Stream ChainCAUTION
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Overview
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
2074b0fad146OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: stream-chain description: Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows --- # Stream-Chain Skill Execute sophisticated multi-step workflows where each agent's output flows into the next, enabling complex data transformations and sequential processing pipelines. ## Overview Stream-Chain provides two powerful modes for orchestrating multi-agent workflows: 1. **Custom Chains** (`run`): Execute custom prompt sequences with full control 2. **Predefined Pipelines** (`pipeline`): Use battle-tested workflows for common tasks Each step in a chain receives the complete output from the previous step, enabling sophisticated multi-agent coordination through streaming data flow. --- ## Quick Start ### Run a Custom Chain ```bash claude-flow stream-chain run \ "Analyze codebase structure" \ "Identify improvement areas" \ "Generate action plan" ``` ### Execute a Pipeline ```bash claude-flow stream-chain pipeline analysis ``` --- ## Custom Chains (`run`) Execute custom stream chains with your own prompts for maximum flexibility. ### Syntax ```bash claude-flow stream-chain run <prompt1> <prompt2> [...] [options] ``` **Requirements:** - Minimum 2 prompts required - Each prompt becomes a step in the chain - Output flows sequentially through all steps ### Options | Option | Description | Default | |--------|-------------|---------| | `--verbose` | Show detailed execution information | `false` | | `--timeout <seconds>` | Timeout per step | `30` | | `--debug` | Enable debug mode with full logging | `false` | ### How Context Flows Each step receives the previous output as context: ``` Step 1: "Write a sorting function" Output: [function implementation] Step 2 receives: "Previous step output: [function implementation] Next task: Add comprehensive tests" Step 3 receives: "Previous steps output: [function + tests] Next task: Optimize performance" ``` ### Examples #### Basic Development Chain ```bash claude-flow stream-chain run \ "Write a user authentication function" \ "Add input validation and error handling" \ "Create unit tests with edge cases" ``` #### Security Audit Workflow ```bash claude-flow stream-chain run \ "Analyze authentication system for vulnerabilities" \ "Identify and categorize security issues by severity" \ "Propose fixes with implementation priority" \ "Generate security test cases" \ --timeout 45 \ --verbose ``` #### Code Refactoring Chain ```bash claude-flow stream-chain run \ "Identify code smells in src/ directory" \ "Create refactoring plan with specific changes" \ "Apply refactoring to top 3 priority items" \ "Verify refactored code maintains behavior" \ --debug ``` #### Data Processing Pipeline ```bash claude-flow stream-chain run \ "Extract data from API responses" \ "Transform data into normalized format" \ "Validate data against schema" \ "Generate data quality report" ``` --- ## Predefined Pipelines (`pipeline`) Execute battle-tested workflows optimized for common development tasks. ### Syntax ```bash claude-flow stream-chain pipeline <type> [options] ``` ### Available Pipelines #### 1. Analysis Pipeline Comprehensive codebase analysis and improvement identification. ```bash claude-flow stream-chain pipeline analysis ``` **Workflow Steps:** 1. **Structure Analysis**: Map directory structure and identify components 2. **Issue Detection**: Find potential improvements and problems 3. **Recommendations**: Generate actionable improvement report **Use Cases:** - New codebase onboarding - Technical debt assessment - Architecture review - Code quality audits #### 2. Refactor Pipeline Systematic code refactoring with prioritization. ```bash claude-flow stream-chain pipeline refactor ``` **Workflow Steps:** 1. **Candidate Identification**: Find code needing refactoring 2. **Prioritization**: Create ranked refactoring plan 3. **Implementation**: Provide refactored code for top priorities **Use Cases:** - Technical debt reduction - Code quality improvement - Legacy code modernization - Design pattern implementation #### 3. Test Pipeline Comprehensive test generation with coverage analysis. ```bash claude-flow stream-chain pipeline test ``` **Workflow Steps:** 1. **Coverage Analysis**: Identify areas lacking tests 2. **Test Design**: Create test cases for critical functions 3. **Implementation**: Generate unit tests with assertions **Use Cases:** - Increasing test coverage - TDD workflow support - Regression test creation - Quality assurance #### 4. Optimize Pipeline Performance optimization with profiling and implementation. ```bash claude-flow stream-chain pipeline optimize ``` **Workflow Steps:** 1. **Profiling**: Identify performance bottlenecks 2. **Strategy**: Analyze and suggest optimization approaches 3. **Implementation**: Provide optimized code **Use Cases:** - Performance improvement - Resource optimization - Scalability enhancement - Latency reduction ### Pipeline Options | Option | Description | Default | |--------|-------------|---------| | `--verbose` | Show detailed execution | `false` | | `--timeout <seconds>` | Timeout per step | `30` | | `--debug` | Enable debug mode | `false` | ### Pipeline Examples #### Quick Analysis ```bash claude-flow stream-chain pipeline analysis ``` #### Extended Refactoring ```bash claude-flow stream-chain pipeline refactor --timeout 60 --verbose ``` #### Debug Test Generation ```bash claude-flow stream-chain pipeline test --debug ``` #### Comprehensive Optimization ```bash claude-flow stream-chain pipeline optimize --timeout 90 --verbose ``` ### Pipeline Output Each pipeline execution provides: - **Progress**: Step-by-step execution status - **Results**: Success/failure per step - **Timing**: Total and per-step execution time - **Summary**: Consolidated results and recommendations --- ## Custom Pipeline Definitions Define reusable pipelines in `.claude-flow/config
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (4)
crates
plugin/agents
plugin/commands
plugin/skills
Gates applied: no_behavioural_pass.
2074b0fad146full audit observations/trust-audit/skill/ruvnet__stream-chain.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | 2074b0fad146 | CAUTION | B | 89 | first audit |
Questions
What does the Stream Chain skill do?
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
Is Stream Chain safe to install?
With care. The audit graded it B (89/100) and found 4 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Stream Chain access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (2074b0fad146), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.