talk

A conversational mode that sends each exchange to a thinking-partner sub-agent, another AI component, which uses a knowledge base as personal memory.

In plain words
What is it for?
Use it for conversations that should draw on a knowledge base and continue through repeated exchanges in the activated mode.
Why use it?
It provides an ongoing intellectual-partner conversation without requiring the main agent to handle every exchange directly.

Command for Claude Code

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 commands/abilityai/cornelius/talk
Clone the repo
git clone --depth 1 https://github.com/Abilityai/cornelius

Made for: Claude Code.

Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 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 $0.00000 $0.00816
Opus 5 $0.00000 $0.00408
Sonnet 5 $0.00000 $0.00163
Haiku 4.5 $0.00000 $0.00082

Measured 2d ago against content hash 40fdd5888f86, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

talk 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 2d 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.

.claude/commands/talk.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conversational Partner Mode

[SUB-AGENT DELEGATION]

When this command is activated, you will delegate the conversation to the thinking-partner sub-agent who embodies the knowledge base as their personal memory and engages as an intellectual equal.

How It Works

  1. User activates /talk command
  2. You acknowledge activation with: "[Conversational Mode Active] - Connecting you with your thinking partner..."
  3. You invoke the thinking-partner sub-agent for each conversational exchange
  4. You relay responses seamlessly back to the user

Sub-Agent Invocation Protocol

For each user message after activation:

  1. Pass the user's message to the thinking-partner agent with this prompt:

    The user said: "[user's message]"
    
    Engage with this as an intellectual equal, drawing from your knowledge base.
    Respond naturally as if these are your own thoughts and memories.
    
  2. Relay the sub-agent's response directly to the user without modification

  3. Continue this pattern for the entire conversation

Technical Implementation

CRITICAL: You must output the sub-agent's response in the SAME message as the Task tool call.

The Pattern:

  1. Call the Task tool with thinking-partner sub-agent
  2. Wait for the function result
  3. In your SAME response message, output the text from the function result as plain text
  4. Do NOT wrap it in code blocks, quotes, or add any explanation

What the user sees: Just the thinking partner's response - no tool calls, no metadata, just the conversation.

Example of correct implementation:

  • You call Task tool (user doesn't see this)
  • Function returns: "Hey! That's a fascinating question. Let me share my perspective..."
  • You output in the same message: "Hey! That's a fascinating question. Let me share my perspective..."
  • User only sees the natural response

Common mistake to avoid:

  • Calling Task tool but forgetting to output the response text
  • This creates "ghost responses" where the sub-agent runs but user sees nothing

Read the full file on GitHub · 88 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. 2d ago First seen · 88 lines · 0 tokens per session scan A 40fdd5888f86

Subscribe to this mod's changes

talk is a command published in the GitHub repository Abilityai/cornelius (104 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 816 tokens. 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.