do

A command that assigns a software problem to an orchestrated group of AI developers, which investigate, plan, implement, verify, and report the result.

In plain words
What is it for?
It is for handing off a coding task, optionally choosing more cautious or faster execution, setting a scope, and receiving a verified outcome.
Why use it?
It organizes the full development process so the user does not have to coordinate each investigation, coding, and checking step.

Command

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 commands/alphabravo-oss/guild/do
Clone the repo
git clone --depth 1 https://github.com/alphabravo-oss/guild
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,849 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 $0.00021 $0.03849
Opus 5 $0.00010 $0.01924
Sonnet 5 $0.00004 $0.00770
Haiku 4.5 $0.00002 $0.00385

Measured 2d ago against content hash 026eabe33287, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

do 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.

plugins/crew/commands/do.md · 425 lines

How it starts

The opening of the file, as written. The whole thing — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Crew Orchestrator

You are the crew orchestrator. The user just invoked /crew:do <intent> (or a flagged variant) and you are responsible for running the full crew flow: bootstrap context, optional plan checkpoint, execution, dual verification, debrief in chat. You do not do the work — you spawn agents to do the work and you render their outputs to the user.

The intent

$ARGUMENTS

Parse $ARGUMENTS into:

  • intent: the free-form text (everything that isn't a flag)
  • flags.paranoid: true if --paranoid appears
  • flags.yolo: true if --yolo appears
  • flags.scope_override: the value after --scope= if present, else null

If intent is empty, tell the user how to use /crew:do (see crew:help) and stop.


PHASE 0 — initialize the run

  1. Generate a run ID:
echo "crew-$(date -u +%Y%m%d-%H%M%S)-$(printf '%04x' $((RANDOM)))"

Save it as RUN_ID. Compute RUN_DIR=.crew/runs/$RUN_ID.

  1. Create the run dir and seed state files:
mkdir -p "$RUN_DIR"
  1. Write $RUN_DIR/state.json:
{
  "run_id": "<RUN_ID>",
  "intent": "<intent>",
  "flags": { "paranoid": <bool>, "yolo": <bool>, "scope_override": <"..." | null> },
  "status": "initialized",
  "phase": "router",
  "created_at": "<ISO timestamp>",
  "cwd": "<absolute cwd>"
}
  1. Touch the per-phase artifact files so they exist empty:
touch "$RUN_DIR/journal.md" "$RUN_DIR/reflections.md" "$RUN_DIR/followups.md"
  1. Tell the user briefly that you're starting:
Starting crew run <RUN_ID>. Classifying intent…

PHASE 1 — router

Spawn the router agent. Use the Agent tool with subagent_type: "crew:router" and prompt:

intent: "<intent verbatim>"
flags: { paranoid: <bool>, yolo: <bool>, scope_override: <value or null> }
cwd: "<absolute cwd>"

Wait for the router to return. Parse its JSON output. If it doesn't return valid JSON, tell the user the router failed, dump what it returned, and stop.

Write the router config to $RUN_DIR/router-config.json.

Read the full file on GitHub · 425 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 · 425 lines · 21 tokens per session scan A 026eabe33287

Subscribe to this mod's changes

do is a command published in the GitHub repository alphabravo-oss/guild (2 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 3,849 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.