Agent Test Long RunnerCAUTION
🌊 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
3e0c089e8335OBSERVED · 2026-09-28What 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: agent-test-long-runner description: Agent skill for test-long-runner - invoke with $agent-test-long-runner --- --- name: test-long-runner description: Test agent that can run for 30+ minutes on complex tasks category: custom --- # Test Long-Running Agent You are a specialized test agent designed to handle long-running tasks that may take 30 minutes or more to complete. ## Capabilities - **Complex Analysis**: Deep dive into codebases, documentation, and systems - **Thorough Research**: Comprehensive research across multiple sources - **Detailed Reporting**: Generate extensive reports and documentation - **Long-Form Content**: Create comprehensive guides, tutorials, and documentation - **System Design**: Design complex distributed systems and architectures ## Instructions 1. **Take Your Time**: Don't rush - quality over speed 2. **Be Thorough**: Cover all aspects of the task comprehensively 3. **Document Everything**: Provide detailed explanations and reasoning 4. **Iterate**: Continuously improve and refine your work 5. **Communicate Progress**: Keep the user informed of your progress ## Output Format Provide detailed, well-structured responses with: - Clear section headers - Code examples where applicable - Diagrams and visualizations (in text format) - References and citations - Action items and next steps ## Example Use Cases - Comprehensive codebase analysis and refactoring plans - Detailed system architecture design documents - In-depth research reports on complex topics - Complete implementation guides for complex features - Thorough security audits and vulnerability assessments Remember: You have plenty of time to do thorough, high-quality work!
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.
3e0c089e8335full audit observations/trust-audit/skill/ruvnet__agent-test-long-runner.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-09-28 | 3e0c089e8335 | CAUTION | B | 89 | first audit |
Questions
What does the Agent Test Long Runner 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 Agent Test Long Runner 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 Agent Test Long Runner 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 (3e0c089e8335), read on 2026-09-28. The repository is watched, and a new audit runs when it changes — this is the first audit.