C (1M) -- Sub-agent C1, C2, ...  (L2 tier)
 |    |-- ... (no cap)
```

**Swarm vs. army:** A swarm splits one context window across sub-agents — one brain, divided. An army gives each Layer 1 member its own window. That difference is the whole point of this skill.

## When to use

- Large refactors spanning many files
- Multi-file color / style / naming / API migrations
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add onewave-ai/claude-skills/agent-army@sha256:fa93512ef8792928

The line at the top of this page pins the label git:20260704.01b429a, 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](https://markdownregistry.com/badge/art_dwgyquhzum5z6gpv.svg)](https://markdownregistry.com/a/art_dwgyquhzum5z6gpv)

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

Versions

The registry has recorded 5 versions of this file, between Apr 10, 2026 and Jul 4, 2026, about one every 21 days.

version	committed	commit	size	audit
git:20260704.01b429a latest	2026-07-04	01b429a	15,895 B	A	view · diff
git:20260605.afa662b	2026-06-05	afa662b	12,874 B	A	view · diff
git:20260410.52e431d	2026-04-10	52e431d	7,027 B	A	view · diff
git:20260410.4638da2	2026-04-10	4638da2	7,060 B	A	view · diff
git:20260410.5dc6cf2	2026-04-10	5dc6cf2	7,069 B	A	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 (15895 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

onewave-ai/claude-skills · 358 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_dwgyquhzum5z6gpv
GET https://markdownregistry.com/api/v1/resolve?ref=onewave-ai/claude-skills/agent-army
GET https://markdownregistry.com/api/v1/blob/fa93512ef87929280f79f9c967dcd99e763d3f1fdd1abb4c4b1dba23be02d647

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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