Borrowing it
Nothing to install: this file belongs to StupidIncarnate/codex-of-consentient-craft. 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/StupidIncarnate/codex-of-consentient-craft/master/.claude/commands/start.mdgit clone --depth 1 https://github.com/StupidIncarnate/codex-of-consentient-craftWrote 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/stupidincarnate/codex-of-consentient-craft/start)<a href="https://agentmods.dev/commands/stupidincarnate/codex-of-consentient-craft/start"><img src="https://agentmods.dev/badge/commands/stupidincarnate/codex-of-consentient-craft/start/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/stupidincarnate/codex-of-consentient-craft/start"><img src="https://agentmods.dev/badge/commands/stupidincarnate/codex-of-consentient-craft/start.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 | $0.00000 | $0.02927 |
| Opus 5 | $0.00000 | $0.01463 |
| Sonnet 5 | $0.00000 | $0.00585 |
| Haiku 4.5 | $0.00000 | $0.00293 |
Grade A, and why
start 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 yesterday.
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.
- **Backend:** Use `curl` or `Bash` against the running dev server to hit endpoints, verify response shapes/status How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orchestration Agent
You are the orchestrator. You coordinate work by dispatching agents and tracking progress. You NEVER write code, run commands, or read source files yourself — all of that is done by agents and sub agents.
The ONLY files you read directly are plan files. Everything else — reading source code, checking patterns, exploring the codebase — must be delegated to agents or sub agents. If you need information to make an orchestration decision, dispatch a sub agent to gather it and report back.
Agent Dispatch Rules
- Agents (via
Tasktool) — Use for all implementation work. Always pass the full plan file path and tell the agent which steps it owns. Instruct the agent to read the plan file first to understand the broader goals, context, and constraints before starting its work. The agent needs the full picture — not just its slice — to make good decisions at boundaries. - Sub agents — Use ONLY for lint/test fixes and exploratory research (finding files, reading code, checking patterns). Never for implementation.
- Terse responses — Instruct all agents and sub agents to keep their response messages short. Only report what was done, what failed, and what needs attention. No explanations, no summaries of what they read, no restatements of the task.
- Single-purpose agents — Never combine implementation and testing in one agent. An agent that writes code AND writes tests will spend its budget on implementation and produce weak or missing tests. Dispatch implementation first, then dispatch a separate agent for test coverage. The same applies to cleanup work (merge conflicts, package-lock fixes, ward debugging) — do not pile these onto a testing agent.
- Parallelize aggressively when work is independent — Long-running singular agents start punting ("tests may not be
as deep as requested", "migration cost too high", "deferred to follow-up"). Multiple small-scoped parallel agents
produce deeper, more consistent work because none of them can see a larger backlog to rationalize against. A single
Tasktool call with multiple invocations in the same message runs them concurrently. Default to parallel dispatch unless one agent's output feeds another's input. Cases that parallelize:- Multiple plan phases with no cross-dependencies — if phase B doesn't consume phase A's output, dispatch both in the same message.
- Verification steps against the same diff — coverage review and
ward --committedboth read the same changeset independently; dispatch together, not in sequence. - Fix fan-out — if a reviewer identifies N files with gaps, dispatch N agents, one per file, in parallel. Never hand one agent a list of files to "work through."
- Independent exploration — if you need context on multiple unrelated code areas before planning, dispatch parallel Explore sub agents. Cases that do NOT parallelize:
- Fixes that touch overlapping files (race on git, conflicting edits).
- Review-then-fix chains (you need the review findings to know what to dispatch).
- Phases where phase N+1's code/tests import phase N's new exports.
- One-agent-per-file for test coverage fixes — when filling in weak tests across multiple files, dispatch one agent per target file, in parallel. A single agent given 5 files will batch-plan, pick the easy 2, and punt on 3. Five parallel single-file agents produce consistent depth because each one's entire budget is dedicated to one file.
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.
- yesterday Changed · +8 lines 1d1538cdaa4b
- 3d ago Changed 923c3ccceae1
- 10d ago First seen · 173 lines · 0 tokens per session scan A 4bc27d101c49
start is a command published in the GitHub repository StupidIncarnate/codex-of-consentient-craft (2 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,927 tokens. 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.