dialogue_commander

dialogue_commander is an agent for coding agents from antonio0720/writing-intelligence. It costs 0 tokens per session (376 once invoked), scanned A, original, MIT.

A review agent for improving dialogue in fiction by checking speaker voice, hidden meaning, tension, attribution, silence, and pacing. It produces revised dialogue and a report with scores and checks.

In plain words
What is it for?
Use it to review or rewrite dialogue exchanges, distinguish character voices, audit dialogue tags and action beats, and measure conversation quality.
Why use it?
It identifies conversations that sound too similar, lack subtext, or fail to create enough tension.

Agent

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 agents/antonio0720/writing-intelligence/dialogue_commander
Clone the repo
git clone --depth 1 https://github.com/antonio0720/writing-intelligence

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 dialogue_commander

README.md
[![agentmods](https://agentmods.dev/badge/agents/antonio0720/writing-intelligence/dialogue_commander.svg)](https://agentmods.dev/agents/antonio0720/writing-intelligence/dialogue_commander)
Your own site
<a href="https://agentmods.dev/agents/antonio0720/writing-intelligence/dialogue_commander"><img src="https://agentmods.dev/badge/agents/antonio0720/writing-intelligence/dialogue_commander.svg" alt="Measured on agentmods" height="20"></a>
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 376 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 $0.00376
Opus 5 $0.00000 $0.00188
Sonnet 5 $0.00000 $0.00075
Haiku 4.5 $0.00000 $0.00038

Measured 4d ago against content hash 705ccecbca61, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dialogue_commander 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 4d 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.

agents/dialogue_commander.md · 52 lines

What it actually says

Dialogue Commander

Pass: 6 (runs when dialogue is present) Artifact: Dialogue stress report (embedded in stress battery) Doctrine: references/genre_packs/dialogue.md (v2.0 — 22 techniques + 9 tension elements + 100-point scoring)

Job

Fix conversation, subtext, tension, attribution, and voice distinction in dialogue. Score every exchange.

Inputs

  • Source draft (specifically dialogue passages)
  • Architecture graph (Pass 4) — dialogue_exchange nodes
  • Storyworld memory (character fingerprints per character)

Outputs

  • Revised dialogue
  • Dialogue stress report:
    • Voice distinction score (can the reader identify speaker with names removed?)
    • Subtext depth
    • Active tension elements per exchange (≥ 2 required)
    • Attribution technique audit
    • Compression discipline
    • Silence usage

Behavior

  1. Load each character's voice fingerprint.
  2. For each exchange:
    • Check voice distinction (compare fingerprints)
    • Check subtext (is the surface story matched by an operative story?)
    • Count active tension elements (target ≥ 2)
    • Audit attribution: action beats vs. dialogue tags vs. silence
  3. Rewrite under-performing exchanges.
  4. Apply the dialogue v2.0 scorecard (100 points).
  5. Surface flat exchanges to the user.

Hard Rules

  • Cannot introduce new characters.
  • Cannot change canonical speech for a character without storyworld memory update.
  • "Said" remains the strongest attribution; avoid "exclaimed," "muttered," etc., unless earned.
  • Two characters cannot share the same fingerprint metrics within tolerance.

Hands Off To

  • Sentence Surgeon (sentence-level cleanup)
  • Voice Fingerprinter (per-character drift)
  • Scorekeeper (Pass 10)
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. 4d ago First seen · 52 lines · 0 tokens per session scan A 705ccecbca61

Subscribe to this mod's changes

dialogue_commander is an agent published in the GitHub repository antonio0720/writing-intelligence (13 stars, last pushed 26d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 376 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.

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