panel

panel is a skill for Claude Code, Codex from raine/consult-llm. It costs 38 tokens per session (2,816 once invoked), scanned A, original, MIT.

A role-based advisory panel asks several language models to examine the same task from different expert viewpoints, such as architecture, security, maintainability, and testing, then combines their conclusions.

In plain words
What is it for?
Use it to compare design choices, identify trade-offs, and produce a combined recommendation for decisions spanning multiple areas.
Why use it?
It helps when a technical decision has competing concerns and prevents one concern from being overlooked.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/raine/consult-llm/panel
Any agent
npx skills add raine/consult-llm --skill panel
Clone the repo
git clone --depth 1 https://github.com/raine/consult-llm

Made for: Claude Code, Codex.

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 panel

README.md
[![agentmods](https://agentmods.dev/badge/skills/raine/consult-llm/panel.svg)](https://agentmods.dev/skills/raine/consult-llm/panel)
Your own site
<a href="https://agentmods.dev/skills/raine/consult-llm/panel"><img src="https://agentmods.dev/badge/skills/raine/consult-llm/panel.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,816 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00038 $0.02816
Opus 5 $0.00019 $0.01408
Sonnet 5 $0.00008 $0.00563
Haiku 4.5 $0.00004 $0.00282

Measured 5d ago against content hash 389f7ba46f67, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

panel 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 5d 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.

skills/panel/SKILL.md · 235 lines

How it starts

The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Run a role-asymmetric advisory panel. Each role analyzes the same task from a single expert lens; the agent synthesizes a PM-style trade-off resolution. Use this when a decision spans multiple domains that pull in different directions and one of them shouldn't silently win. For peer-style brainstorming with no role separation, use /collab. For multi-model review of an existing diff with identical prompts, use /review-panel.

Load the consult-llm skill before proceeding — it defines the invocation contract (heredocs, timeouts, --run, prompt files, thread IDs). Do not call the CLI without loading it first.

Available models

Selectors resolvable in this environment (depends on configured API keys):

!`consult-llm models`

Argument handling

Arguments: $ARGUMENTS

Check $ARGUMENTS for flags:

Role selection:

  • --roles <comma-separated> — explicit kebab-case role list (e.g. --roles security,api-design,ops-readiness). Trim whitespace; reject duplicates and empty entries.
  • (none) — the agent picks the roles based on the task focus and the Phase 1 context. Default starting point is architect, security, maintainability, test-strategist; swap individual roles to fit the actual work. See "Example role bundles" near the bottom of this file as a reference. Pick 3–5 roles; do not exceed 5.

After picking, show the chosen roles to the user before Round 1 so they can override with --roles if the inference is off (e.g. "Roles: migration-architect, security, data-integrity, rollback-operator. Override with --roles if needed.").

Mode flags:

  • --mode design|review — default design.
    • design is a forward-looking proposal panel. Uses --task plan internally.
    • review is a critical pass on an existing diff. Uses --task review internally and adds --diff-files/--diff-base.
  • --diff-base <ref> — review mode only. Default is auto-detected (see Phase 1). Pass an explicit ref to override.
  • --react — opt in to a second round where each role responds to the agent's draft synthesis on its own thread.

Read the full file on GitHub · 235 lines

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. 5d ago First seen · 235 lines · 38 tokens per session scan A 389f7ba46f67

Subscribe to this mod's changes

panel is a skill published in the GitHub repository raine/consult-llm (132 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 2,816 once invoked, about $0.0002 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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