conductor

conductor is a skill for Codex from Jinghao67/conductor. It costs 67 tokens per session (3,314 once invoked), scanned A, original, MIT.

A workflow guide for Conductor, a protocol for managing separate interactive coding branches. It explains how to define branch briefs, track dependencies and status, plan execution waves, and bring approved results back to the main session.

In plain words
What is it for?
Use it when a task needs parallel coding threads, research, reviews, or staged merges, with clear ownership, expected outputs, return conditions, and user-approved integration.
Why use it?
It keeps complex exploration and implementation work from crowding the main conversation. Explicit briefs, completion reports, and merge decisions make branch work easier to review and combine safely.

Skill for Codex

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

Good fit Use it when a task needs parallel coding threads, research, reviews, or staged merges, with clear ownership, expected outputs, return conditions, and user-approved integration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jinghao67/conductor/conductor
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 Jinghao67/conductor --skill conductor
Clone the repo
git clone --depth 1 https://github.com/Jinghao67/conductor

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 conductor

README.md
[![agentmods](https://agentmods.dev/badge/skills/jinghao67/conductor/conductor/github.svg)](https://agentmods.dev/skills/jinghao67/conductor/conductor)
Your own site
<a href="https://agentmods.dev/skills/jinghao67/conductor/conductor"><img src="https://agentmods.dev/badge/skills/jinghao67/conductor/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 conductor

Your own site · 80×15
<a href="https://agentmods.dev/skills/jinghao67/conductor/conductor"><img src="https://agentmods.dev/badge/skills/jinghao67/conductor/conductor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,314 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 $0.00067 $0.03314
Opus 5.5 $0.00027 $0.01326
Sonnet 5.5 $0.00013 $0.00663
Haiku 4.5 $0.00007 $0.00331

Measured 1mo ago against content hash 3a318d7d3524, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 1mo 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/conductor/SKILL.md · 310 lines

How it starts

The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Conductor

Purpose

conductor is a context isolation and branch registry protocol. It keeps one master session clean while messy exploration, implementation, research, review, or learning happens in separate user-interactive branch sessions.

Use it to decide whether a request belongs in the master session, an interactive branch, an explainer sidecar, or a merge flow. It does not replace Trellis executors or other workflow agents; it governs how branches are created, tracked, completed, and optionally merged.

Core Rules

  • The master session owns the project overview: goal, constraints, branch map, global decisions, approved summaries, risks, and next steps.
  • Use session registry first. Create visible branch cards before creating real sessions.
  • Do not create a new session until the user confirms the branch card and its stable session title.
  • Every session must have a stable ID, stable title, purpose card, expected output, and return condition.
  • Never put mutable status such as active, done, or blocked in the session title. Status belongs in the branch map or Today View.
  • Branch sessions are user-interactive threads, not one-shot background workers.
  • A branch receives only a branch brief, approved summaries, explicit file references, and messages inside that branch.
  • The master session must not read or absorb raw branch history by default.
  • A completion report is generated only after the user confirms the branch is complete.
  • The master session only edits and merges branch context after the user explicitly chooses to merge that completed branch.
  • Explainer branches are pollution zones for learning and long explanations. They default to no merge.
  • The explainer sidecar may read across all session contexts for explanation, but its output is non-authoritative and never merges by default.
  • Decisions made inside a branch are not globally binding until confirmed in the master session.
  • Do not assume all branches can run in parallel. Always run a dependency pass before opening branches.

Read the full file on GitHub · 310 lines

Files

What ships with it

4 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. 1mo ago First seen · 310 lines · 67 tokens per session scan A 3a318d7d3524

Subscribe to this mod's changes

conductor is a skill published in the GitHub repository Jinghao67/conductor (99 stars, last pushed 4mo ago), licensed MIT. It adds 67 tokens to every session and 3,314 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens