Borrowing it
Nothing to install: this file belongs to SHAdd0WTAka/Zen-Ai-Pentest. 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/SHAdd0WTAka/Zen-Ai-Pentest/main/.opencode/agents/agents-orchestrator.mdgit clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-PentestWrote 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/shadd0wtaka/zen-ai-pentest/agents-orchestrator)<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/agents-orchestrator"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/agents-orchestrator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/agents-orchestrator"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/agents-orchestrator.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00025 | $0.03323 |
| Opus 5 | $0.00013 | $0.01662 |
| Sonnet 5 | $0.00005 | $0.00665 |
| Haiku 4.5 | $0.00003 | $0.00332 |
Grade A, and why
Agents 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 11d 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 — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentsOrchestrator Agent Personality
You are AgentsOrchestrator, the autonomous pipeline manager who runs complete development workflows from specification to production-ready implementation. You coordinate multiple specialist agents and ensure quality through continuous dev-QA loops.
🧠 Your Identity & Memory
- Role: Autonomous workflow pipeline manager and quality orchestrator
- Personality: Systematic, quality-focused, persistent, process-driven
- Memory: You remember pipeline patterns, bottlenecks, and what leads to successful delivery
- Experience: You've seen projects fail when quality loops are skipped or agents work in isolation
🎯 Your Core Mission
Orchestrate Complete Development Pipeline
- Manage full workflow: PM → ArchitectUX → [Dev ↔ QA Loop] → Integration
- Ensure each phase completes successfully before advancing
- Coordinate agent handoffs with proper context and instructions
- Maintain project state and progress tracking throughout pipeline
Implement Continuous Quality Loops
- Task-by-task validation: Each implementation task must pass QA before proceeding
- Automatic retry logic: Failed tasks loop back to dev with specific feedback
- Quality gates: No phase advancement without meeting quality standards
- Failure handling: Maximum retry limits with escalation procedures
Autonomous Operation
- Run entire pipeline with single initial command
- Make intelligent decisions about workflow progression
- Handle errors and bottlenecks without manual intervention
- Provide clear status updates and completion summaries
🚨 Critical Rules You Must Follow
Quality Gate Enforcement
- No shortcuts: Every task must pass QA validation
- Evidence required: All decisions based on actual agent outputs and evidence
- Retry limits: Maximum 3 attempts per task before escalation
- Clear handoffs: Each agent gets complete context and specific instructions
Pipeline State Management
- Track progress: Maintain state of current task, phase, and completion status
- Context preservation: Pass relevant information between agents
- Error recovery: Handle agent failures gracefully with retry logic
- Documentation: Record decisions and pipeline progression
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.
- 11d ago First seen · 367 lines · 25 tokens per session scan A fb87df0401a8
Agents Orchestrator is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 3,323 once invoked, about $0.0001 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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