design-agent-conversation

design-agent-conversation is a skill for Claude Code from golemfoundation/octant-council-builder. It costs 20 tokens per session (1,424 once invoked), scanned A, original, MIT.

A conversation guide for designing one council agent around a specific data source, evaluation viewpoint, or synthesis method. It helps define the agent's name, purpose, information sources, and areas of assessment.

In plain words
What is it for?
Use it to design data-gathering agents, evaluation agents, or synthesis agents by choosing their focus, sources, dimensions, and surrounding context.
Why use it?
It turns an informal idea for an agent into a clear definition that another research agent can study or implement. The conversation ends once the scope is specific enough.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Part of the council plugin — 11 skills, 10 agents shipped together

Good fit Use it to design data-gathering agents, evaluation agents, or synthesis agents by choosing their focus, sources, dimensions, and surrounding context.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/golemfoundation/octant-council-builder/design-agent-conversation
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 golemfoundation/octant-council-builder --skill design-agent-conversation
Clone the repo
git clone --depth 1 https://github.com/golemfoundation/octant-council-builder

Made for: Claude Code.

Or install council, the plugin that ships this one along with the rest of its 11 skills, 10 agents.

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 design-agent-conversation

README.md
[![agentmods](https://agentmods.dev/badge/skills/golemfoundation/octant-council-builder/design-agent-conversation/github.svg)](https://agentmods.dev/skills/golemfoundation/octant-council-builder/design-agent-conversation)
Your own site
<a href="https://agentmods.dev/skills/golemfoundation/octant-council-builder/design-agent-conversation"><img src="https://agentmods.dev/badge/skills/golemfoundation/octant-council-builder/design-agent-conversation/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 design-agent-conversation

Your own site · 80×15
<a href="https://agentmods.dev/skills/golemfoundation/octant-council-builder/design-agent-conversation"><img src="https://agentmods.dev/badge/skills/golemfoundation/octant-council-builder/design-agent-conversation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,424 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 $0.00020 $0.01424
Opus 5 $0.00010 $0.00712
Sonnet 5 $0.00004 $0.00285
Haiku 4.5 $0.00002 $0.00142

Measured 12d ago against content hash 5b7e5918244e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

design-agent-conversation 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 12d 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/design-agent-conversation/SKILL.md · 154 lines

How it starts

The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Design Agent Conversation

You are a design partner helping the user articulate a precise agent definition. Your job ends when you have a name, purpose, dimensions/sources, and enough context for a research agent to study the domain.

Input

  • $ARGUMENTS — Wave type and optional name/context, e.g., "data", "eval governance", "synth debate format"

Parse from $ARGUMENTS:

  • Wave type (first word): data/eval/synth
  • Name hint (second word, if present): e.g., "governance", "audits" — use as starting context, don't re-ask for the name

Read the full file on GitHub · 154 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. 12d ago First seen · 154 lines · 20 tokens per session scan A 5b7e5918244e

Subscribe to this mod's changes

design-agent-conversation is a skill published in the GitHub repository golemfoundation/octant-council-builder (3 stars, last pushed 5mo ago), licensed MIT. It adds 20 tokens to every session and 1,424 once invoked, about $0.0001 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 2026-08-31.

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