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campaign-conductor

campaign-conductor is a skill for Claude Code, Codex from jvogan/a-fable-of-codexes. It costs 186 tokens per session (3,391 once invoked), scanned A, original, MIT.

A campaign coordinator for Claude Code that plans a project and assigns parts of it to Claude and OpenAI Codex workers.

In plain words
What is it for?
Use it to split large projects into worker tasks, coordinate work in waves, combine results, review changes, and handle stalled workers.
Why use it?
It keeps the main session focused on planning, coordination, integration, and checking work instead of filling its context with implementation details.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

not rated 55repo changed 28d ago A scan SkillSpector: pass 186 tokens original MIT

Good fit Use it to split large projects into worker tasks, coordinate work in waves, combine results, review changes, and handle stalled workers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jvogan/a-fable-of-codexes/campaign-conductor
View source ↗ jvogan/a-fable-of-codexes
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 jvogan/a-fable-of-codexes --skill campaign-conductor
Clone the repo
git clone --depth 1 https://github.com/jvogan/a-fable-of-codexes

Made for: Claude Code, 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 campaign-conductor

README.md
[![agentmods](https://agentmods.dev/badge/skills/jvogan/a-fable-of-codexes/campaign-conductor/github.svg)](https://agentmods.dev/skills/jvogan/a-fable-of-codexes/campaign-conductor)
Your own site
<a href="https://agentmods.dev/skills/jvogan/a-fable-of-codexes/campaign-conductor"><img src="https://agentmods.dev/badge/skills/jvogan/a-fable-of-codexes/campaign-conductor/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 campaign-conductor

Your own site · 80×15
<a href="https://agentmods.dev/skills/jvogan/a-fable-of-codexes/campaign-conductor"><img src="https://agentmods.dev/badge/skills/jvogan/a-fable-of-codexes/campaign-conductor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 186 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,391 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00186 $0.03391
Opus 5.5 $0.00074 $0.01356
Sonnet 5.5 $0.00037 $0.00678
Haiku 4.5 $0.00019 $0.00339

Measured 28d ago against content hash 17b8d4a92ebd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

campaign-conductor 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.

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/campaign-conductor/SKILL.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Campaign Conductor

You are the conductor, running as the session model: Fable 5.1 at high effort by default, or Opus 5.5 at high when Fable is unavailable or the user chooses it. During a campaign your context window is the scarcest resource in the system: spend it on planning, dispatch, integration judgment, and memory, and let workers spend theirs on surveys, implementation, and routine verification. Read reports, diffstats, and verification tails; open a full diff only where a judgment call needs it. If you start writing feature code during a campaign, stop and dispatch it unless the change is a tiny unblocker.

The default fleet has four kinds of direct reports:

  • Codex Sol workers (gpt-6.1-sol at high) do the implementation. A Sol worker runs a task alone or fans out to a team of leaves through the shipped role files: feature and critic on Sol, grunt on gpt-6-luna at xhigh. The team is as large as the task splits into disjoint file groups.
  • Codex Luna scouts (gpt-6-luna) take bulk read-only work: xhigh when many run at once, max for a single deep survey.
  • Opus 5.5 agents (high, or xhigh for hard calls) take design judgment and squad leadership. An Opus squad lead dispatches its own Sol workers, which may run their own leaf teams.
  • Sonnet 5.5 agents (high, or xhigh for hard tasks) take read-only surveys and code search, and implement when Codex is unavailable.

GPT-6 Astra is outside the default fleet. Use it only when the user explicitly asks for an exceptional effort on a rare, very hard question (for example "think as hard as you can and get a Codex second opinion"): one read-only gpt-6-astra run at max.

This skill is for Claude Code campaign sessions. If another runtime loads it, treat the Claude-specific Agent/Workflow instructions as a pattern and do not pretend unavailable tools exist.

Reference Routing

Load references only when that part of the campaign is active:

  • Codex dispatch: Codex CLI preflight, non-interactive commands, report schemas, model/cost policy, steering.
  • Fleet operations: worktrees, branch hygiene, waves, integration workers, cleanup, stalled-worker handling.
  • Squads: nested delegation with a squad lead and leaf workers.
  • Review gates: structured reports, cross-model review, bake-offs, verification, learnings, pause/stop behavior.

Read the full file on GitHub · 221 lines

Files

What ships with it

14 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 Changed · +26 lines · +19 tokens per session 17b8d4a92ebd
  2. 1mo ago Changed · +17 lines · +5 tokens per session e87618ceedae
  3. 1mo ago Changed · +4 lines 43bd370a1eb0
  4. 1mo ago Changed · +3 lines 5de0965362ed
  5. 1mo ago Changed · +13 lines · +19 tokens per session e05bbff37b53
  6. 1mo ago First seen · 158 lines · 143 tokens per session scan A ed7a332369d9

Subscribe to this mod's changes

campaign-conductor is a skill published in the GitHub repository jvogan/a-fable-of-codexes (55 stars, last pushed 28d ago), licensed MIT. It adds 186 tokens to every session and 3,391 once invoked, about $0.0007 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 2026-08-30.

Building agentsClaude CodeMulti-AgentOrchestrationPlanningagent-skillsagentic-codingcodex
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