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.
git clone --depth 1 https://github.com/Omar-Obando/qwen-orchestratorWrote 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/commands/omar-obando/qwen-orchestrator/plan)<a href="https://agentmods.dev/commands/omar-obando/qwen-orchestrator/plan"><img src="https://agentmods.dev/badge/commands/omar-obando/qwen-orchestrator/plan.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 | $0.00000 | $0.00265 |
| Opus 5 | $0.00000 | $0.00133 |
| Sonnet 5 | $0.00000 | $0.00053 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
plan 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 8d 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.
What it actually says
Create a detailed implementation plan for the following feature:
Feature: {{args}}
Planning Protocol
- SURVEY: Read relevant codebase sections to understand current state
- ANALYZE: Understand requirements, constraints, and dependencies
- DECOMPOSE: Break into milestones → tasks → atomic sub-tasks
- ESTIMATE: Assign size (S/M/L) to each sub-task
- IDENTIFY RISKS: List potential blockers and mitigation strategies
- DOCUMENT: Create plan using
TodoWritewith all tasks
Plan Format
# Plan: [Feature Name]
## Overview
[Brief description]
## Architecture Impact
[Files/modules affected]
## Implementation Plan
### M1: [Milestone]
#### T1.1: [Task] | agent:Frontend Developer
- [ ] S1.1.1: [Sub-task] | size:S
- [ ] S1.1.2: [Sub-task] | size:M
### M2: [Milestone] | depends:M1
...
## Risks
[Risk assessment]
## Alternatives Considered
[What was rejected and why]
Begin by reading the codebase structure and relevant files.
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.
- 8d ago First seen · 50 lines · 0 tokens per session scan A 263a6bcb2bde
plan is a command published in the GitHub repository Omar-Obando/qwen-orchestrator (48 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 265 tokens. 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.
Other commands, from other repositories
graph
Show memories related to a given one — knowledge-graph traversal up to 3 hops.
export
GDPR Article 20 — export all memories you own as portable JSON.
toefl-grade
A TOEFL answer-scoring command that uses a local language model, and speech-to-text software for recordings, to assess reading, listening, writing, and speaking practice. TOEFL is an English test with separate reading, listening, writing, and speaking sections.
toefl-practice
A local, offline generator for TOEFL practice questions. TOEFL is an English-language test with reading, listening, speaking, and writing sections.
preview
Open a URL in the desktop browser panel for the current session. With no argument it opens the workspace's static entry point, falling back to this session's existing preview target when no entry point exists. A local file can be opened by its absolute file:// URL. Use maestro preview clear to empty the panel.
status
Show Maestro daemon status. Use this to verify the daemon is up and check which port it is bound to.