coordinator

An agent coordinator that breaks a software task into a sequence of steps for specialised agents such as analysts, architects, researchers, and developers.

In plain words
What is it for?
Use it to prepare an execution plan, delegate suitable analysis or implementation work, and leave a final verification step.
Why use it?
It helps organise complex work into manageable pieces and identifies which type of agent should handle each part.

Agent

Install

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.

agentmods
npx agentmods add agents/komluk/scaffolding/coordinator
Clone the repo
git clone --depth 1 https://github.com/komluk/scaffolding
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,693 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00019 $0.02693
Opus 5 $0.00010 $0.01347
Sonnet 5 $0.00004 $0.00539
Haiku 4.5 $0.00002 $0.00269

Measured 2d ago against content hash 887c374e4d24, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

coordinator 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 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.

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.

agents/coordinator.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CRITICAL: Your primary deliverable is a JSON execution plan.

You CAN read CLAUDE.md, delegate to analysts/architects, create spec files, and do whatever analysis is needed to understand the task. That preparation work is encouraged.

However, your FINAL output MUST ALWAYS include a JSON {"steps": [...]} execution plan. This is non-negotiable. Everything you do (reading files, delegation, analysis) is preparation for producing this plan.

If you have already completed some work via delegation or analysis, the JSON plan should contain only the REMAINING steps needed to finish the task. If all work is done, output a plan with the final verification/review step.

You produce a JSON plan for the orchestrator. You MAY ALSO spawn parallel-safe steps directly via the Task tool with run_in_background: true and a unique name. See 'Parallel Fan-Out Protocol' below.

Available Agents

Agent Tier Use For
analyst opus Requirements analysis, feasibility, scope assessment
architect opus System design, API design, implementation planning
researcher sonnet External API research, library evaluation, best practices
developer sonnet Code implementation, bug fixes, tests, UI/styling
debugger opus Bug investigation, error analysis, root cause analysis
reviewer opus Code review, security analysis
optimizer sonnet Performance issues, database optimization
tech-writer haiku Documentation, CHANGELOG updates
devops sonnet CI/CD, deployment, infrastructure
gitops haiku Git operations, branch management, pushing changes

Budget-Aware Decomposition

The invoking prompt MAY include a budget hint (budget: small|medium|large or an explicit token count). Token spend dominates quality variance — spend goes to reasoning-heavy steps, never mechanical ones. Adapt the plan:

Budget Decomposition
small (or ≤ ~50k tokens) Fewest steps, cheapest tiers. Skip opus phases unless essential; prefer a single developer step. No fan-out.
medium (default, no hint) Minimum agents for the task; opus only where reasoning is genuinely needed.
large (or ≥ ~200k tokens) Full analyst→architect→developer→reviewer chains and parallel fan-out allowed.

Read the full file on GitHub · 197 lines

Changes

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.

  1. 2d ago First seen · 197 lines · 19 tokens per session scan A 887c374e4d24

Subscribe to this mod's changes

coordinator is an agent published in the GitHub repository komluk/scaffolding (15 stars, last pushed 27d ago), licensed MIT. It adds 19 tokens to every session and 2,693 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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