Archon is a workflow engine for AI coding agents that turns development processes into YAML-defined sequences with phases, validation gates, and artifacts. Developers use it to run repeatable processes such as planning, implementation, testing, code review, and pull-request creation across projects. The catalogue entries provide commands, agents, skills, hooks, instructions, and settings for working with Archon.
Borrowing it
Nothing to install: this file belongs to coleam00/Archon. 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/coleam00/Archon/dev/.claude/commands/prime-backend.mdgit clone --depth 1 https://github.com/coleam00/ArchonWrote 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/coleam00/archon/prime-backend)<a href="https://agentmods.dev/commands/coleam00/archon/prime-backend"><img src="https://agentmods.dev/badge/commands/coleam00/archon/prime-backend/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/commands/coleam00/archon/prime-backend"><img src="https://agentmods.dev/badge/commands/coleam00/archon/prime-backend.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 | $0.00012 | $0.00798 |
| Opus 5.5 | $0.00005 | $0.00319 |
| Sonnet 5.5 | $0.00002 | $0.00160 |
| Haiku 4.5 | $0.00001 | $0.00080 |
Grade A, and why
prime-backend 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 today.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- prime-backend — 91% identical, 30 lines differ
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prime Backend: Core and Server Orientation
Objective
Orient on the backend packages (packages/core/ and packages/server/) before working on
server logic, orchestration, AI clients, slash commands, or API routes.
Process
1. Understand the Core Package Structure
!ls packages/core/src/
2. Understand Message Flow (Orchestrator)
Read packages/core/src/orchestrator/orchestrator-agent.ts — the single entry point for all
platform messages. Maps messages to slash commands (via command-handler) or AI execution. Note
the lazy logger pattern and MAX_BATCH constants.
Read packages/core/src/orchestrator/dispatch/isolation-resolver.ts — validateAndResolveIsolation —
and the top of packages/core/src/orchestrator/dispatch/background.ts — dispatchBackgroundWorkflow.
Read packages/core/src/orchestrator/prompt-builder.ts first 40 lines — how system prompts
are assembled with codebase context.
3. Understand Slash Command Routing
Read packages/core/src/handlers/command-handler.ts first 80 lines — deterministic command
dispatch (no AI). Note the full list of supported slash commands.
4. Understand Session State Machine
Read packages/core/src/state/session-transitions.ts for command-trigger mapping and safe
deactivation, and packages/core/src/schemas/session.ts for the validated session reasons.
5. Understand AI Client Patterns
List providers:
!ls packages/core/src/providers/
Read packages/core/src/providers/factory.ts for provider selection logic.
Read packages/core/src/providers/claude.ts first 50 lines — IAgentProvider implementation
with streaming event loop pattern.
6. Understand Database Layer
List DB modules:
!ls packages/core/src/db/
Read packages/core/src/types/index.ts (or the main types file) first 60 lines for key
interfaces: IPlatformAdapter, IAgentProvider, Conversation, Session.
7. Understand the Server
Read packages/server/src/index.ts first 80 lines — adapter wiring, port allocation logic
(worktree auto-port in 3190–4089 range), Hono app setup.
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.
- today Changed f4a29fe882a0
- 3d ago Changed 1e839d732826
- 4d ago Changed d34224269855
- 7d ago Changed 3674d06a2a60
- 19d ago Changed 0e557bfc2465
- 1mo ago First seen · 97 lines · 12 tokens per session scan A dcef3ce0a35b
prime-backend is a command published in the GitHub repository coleam00/Archon (23,752 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 798 once invoked, about $0.0000 per session on Opus 5.5. 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.
Other commands, from other repositories
fix-issues
Diagnose, reproduce, then fix reproducible open GitHub issues in parallel: one clean worktree/issue; symlink build artifacts to avoid rebuilds.
review-prs
Parallel PR triage: decide merge-worthiness, prepare rebased worktrees, fix blockers, return them for human merge.
triage
Classify/label newly opened GitHub issues missing labels.
release
Release all packages at specified version.
cleanup
Autonomous cleanup-loop iteration: discover ONE target → complete execution → verify → report. Runs stateless: derive from current tree; assume prior runs left it consistent.
hatch3r-project-spec
Translate a greenfield vision into future-state design artifacts -- ADRs, domain model, API contracts, per-module technical specs, and a board-ready todo.md.