launch-group

A command for turning a broad work source—such as GitHub issues, Linear tickets, a backlog, or a product requirements document—into grouped features that Forge plans and develops in parallel.

In plain words
What is it for?
Use it to process selected issues, tickets, milestones, labels, backlogs, or implementation documents as coordinated feature work.
Why use it?
It removes the need to sort related work and start each development effort manually. It also limits how many development loops run at once.

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/chriswritescode-dev/opencode-forge/launch-group
Clone the repo
git clone --depth 1 https://github.com/chriswritescode-dev/opencode-forge
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 842 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 $0.00000 $0.00842
Opus 5 $0.00000 $0.00421
Sonnet 5 $0.00000 $0.00168
Haiku 4.5 $0.00000 $0.00084

Measured 2d ago against content hash c3cce89ca60c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

launch-group 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.

src/prompts/commands/launch-group.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Launch a group of features that Forge plans and executes in parallel. The input is a broad source of work — not a single issue or change — such as a set of GitHub issues, Linear tickets, a milestone or label, a backlog, a PRD, or other implementation documentation. Your job is to take that source, group it into implementation-coherent features, launch a planning session for each, and let Forge auto-launch the development loops (up to the configured concurrency cap, groupLaunch.maxConcurrentLoops).

Step 1: Understand the source

Read the user's request ($ARGUMENTS) and the surrounding conversation to identify the source they are pointing you at and any selection they implied (for example: all open issues, a range, a label, a milestone, a project or cycle). Use whatever tools are available to read it — the GitHub CLI (gh) for issues, the Linear MCP for tickets, or the provided text for a PRD.

Use the question tool only to resolve a genuine blocker (which source, or an ambiguous selection). Do not re-ask what is already clear from context, and do not demand details the source already implies.

Step 2: Gather and decompose into features

Pull the items from the source, then turn them into implementation-coherent features. Each feature needs a short title and a concrete description the architect-auto agent can plan from (name the target area, the behavior, source references, and any constraints you already know).

  • Already-discrete items (issues / tickets): start from one source item per feature, then look for non-trivial implementation coupling before launch. Prefer the smallest independently reviewable plan/PR. Group multiple items only when they must be changed together or would otherwise duplicate design/refactor work, conflict on a shared data model/API contract/state machine, require one migration, or create merge-conflict-heavy edits. Incidental same-file edits are not enough to group. Preserve every exact issue/ticket reference in a combined description, preferably URLs and otherwise canonical tracker identifiers, so the planner can re-fetch full context and the work stays traceable.
  • Unstructured input (a PRD or other documentation): do not pre-split it yourself; pass it through as prd and let the feature-splitter agent decompose it with the same small-PR-first grouping rule.
  • Do not split tightly-coupled behavior just because the source lists it as separate bullets. Do not group unrelated or merely adjacent work just to reduce loop count; grouping is only for real coupling, unavoidable sequencing, or shared architectural changes.

Read the full file on GitHub · 41 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 · 41 lines · 0 tokens per session scan A c3cce89ca60c

Subscribe to this mod's changes

launch-group is a command published in the GitHub repository chriswritescode-dev/opencode-forge (11 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 842 tokens. 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.