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.
/plugin marketplace add AppsVortex/arness/plugin install arn-sparkWrote 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.
[](https://agentmods.dev/skills/appsvortex/arness/arn-brainstorming)<a href="https://agentmods.dev/skills/appsvortex/arness/arn-brainstorming"><img src="https://agentmods.dev/badge/skills/appsvortex/arness/arn-brainstorming/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.
<a href="https://agentmods.dev/skills/appsvortex/arness/arn-brainstorming"><img src="https://agentmods.dev/badge/skills/appsvortex/arness/arn-brainstorming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00206 | $0.06226 |
| Opus 5.5 | $0.00082 | $0.02490 |
| Sonnet 5.5 | $0.00041 | $0.01245 |
| Haiku 4.5 | $0.00021 | $0.00623 |
Grade A, and why
arn-brainstorming 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 today.
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 — 521 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arness Brainstorming
Walk the user through the entire Arness greenfield exploration pipeline in a single continuous session. The wizard invokes each pipeline skill in sequence using the Skill tool, only pausing at genuine decision gates where user input is needed. Conversational skills (discover, arch-vision) have internal feedback loops and flow without wizard-level gates.
This skill is a sequencer and decision-gate handler. It MUST NOT duplicate sub-skill logic. All pipeline work is done by the invoked skills. The wizard handles: entry routing, transitions between skills, progress display, and resumability.
Step 0: Ensure Configuration
Read ${CLAUDE_PLUGIN_ROOT}/skills/arn-spark-ensure-config/references/step-0-fast-path.md and follow its instructions. This guarantees a user profile exists and ## Arness is configured with Arness Spark fields before proceeding.
After Step 0 completes, extract from ## Arness:
- Vision directory, Use cases directory, Prototypes directory, Spikes directory, Visual grounding directory, Reports directory
Decision Gates
The wizard pauses at exactly 9 gates. Everything else flows automatically.
| Gate | When | Question | Options |
|---|---|---|---|
| G1 | Entry (artifacts detected) | "It looks like you have an in-progress greenfield pipeline. Resume or start fresh?" | Resume from [detected stage] / Start fresh |
| G-Stress | After discover | "Run stress tests on the product concept?" then "Select which stress tests to run" | Yes/Skip; then multi-select: Interview, Competitive, Pre-Mortem, PR/FAQ |
| G-Name | After stress-test/concept-review | "Explore brand names for your product?" | Yes / Skip |
| G2 | After arch-vision | "Write use cases before scaffolding?" | Write use cases (recommended) / Write use cases with expert debate (teams) / Skip to scaffold |
| G3 | After scaffold | "Validate technical risks before visual design?" | Run spikes (recommended if risks found) / Skip to visual sketch |
| G4 | Pre-prototype | "How should prototypes be validated?" | Standard review cycles / Expert debate (teams) for both / Expert debate (teams) for clickable only |
| G5 | After clickable prototype | "Lock the prototype and extract features?" | Lock prototype then extract features (recommended) / Extract features without locking / Review prototype first |
| G6 | After feature extraction | "Transition to development pipeline?" | Yes, run /arn-planning / Not yet |
| G7 | Entry (add-feature intent + completed prototype) | "Adding a new feature. This will update use cases, iterate the prototype, and add to the feature backlog. Ready?" | Proceed / Choose which steps to include / Cancel |
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.
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.
- today First seen · 521 lines · 206 tokens per session scan A fb82775d02f2
arn-brainstorming is a skill published in the GitHub repository AppsVortex/arness (33 stars, last pushed today), licensed MIT. It adds 206 tokens to every session and 6,226 once invoked, about $0.0008 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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