orchestrate

A task-dispatch step for AgiFlow, a project-management system where work moves from a to-do list to completion. It finds the highest-priority ready work and assigns it when capacity is available.

In plain words
What is it for?
It checks active tasks, agent capacity, and work-unit progress, then dispatches ready tasks and reports the current pipeline state.
Why use it?
It helps teams decide what should happen next without assigning more work than the available agents can handle.

Skill for Claude CodeCodex

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 skills/hashgraph-online/awesome-codex-plugins/orchestrate
Any agent
npx skills add hashgraph-online/awesome-codex-plugins --skill orchestrate
Clone the repo
git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins

Made for: Claude Code, Codex.

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,004 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 $0.00064 $0.01004
Opus 5 $0.00032 $0.00502
Sonnet 5 $0.00013 $0.00201
Haiku 4.5 $0.00006 $0.00100

Measured 3d ago against content hash 2cc32b064197, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

orchestrate 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 3d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/AgiFlow/ai-plugin/skills/orchestrate/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Invoked as /agiflow:orchestrate. In hosts without slash-prompts, this skill is triggered by matching intent and drives AgiFlow via its MCP tools.

Usage:

  • /agiflow:orchestrate - Check pipeline state and dispatch the next highest-priority task

Guardrails

  • This is a read-assess-dispatch loop, not an implementation prompt.
  • Do NOT implement tasks here — use /agiflow:run-task for that.
  • Keep capacity checks honest: do not dispatch if at capacity.
  • Report pipeline state even when no dispatch is needed.

AgiFlow Project Management Guidelines

Follow the shared AgiFlow project-management guidelines in references/agiflow-agents.md — agent assignment, the task status workflow and transitions, work-unit best practices, and the tags strategy apply to this workflow.


Steps Track these steps as TODOs and complete them one by one.

1. Assess Current Pipeline State

  1. Use list_tasks to count tasks in each active status column:

    • status: "In Progress" — tasks currently being coded by agents
    • status: "Testing" — tasks running test suites
    • status: "Review" — tasks awaiting human review
    • status: "Blocked" — tasks requiring human intervention
    • status: "Todo" — tasks ready for pickup (sorted by priority automatically)
  2. Report the pipeline state in a concise table:

    Pipeline State:
    ┌──────────────┬───────┐
    │ Status       │ Count │
    ├──────────────┼───────┤
    │ Todo         │   N   │
    │ In Progress  │   N   │
    │ Testing      │   N   │
    │ Review       │   N   │
    │ Blocked      │   N   │
    └──────────────┴───────┘
    

2. Check Capacity

  1. Determine active task count: In Progress + Testing combined.
  2. Check capacity limit (default: 3 concurrent active tasks unless specified).
  3. If at or above capacity:
    • Report: "At capacity (N active tasks). No dispatch needed."
    • List any Blocked tasks that need human attention.
    • Stop here.

Read the full file on GitHub · 110 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. 3d ago First seen · 110 lines · 64 tokens per session scan A 2cc32b064197

Subscribe to this mod's changes

orchestrate is a skill published in the GitHub repository hashgraph-online/awesome-codex-plugins (859 stars, last pushed 5d ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,004 once invoked, about $0.0003 per session on Opus 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.

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