advisory-board

advisory-board is a skill for Codex from timharris707/skills. It costs 52 tokens per session (7,379 once invoked), scanned A, original, MIT.

A multi-model review workflow that asks several AI models to examine an idea, plan, or architecture from different roles. It can run independent reviews, a collaborative discussion, or a pitch-and-critique process, then produce a shared conclusion.

In plain words
What is it for?
It helps review technical designs, plans, and ideas through a formal panel, roundtable, or competitive debate.
Why use it?
It reduces reliance on one model's opinion by collecting different analyses and structured criticism. It is read-only unless the user explicitly asks for edits.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; runs codex exec; mentions Codex.

Good fit It helps review technical designs, plans, and ideas through a formal panel, roundtable, or competitive debate.

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Install with agentmods
npx agentmods add skills/timharris707/skills/advisory-board
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.

Any agent
npx skills add timharris707/skills --skill advisory-board
Clone the repo
git clone --depth 1 https://github.com/timharris707/skills

Made for: 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 advisory-board

README.md
[![agentmods](https://agentmods.dev/badge/skills/timharris707/skills/advisory-board/github.svg)](https://agentmods.dev/skills/timharris707/skills/advisory-board)
Your own site
<a href="https://agentmods.dev/skills/timharris707/skills/advisory-board"><img src="https://agentmods.dev/badge/skills/timharris707/skills/advisory-board/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 advisory-board

Your own site · 80×15
<a href="https://agentmods.dev/skills/timharris707/skills/advisory-board"><img src="https://agentmods.dev/badge/skills/timharris707/skills/advisory-board.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,379 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 $0.00052 $0.07379
Opus 5.5 $0.00021 $0.02952
Sonnet 5.5 $0.00010 $0.01476
Haiku 4.5 $0.00005 $0.00738

Measured 28d ago against content hash 9bf73da81eae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

advisory-board 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 28d ago.

The scan reads SKILL.md. This mod also ships 39 executable files (scripts/_conductor/__init__.py, scripts/_conductor/artifacts.py, scripts/_conductor/ask.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/clickai-codex/skills/decide/advisory-board/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Advisory Board

Read the Codex desktop binding when this workflow needs harness mechanics, model routing, or recovery.

Bring an idea, problem, plan, or architecture to a board of frontier models sitting in different roles. The board runs in one of three modes, the interaction topology chosen with the user at intake (references/modes.md). Formal Board Review is the default and the protocol this document defines: an independent first round, then rebuttal, then a structured verdict. Roundtable is collaborative, on a shared transcript, with an optional moderator. Competitive runs pitch, then critique, then a blind vote. Whatever the mode, you leave with the strongest conclusion the board can reach together and a clean takeaway, not disconnected opinions.

Must Not

Hard rules, collected here so they are never missed (each is elaborated in context below). Violating one invalidates the run.

  • Never write files or make edits unless the user explicitly asked for edits: the board is read-only by default.
  • Never write artifacts into a tracked git tree without naming the location first; default to the persistent runs root (~/.advisory-board/runs/<slug>-<date>/), or a throwaway /tmp/advisory-board-* folder with --ephemeral.
  • Never substitute a model silently: if a requested model is unavailable, use the nearest same-provider frontier model and say so.
  • Never skip the data-handling disclosure for non-public material, not even when the user says "use defaults." Disclose what leaves the machine and to whom, and get a go-ahead, before any external seat runs (references/data-handling.md).
  • Never present a degraded or dropped seat as a full board: label it on the seat card and in verdict.json (dropped: true) on a Formal Board Review run; Roundtable and Competitive, which emit no verdict.json, record it in run-metadata.md and name it in synthesis.md/results.md (references/modes.md). A board needs at least two seats that actually ran.
  • Never print or store secrets in prompts, packets, artifacts, logs, or metadata: no keys, tokens, cookies, or private environment values.
  • Never launch a run the user hasn't confirmed. The guided intake (references/intake-interview.md) is mandatory: mode, seats, lenses, effort, rounds, and output are the user's choices, made on the record. An already explicit approval of a complete plan satisfies its confirmation; reuse it. "Use defaults" still needs a concrete plan when seats, cost, or data scope have not yet been established.

Read the full file on GitHub · 231 lines

Files

What ships with it

60 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. 28d ago First seen · 231 lines · 52 tokens per session scan A 9bf73da81eae

Subscribe to this mod's changes

advisory-board is a skill published in the GitHub repository timharris707/skills (41 stars, last pushed 7d ago), licensed MIT. It adds 52 tokens to every session and 7,379 once invoked, about $0.0002 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 2026-09-21.