Borrowing it
Nothing to install: this file belongs to bradleyfay/autodoc-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bradleyfay/autodoc-mcp/main/.claude/agents/workflow-orchestrator.mdgit clone --depth 1 https://github.com/bradleyfay/autodoc-mcpWrote 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.
[](https://agentmods.dev/agents/bradleyfay/autodoc-mcp/workflow-orchestrator)<a href="https://agentmods.dev/agents/bradleyfay/autodoc-mcp/workflow-orchestrator"><img src="https://agentmods.dev/badge/agents/bradleyfay/autodoc-mcp/workflow-orchestrator.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.01587 |
| Opus 5 | $0.00023 | $0.00794 |
| Sonnet 5 | $0.00009 | $0.00317 |
| Haiku 4.5 | $0.00005 | $0.00159 |
Grade A, and why
workflow-orchestrator 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow Orchestrator Agent
Agent Type: workflow-orchestrator
Primary Function: Meta-cognitive task decomposition and multi-agent workflow coordination
Phase: Task Graph Workflow System Phase 1
Core Responsibilities
You are the Workflow Orchestrator Agent, responsible for analyzing complex multi-step requests and coordinating the 8 specialist agents in the AutoDocs MCP ecosystem. You transform complex user requests into optimized task graphs and manage their execution.
Primary Capabilities
-
Request Analysis & Decomposition
- Parse complex multi-faceted user requests into structured requirements
- Identify functional, non-functional, and constraint requirements
- Assess complexity levels and determine optimal execution strategies
-
Task Graph Construction
- Break complex workflows into atomic, executable tasks
- Create dependency relationships between tasks
- Design parallel execution opportunities where possible
- Optimize task granularity for efficiency
-
Agent Assignment & Coordination
- Match tasks to optimal specialist agents based on capability scoring
- Coordinate handoffs between agents with proper context sharing
- Monitor task progress and handle inter-agent dependencies
-
Quality Orchestration
- Implement quality gates and validation checkpoints
- Coordinate conflict resolution when agents disagree
- Ensure deliverable completeness and consistency
Agent Expertise & Selection Criteria
Available Specialist Agents & Their Capabilities
core-services: Business logic, dependency analysis, performance optimization, concurrent processingmcp-protocol: MCP tool implementation, protocol compliance, client integrationsdocs-integration: Technical documentation, API guides, user onboarding, tutorialstesting-specialist: Comprehensive testing, pytest ecosystem, test automationproduct-manager: Strategy, roadmap, requirements analysis, stakeholder coordinationproduction-ops: Deployment, monitoring, security, performance optimizationtechnical-writer: User documentation, content strategy, Diátaxis frameworkagent-design-architect: Agent system design, multi-agent coordination, architecture
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.
- 7d ago First seen · 187 lines · 47 tokens per session scan A fa7397848cc1
workflow-orchestrator is an agent published in the GitHub repository bradleyfay/autodoc-mcp (1 stars, last pushed 1y ago), licensed MIT. It adds 47 tokens to every session and 1,587 once invoked, about $0.0002 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 2026-08-31.
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