arn-code-feature-spec-teams

arn-code-feature-spec-teams is a skill for Claude Code from AppsVortex/arness. It costs 123 tokens per session (4,898 once invoked), scanned B, original, MIT.

A feature-planning workflow in which specialist coding agents discuss, critique, and revise a proposal before producing its specification.

In plain words
What is it for?
Use it for complex features, significant user-interface work, or situations where several technical approaches need to be compared.
Why use it?
Multiple viewpoints can expose design and user-interface trade-offs that a single planning pass might miss.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: reads .claude/ paths; mentions CLAUDE.md; names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the arn-code plugin — 37 skills, 18 agents shipped together

Good fit Use it for complex features, significant user-interface work, or situations where several technical approaches need to be compared.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add AppsVortex/arness
Claude Code
/plugin install arn-code

Made for: Claude Code.

Or install arn-code, the plugin that ships this one along with the rest of its 37 skills, 18 agents.

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 arn-code-feature-spec-teams

README.md
[![agentmods](https://agentmods.dev/badge/skills/appsvortex/arness/arn-code-feature-spec-teams/github.svg)](https://agentmods.dev/skills/appsvortex/arness/arn-code-feature-spec-teams)
Your own site
<a href="https://agentmods.dev/skills/appsvortex/arness/arn-code-feature-spec-teams"><img src="https://agentmods.dev/badge/skills/appsvortex/arness/arn-code-feature-spec-teams/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.

agentmods 80×15 button for arn-code-feature-spec-teams

Your own site · 80×15
<a href="https://agentmods.dev/skills/appsvortex/arness/arn-code-feature-spec-teams"><img src="https://agentmods.dev/badge/skills/appsvortex/arness/arn-code-feature-spec-teams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,898 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00123 $0.04898
Opus 5.5 $0.00049 $0.01959
Sonnet 5.5 $0.00025 $0.00980
Haiku 4.5 $0.00012 $0.00490

Measured 1mo ago against content hash 376af6efcaf4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

arn-code-feature-spec-teams scanned grade B with 1 finding 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 1mo 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

- Add to `~/.claude/settings.json` under `"env"`:
plugins/arn-code/skills/arn-code-feature-spec-teams/SKILL.md · 328 lines

How it starts

The opening of the file, as written. The whole thing — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arness Feature Spec Teams

Develop a feature idea through structured debate between specialist teammates — architects and UX experts — before synthesizing a specification. Uses Claude Code's experimental Agent Teams feature for direct inter-agent communication. Each teammate proposes, critiques, and revises independently, producing a richer spec than a single-agent approach.

Pipeline position:

arn-code-feature-spec-teams (team: propose -> critique -> revise -> resolve) -> /arn-code-plan

This is an alternative to arn-code-feature-spec (single-agent). Use this when:

  • The feature is complex enough to benefit from multiple perspectives
  • There is a significant UI/UX component that needs specialist advocacy
  • Multiple architectural approaches are viable and warrant debate
  • You want trade-offs and disagreements surfaced explicitly

Prerequisites

If no ## Arness section exists in the project's CLAUDE.md, inform the user: "Arness is not configured for this project yet. Run /arn-planning to get started — it will set everything up automatically." Do not proceed without it. For standard single-agent feature spec, use arn-code-feature-spec instead.

Limitations compared to arn-code-feature-spec:

  • XL feature decomposition is not supported. Use arn-code-feature-spec for features that need to be broken into sub-features.
  • Draft file management is not supported. If the session crashes, re-run the skill from the beginning.

Workflow

Step 1: Check Agent Teams Availability

Run via Bash: echo $CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS

If the variable is NOT set to "1": Inform the user: "This skill requires Claude Code's experimental Agent Teams feature."

Provide setup instructions:

  • Add to ~/.claude/settings.json under "env":
    "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
    
  • Or set the environment variable before running Claude Code:
    CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 claude
    

Suggest the alternative: "You can use /arn-code-feature-spec instead, which uses a single architect agent and doesn't require Agent Teams."

Read the full file on GitHub · 328 lines

Files

What ships with it

1 file 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. 1mo ago First seen · 328 lines · 123 tokens per session scan B 376af6efcaf4

Subscribe to this mod's changes

arn-code-feature-spec-teams is a skill published in the GitHub repository AppsVortex/arness (33 stars, last pushed 2mo ago), licensed MIT. It adds 123 tokens to every session and 4,898 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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