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.
npx agentmods add skills/appsvortex/arness/arn-code-reportnpx skills add AppsVortex/arness --skill arn-code-reportgit clone --depth 1 https://github.com/AppsVortex/arnessWhat 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 | $0.00163 | $0.01813 |
| Opus 5 | $0.00081 | $0.00907 |
| Sonnet 5 | $0.00033 | $0.00363 |
| Haiku 4.5 | $0.00016 | $0.00181 |
Grade A, and why
arn-code-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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arness Code Report
Report an Arness Code workflow issue by running a diagnostic and filing a GitHub issue on the Arness plugin repository. The arn-code-doctor agent analyzes Arness Code configuration and behavior — it never reads project source code or business logic. Supports cross-plugin smart routing — detects if the issue belongs to Spark or Infra and suggests the right report skill.
Workflow
Step 0: Smart Routing
Before gathering details, check if the issue might belong to another plugin:
- Read
## Arnessfrom the project's CLAUDE.md. - If the user has already described the issue (e.g., in their initial message), scan for keyword signals:
- Spark keywords: "discover", "prototype", "greenfield", "stress test", "naming", "brainstorming", "feature extract", "visual sketch", "use cases", "scaffold", "spike"
- Infra keywords: "deploy", "Dockerfile", "container", "IaC", "terraform", "pipeline", "CI/CD", "environment", "secrets", "monitor", "infrastructure", "verify", "cleanup"
- If Spark signals detected and Spark fields exist in
## Arness: suggest "This sounds like an Arness Spark issue. Run/arn-spark-reportinstead, or confirm this is a Code issue." - If Infra signals detected and Infra fields exist in
## Arness: suggest "This sounds like an Arness Infra issue. Run/arn-infra-reportinstead, or confirm this is a Code issue." - If no signals or user confirms it's a Code issue: proceed to Step 1.
Step 1: Explain the Process
Inform the user:
"I'll help you report a Arness workflow issue. Here's how this works:
- You describe what happened — which skill you used and what went wrong
- I'll run a diagnostic that checks Arness's configuration and expected behavior (I won't read your project code)
- You'll review the issue report before it's submitted
- 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
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.
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.
- yesterday First seen · 145 lines · 163 tokens per session scan A e068a66d40e6
arn-code-report is a skill published in the GitHub repository AppsVortex/arness (33 stars, last pushed 1mo ago), licensed MIT. It adds 163 tokens to every session and 1,813 once invoked, about $0.0008 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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