arn-infra-report

arn-infra-report is a skill for Claude Code from AppsVortex/arness. It costs 121 tokens per session (1,739 once invoked), scanned A, original, MIT.

A diagnostic and issue-reporting tool for problems in an infrastructure workflow. It analyzes Arness Infra configuration and behavior and can file a GitHub issue for the plugin maintainers.

In plain words
What is it for?
It routes reported problems, runs an infrastructure-specific diagnostic without reading application source code or business logic, and submits the resulting issue to the Arness plugin repository.
Why use it?
It gives infrastructure workflow failures a defined diagnosis and reporting path instead of requiring users to investigate the plugin manually. It also checks whether the problem belongs to a different Arness plugin.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: mentions .claude-plugin; 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-infra plugin — 25 skills, 10 agents shipped together

Good fit It routes reported problems, runs an infrastructure-specific diagnostic without reading application source code or business logic, and submits the resulting issue to the Arness plugin repository.

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-infra

Made for: Claude Code.

Or install arn-infra, the plugin that ships this one along with the rest of its 25 skills, 10 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-infra-report

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/appsvortex/arness/arn-infra-report"><img src="https://agentmods.dev/badge/skills/appsvortex/arness/arn-infra-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,739 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00121 $0.01739
Opus 5.5 $0.00048 $0.00696
Sonnet 5.5 $0.00024 $0.00348
Haiku 4.5 $0.00012 $0.00174

Measured yesterday against content hash 61676ed0e191, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

arn-infra-report 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 yesterday.

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.

plugins/arn-infra/skills/arn-infra-report/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arness Infra Report

Report an Arness Infra workflow issue by running a diagnostic and filing a GitHub issue on the Arness plugin repository. The arn-infra-doctor agent analyzes Infra configuration and behavior — it never reads project source code or business logic.

Workflow

Step 0: Smart Routing

Before proceeding, check whether the user's issue actually belongs to a different Arness plugin:

  1. Read the ## Arness section from the project's CLAUDE.md (if it exists).
  2. Check the user's description for keyword signals:
    • Code keywords: "plan", "spec", "execute", "taskify", "swift", "standard", "batch", "ship", "PR", "review-pr", "assess", "catch-up", "document-project", "save-plan"
    • Spark keywords: "discover", "prototype", "greenfield", "stress test", "naming", "brainstorming", "feature extract", "visual sketch", "use cases"
  3. If Code signals detected: "This sounds like an Arness Code issue. Run /arn-code-report instead."
  4. If Spark signals detected: "This sounds like an Arness Spark issue. Run /arn-spark-report instead."
  5. If the user confirms it is actually an Infra issue, proceed.

Step 1: Explain the Process

Inform the user:

"I'll help you report an Arness Infra workflow issue. Here's how this works:

  1. You describe what happened — which skill you used and what went wrong
  2. I'll run a diagnostic that checks Infra's configuration and expected behavior (I won't read your project code)
  3. You'll review the issue report before it's submitted
  4. The issue gets filed on the Arness plugin repository for the maintainers

Your project code and business logic are never included in the report."


Step 2: Gather User Description

Ask the user using AskUserQuestion:

  • "What happened? Which Arness Infra skill were you using and what went wrong?"

Let the user type a free-form description. This becomes the user_description for the diagnostic.


Step 3: Check Prerequisites

  1. Detect the plugin's GitHub repository:
    • Read the repository field from ${CLAUDE_PLUGIN_ROOT}/.claude-plugin/plugin.json. Parse owner/repo from the URL.
    • Fallback: git -C ${CLAUDE_PLUGIN_ROOT} remote get-url origin. Extract owner/repo from the URL (strip .git suffix and https://github.com/ or [email protected]: prefix).

Read the full file on GitHub · 143 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. yesterday First seen · 143 lines · 121 tokens per session scan A 61676ed0e191

Subscribe to this mod's changes

arn-infra-report is a skill published in the GitHub repository AppsVortex/arness (33 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 1,739 once invoked, about $0.0005 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 2026-10-25.

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