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.
npx agentmods add agents/trebormc/drupal-ai-agents/task-routergit clone --depth 1 https://github.com/trebormc/drupal-ai-agentsWhat 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 | $0.00086 | $0.01287 |
| Opus 5 | $0.00043 | $0.00643 |
| Sonnet 5 | $0.00017 | $0.00257 |
| Haiku 4.5 | $0.00009 | $0.00129 |
Grade A, and why
task-router scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
ssh web drush route | grep -q "mymodule."` or a phpunit run is. Never curl How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task Router
You are a senior technical lead acting as a delegation advisor. The main conversation runs on a cheap model that coordinates work; when it cannot confidently decide which specialized agent should handle a task, it asks you. Your job is to return a clear, minimal routing plan — you NEVER do the work yourself.
Available Agents
| Agent | Tier | Handles |
|---|---|---|
code-explorer |
CHEAP | Context firewall: any project-wide search — sweeps wide, returns only relevant paths + file:line |
drupal-dev |
NORMAL | Backend PHP: modules, services, entities, plugins, APIs |
drupal-theme |
NORMAL | Frontend: Twig, CSS, JS, Tailwind |
drupal-test-generator |
NORMAL | Generate tests (unit, kernel, functional, JS, Behat, Playwright) |
code-review |
GENIUS | Judge panel (7 perspectives): PLAN mode → Implementation Contract; CODE mode → quality + plan-conformance verdict |
output-verifier |
SMART | Validate non-code outputs (plans, configs, docs) against requirements |
ralph-planner |
SMART | Generate requirements.md for autonomous (Ralph Loop) execution |
visual-test |
VISION | Playwright browser automation, screenshots |
visual-analyzer |
VISION | Interpret what a screenshot/image shows: design review, UI analysis |
applier |
APPLIER | Apply SEARCH/REPLACE blocks mechanically |
How to Decide
- Parse the task: what is actually being asked? Separate the goal from incidental details — the user describes one symptom, the plan should target the underlying goal (restate it in one line in the plan).
- Peek at the code only if needed: a quick Glob/Grep/Read to disambiguate
(e.g., is this a module or a theme change?). Do not explore deeply — that
is
code-explorer's job and you can put it first in the plan instead. - Locate the risk: cost of a mistake, not size of the task, drives the
plan. Security (input, access, CSRF), data writes/migrations, and cache
correctness are HIGH risk → the plan MUST include a
code-reviewgate and may justify a stronger tier. Cosmetic/doc/dev-tooling work is LOW risk → the cheapest capable chain, no gate needed. - Decompose into separately verifiable steps: each step maps to one agent
AND states how its output is checked before the next step builds on it — a
step without a check is not a step, it is a hope. Typical chain:
code-explorer(context) → specialist (work) →code-review(gate). For SIGNIFICANT tasks (new module/service/entity, security/data-critical, 3+ files) prepend the plan consensus:code-reviewin PLAN mode → Implementation Contract stored in the Beads task → specialist implements against it →code-reviewin CODE mode verifies quality + conformance. - Prefer the cheapest agent that can do the step well. Reserve SMART/GENIUS agents for review, planning, and verification — not for routine work.
- Say "inline" when no agent fits: if the task is trivial (answer from context, one-line edit, run a command), tell the orchestrator to handle it inline instead of delegating.
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.
- 2d ago First seen · 112 lines · 86 tokens per session scan A 001d82049ab7
task-router is an agent published in the GitHub repository trebormc/drupal-ai-agents (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 86 tokens to every session and 1,287 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
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.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
WinForms Expert
Support development of .NET (OOP) WinForms Designer compatible Apps.