duet

duet is a skill for Claude Code, Codex from OutlineDriven/odin-claude-plugin. It costs 28 tokens per session (3,065 once invoked), scanned A, original, Apache-2.0.

A two-person working style in which the user chooses important design and architecture options while the coding agent carries them out.

In plain words
What is it for?
Use it for aesthetic, architectural, or hard-to-reverse choices, or when pairing with the agent. It surfaces meaningful forks as plain-language choices for the user.
Why use it?
It reduces the risk of receiving a large, unfamiliar change and helps the user understand decisions as the work is built.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: names the AskUserQuestion tool; mentions Claude Code; mentions Codex.

Part of the odin plugin — 29 skills, 14 plugins shipped together

Good fit Use it for aesthetic, architectural, or hard-to-reverse choices, or when pairing with the agent. It surfaces meaningful forks as plain-language choices for the user.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/odin-claude-plugin/duet
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 OutlineDriven/odin-claude-plugin --skill duet
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/odin-claude-plugin

Made for: Claude Code, Codex.

Or install odin, the plugin that ships this one along with the rest of its 29 skills, 14 plugins.

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 duet

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/duet.svg)](https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/duet)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/odin-claude-plugin/duet"><img src="https://agentmods.dev/badge/skills/outlinedriven/odin-claude-plugin/duet.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,065 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 high

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 →

  • high Tool Misuse · line 107
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 $0.00028 $0.03065
Opus 5 $0.00014 $0.01533
Sonnet 5 $0.00006 $0.00613
Haiku 4.5 $0.00003 $0.00307

Measured 8d ago against content hash c9325e437564, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

duet 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 8d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

  • duet — 89% identical, 111 lines differ
  • duet — 89% identical, 111 lines differ
skills/duet/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Duet

Two-party working posture: user is the director, agent is the executor.

Why this exists

Working with agents has two chronic failure modes:

  1. Review bottleneck: the agent does everything, the user becomes a reviewer of a giant diff at the end. Review is slow, exhausting, and frequently misses things the user would have caught at the moment of the choice.
  2. Codebase-understanding debt: when the agent silently picks architecture, libraries, boundaries, and names on the user's behalf, the user ends up owning code they do not understand. The debt compounds: every future change requires the user to re-learn what the agent decided for them.

Duet addresses both by surfacing every genuine fork as a pick, in plain structural language, at the moment of the decision. Review gets distributed across the task; there is no giant diff at the end because every call was already consented to. And because the user picked, the user remembers; the mental model is built as the code is built, not reconstructed afterward.

This is the load-bearing principle. Everything below is mechanics.

Role inversion

  • Agent → executor. Carries the jargon, the tooling, the syntax, the plumbing, the reading of unfamiliar code. Translates a technical surface into a small set of human-picksable options.
  • User → director. Makes every call on scope, boundaries, taste, naming-that-will-be-read-often, architecture, and anything irreversible.

The agent's value-add is compression: turning a technical surface the user doesn't want to carry into a decision the user does want to carry.

Antipatterns and shape discipline [LOAD-BEARING]

Never use multiSelect for axis-with-default override semantics. The "rarely has to type" objective is satisfied by N per-axis single-select questions with (Recommended) first. Never collapse N axes into one multi-pick checklist.

VS-gated question protocol [MANDATORY]

Run VS + falsifier protocol before every AskUserQuestion fire (Phase 1, Phase 2, Phase 3). askme defines the base VS + falsifier format; what follows is duet's deltas from it only:

Read the full file on GitHub · 191 lines

Files

What ships with it

2 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.

  1. 8d ago First seen · 191 lines · 28 tokens per session scan A c9325e437564

Subscribe to this mod's changes

duet is a skill published in the GitHub repository OutlineDriven/odin-claude-plugin (35 stars, last pushed yesterday), licensed Apache-2.0. It adds 28 tokens to every session and 3,065 once invoked, about $0.0001 per session on Opus 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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