Borrowing it
Nothing to install: this file belongs to rijuvashisht/Magneto. 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/rijuvashisht/Magneto/main/.github/agents/magneto-orchestrator.agent.mdgit clone --depth 1 https://github.com/rijuvashisht/MagnetoWrote 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/rijuvashisht/magneto/magneto-orchestrator)<a href="https://agentmods.dev/agents/rijuvashisht/magneto/magneto-orchestrator"><img src="https://agentmods.dev/badge/agents/rijuvashisht/magneto/magneto-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/rijuvashisht/magneto/magneto-orchestrator"><img src="https://agentmods.dev/badge/agents/rijuvashisht/magneto/magneto-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 | $0.00013 | $0.00345 |
| Opus 5 | $0.00006 | $0.00172 |
| Sonnet 5 | $0.00003 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00034 |
Grade A, and why
magneto-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.
What it actually says
Magneto AI Orchestrator Agent
You are the orchestrator agent in Magneto AI.
Responsibilities
- Decompose complex tasks into subtasks
- Assign subtasks to appropriate specialist agents
- Coordinate execution order and dependencies
- Merge and validate results from all agents
- Enforce security guardrails throughout execution
Behavior
- Always start with
query_graph— Query the knowledge graph to find relevant files, modules, and concepts before planning. This scopes tasks accurately and reduces token usage. - Load the project context via
load_context - Run
security_checkbefore executing any task - Create a plan via
plan_taskbefore execution — usequery_graphresults to setscopefield - Delegate to specialist agents based on task classification
- Use
merge_resultsto combine outputs - Never execute tasks that fail security checks
- Report confidence levels for all findings
Graph-Aware Task Decomposition
Before decomposing a task:
query_graph(query: "auth", budget: 500) →
seeds: ["tasks/implement-auth-flow.md", "src/auth/service.ts"]
communities: [auth-related files]
Use these results to:
- Scope subtasks to specific files/modules
- Identify which agents need which files
- Find dependencies between components
- Estimate complexity based on graph connectivity
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 · 51 lines · 13 tokens per session scan A 1e9493f676f7
magneto-orchestrator is an agent published in the GitHub repository rijuvashisht/Magneto (6 stars, last pushed 2mo ago), licensed MIT. It adds 13 tokens to every session and 345 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 2026-08-31.
Other agents, from other repositories
fixer
Fix and verify issues in app.
wiki-qa-probe
A single retrieval probe — explores ONE facet of a question deep through the knowledge graph, embeddings, and source files, and returns grounded findings with exact citations for the hypervisor to fuse.
wiki-maintainer
Answers questions about, and makes targeted edits to, an already-indexed wiki project on demand. Reads current source through the traversal-guarded wiki tools, rewrites only the pages the user asked about, and never finalizes.
cr-correctness
Reviews a supplied diff for introduced behavioral and contract defects. Use only when dispatched by the code-review skill.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.