task-orchestrator

task-orchestrator is a skill for Codex from jdrhyne/agent-skills. It costs 45 tokens per session (3,431 once invoked), scanned D, original, MIT.

A coordinator for large software tasks that need several coding agents working with dependencies between them. It can run independent work in parallel and monitor the workers for failures.

In plain words
What is it for?
Use it to manage multi-agent projects with task manifests, dependency analysis, parallel execution, bounded retries, and human review points.
Why use it?
It reduces the manual effort of assigning, sequencing, and watching multiple related tasks while preventing conflicting changes from running together.

Skill for Codex

Written for Codex: runs codex exec. Also seen: positional $N argument; mentions Codex.

Good fit Use it to manage multi-agent projects with task manifests, dependency analysis, parallel execution, bounded retries, and human review points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jdrhyne/agent-skills/task-orchestrator
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 jdrhyne/agent-skills --skill task-orchestrator
Clone the repo
git clone --depth 1 https://github.com/jdrhyne/agent-skills

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 task-orchestrator

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jdrhyne/agent-skills/task-orchestrator"><img src="https://agentmods.dev/badge/skills/jdrhyne/agent-skills/task-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,431 The whole file, excluding the scripts and references it only reads on demand.
Security scan D 2 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 $0.00045 $0.03431
Opus 5 $0.00023 $0.01716
Sonnet 5 $0.00009 $0.00686
Haiku 4.5 $0.00005 $0.00343

Measured 9d ago against content hash 16a7a6f5c7aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade D, and why

task-orchestrator scanned grade D with 2 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 9d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

# Launch Codex (uses gpt-5.2-codex with reasoning_effort=high from ~/.codex/config.toml)

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf "$WORKDIR"
skills/task-orchestrator/SKILL.md · 416 lines

How it starts

The opening of the file, as written. The whole thing — 416 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task Orchestrator

Autonomous orchestration of multi-agent builds using tmux + Codex with self-healing monitoring.

Load the senior-engineering skill alongside this one for engineering principles.

Safety Boundaries

  • Do not launch parallel workers for tasks with overlapping write scope until the dependency is resolved.
  • Do not push branches, merge work, or self-heal by guessing when human review is required.
  • Do not store secrets in manifests, logs, prompts, or tmux pane captures.
  • Do not continue retrying a failing task indefinitely; stop and surface the blocker after bounded retries.

Core Concepts

1. Task Manifest

A JSON file defining all tasks, their dependencies, files touched, and status.

{
  "project": "project-name",
  "repo": "owner/repo",
  "workdir": "/path/to/worktrees",
  "created": "2026-01-17T00:00:00Z",
  "model": "gpt-5.2-codex",
  "modelTier": "high",
  "phases": [
    {
      "name": "Phase 1: Critical",
      "tasks": [
        {
          "id": "t1",
          "issue": 1,
          "title": "Fix X",
          "files": ["src/foo.js"],
          "dependsOn": [],
          "status": "pending",
          "worktree": null,
          "tmuxSession": null,
          "startedAt": null,
          "lastProgress": null,
          "completedAt": null,
          "prNumber": null
        }
      ]
    }
  ]
}

2. Dependency Rules

  • Same file = sequential — Tasks touching the same file must run in order or merge
  • Different files = parallel — Independent tasks can run simultaneously
  • Explicit depends = waitdependsOn array enforces ordering
  • Phase gates — Next phase waits for current phase completion

3. Execution Model

  • Each task gets its own git worktree (isolated branch)
  • Each task runs in its own tmux session
  • Use Codex with --yolo for autonomous execution
  • Model: GPT-5.2-codex high (configurable)

Setup Commands

Initialize Orchestration

# 1. Create working directory
WORKDIR="${TMPDIR:-/tmp}/orchestrator-$(date +%s)"
mkdir -p "$WORKDIR"

# 2. Clone repo for worktrees
git clone https://github.com/OWNER/REPO.git "$WORKDIR/repo"
cd "$WORKDIR/repo"

# 3. Create tmux socket
SOCKET="$WORKDIR/orchestrator.sock"

# 4. Initialize manifest
cat > "$WORKDIR/manifest.json" << 'EOF'
{
  "project": "PROJECT_NAME",
  "repo": "OWNER/REPO",
  "workdir": "WORKDIR_PATH",
  "socket": "SOCKET_PATH",
  "created": "TIMESTAMP",
  "model": "gpt-5.2-codex",
  "modelTier": "high",
  "phases": []
}
EOF

Read the full file on GitHub · 416 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. 9d ago First seen · 416 lines · 45 tokens per session scan D 16a7a6f5c7aa

Subscribe to this mod's changes

task-orchestrator is a skill published in the GitHub repository jdrhyne/agent-skills (241 stars, last pushed 10d ago), licensed MIT. It adds 45 tokens to every session and 3,431 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 2 findings (reads agent configuration directories, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.