orchestration:executing-workflows

A workflow runner for arrow-based instructions such as one step followed by another or several steps in parallel. It shows progress while coordinating agents, which are separate automated workers, and supports checkpoints and error recovery.

In plain words
What is it for?
Use it to execute workflows, validate their steps and connections, monitor progress, intervene at checkpoints, and recover from errors.
Why use it?
It removes the need to manually coordinate multi-step agent work or track each step yourself. It also checks the workflow before running it and lets you steer it at defined points.

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/mbruhler/claude-orchestration/executing-workflows
Any agent
npx skills add mbruhler/claude-orchestration --skill executing-workflows
Clone the repo
git clone --depth 1 https://github.com/mbruhler/claude-orchestration

Made for: Claude Code, Codex.

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,916 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00059 $0.02916
Opus 5 $0.00030 $0.01458
Sonnet 5 $0.00012 $0.00583
Haiku 4.5 $0.00006 $0.00292

Measured 2d ago against content hash 4f05fce4d93b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

orchestration:executing-workflows scanned grade C with 1 finding 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 2d 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.

Recursive force deletehighDestructive command

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

rm -rf ./temp-scripts/*
skills/executing-workflows/SKILL.md · 446 lines

How it starts

The opening of the file, as written. The whole thing — 446 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Executing Orchestration Workflows

I execute workflows with real-time visualization, progress tracking, and interactive steering at checkpoints.

When I Activate

I automatically activate when you:

  • Provide workflow syntax to execute
  • Ask to "run a workflow"
  • Mention workflow execution
  • Want to execute a template
  • Ask "how do I run this workflow?"

Quick Start

Just provide workflow syntax and I'll handle the rest:

Explore:"Analyze codebase":analysis ->
implement:"Add feature based on {analysis}":code ->
general-purpose:"Run tests":results

I automatically:

  1. Parse and validate syntax
  2. Show execution graph visualization
  3. Execute agents with progress updates
  4. Handle checkpoints and steering
  5. Manage errors gracefully
  6. Clean up temporary files (with user confirmation)

Execution Process

Phase 1: Parse & Validate

I analyze your workflow:

  • Validate syntax correctness
  • Check agent references
  • Verify variable bindings
  • Identify checkpoints
  • Map execution graph

Phase 2: Visualize

I show you the execution plan using ASCII art:

Execution Graph:
+-----------------+
| Explore         |
| (Analyze code)  |
+--------+--------+
         |
         v
+-----------------+
| implement       |
| (Add feature)   |
+--------+--------+
         |
         v
+-----------------+
| general-purpose |
| (Run tests)     |
+-----------------+

Phase 3: Execute & Save State (Snapshots)

I run agents sequentially or in parallel. Crucially, I maintain a local execution state file to ensure reliability and enable "Time-Travel" recovery.

  1. Before starting, I create/update .orchestration/state.json in the current working directory.
  2. After EVERY successful node execution, I update the state.json with captured variables and the node's completed status.
  3. If the workflow is interrupted, crashes, or fails, I retain this state file.

Sequential (->):

Running: Explore...  [In Progress]
Result: Analysis complete -> State Saved.
Running: implement...  [In Progress]
Result: Feature added -> State Saved.

Read the full file on GitHub · 446 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. 2d ago First seen · 446 lines · 59 tokens per session scan C 4f05fce4d93b

Subscribe to this mod's changes

orchestration:executing-workflows is a skill published in the GitHub repository mbruhler/claude-orchestration (218 stars, last pushed 3mo ago), licensed MIT. It adds 59 tokens to every session and 2,916 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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