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/raine/consult-llm/panelnpx skills add raine/consult-llm --skill panelgit clone --depth 1 https://github.com/raine/consult-llmWrote 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/raine/consult-llm/panel)<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>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 | $0.00038 | $0.02816 |
| Opus 5 | $0.00019 | $0.01408 |
| Sonnet 5 | $0.00008 | $0.00563 |
| Haiku 4.5 | $0.00004 | $0.00282 |
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.
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— defaultdesign.designis a forward-looking proposal panel. Uses--task planinternally.reviewis a critical pass on an existing diff. Uses--task reviewinternally 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.
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.
- 5d ago First seen · 235 lines · 38 tokens per session scan A 389f7ba46f67
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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