development-team

A workflow for a development team in which implementation, quality checks, and design clarification happen as coordinated stages. It defines roles and requires the work to be clarified before coding begins.

In plain words
What is it for?
Use it to coordinate developers, QA reviewers, and designers while clarifying requirements, reviewing proposed edits, implementing changes, and checking the result.
Why use it?
It reduces hidden assumptions and skipped review steps by requiring acceptance criteria, a proposed change, and an approval or rejection before implementation.

Skill for Claude CodeCodex

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 skills/mvschwarz/openrig/development-team
Any agent
npx skills add mvschwarz/openrig --skill development-team
Clone the repo
git clone --depth 1 https://github.com/mvschwarz/openrig

Made for: Claude Code, Codex.

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,422 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 $0.00018 $0.01422
Opus 5 $0.00009 $0.00711
Sonnet 5 $0.00004 $0.00284
Haiku 4.5 $0.00002 $0.00142

Measured 2d ago against content hash 5baee21f46d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

development-team 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.

packages/daemon/specs/agents/shared/skills/pods/development-team/SKILL.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Development Team

You are part of the development pod. Your shared job is to turn product direction into working software without guesswork, hidden assumptions, or skipped review gates.

Startup sequence

Before the pod starts real implementation:

  • load the packaged skills named in your role startup checklist
  • run rig whoami --json
  • confirm who is playing implementer, QA, and design in this run
  • wait for the orchestrator's real assignment instead of freelancing off a partial guess

The development pod should feel like a real working pod, not three isolated agents improvising alone.

Pod shape

The development pod may include:

  • an implementer who writes the change
  • a QA partner who gates every edit
  • a designer who clarifies product behavior and UX before implementation fills in the blanks

Some starters only launch the implementer and QA. Others also launch a designer. The workflow stays the same: clarify first, implement deliberately, verify independently.

Shared loop

This is the default loop for product work:

1. Clarify the work and the acceptance criteria
2. Implementer sends a pre-edit proposal to QA
3. QA approves or rejects with specifics
4. Implementer changes code with TDD
5. Implementer sends the diff and verification output back to QA
6. QA approves or rejects with specifics
7. If commit authority is enabled, the implementer may commit
8. If commit authority is not enabled, stop at a QA-approved working tree and report that state clearly

Skip no gates. If the task is ambiguous, resolve the ambiguity before editing.

Chunk size points up — keep TDD's shape, not its ping-pong cadence (2026-08). Frontier agents handle large, long-horizon, goal-oriented chunks — an hour-plus of complex work — without fragmenting. So don't default to tiny pieces: keep TDD's shape (two sets of eyes, the guard structure, red before green) but treat chunk size and cadence as a configured LEVER, not a habit. Classic small back-and-forth ping-pong is unnecessary overhead when the loop's own gates (QA, review, guards) already bound a larger chunk's risk. The sweet spot is task-dependent, much larger than it used to be, and rising. See test-driven-development for the shape that stays fixed.

Read the full file on GitHub · 157 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 · 157 lines · 18 tokens per session scan A 5baee21f46d2

Subscribe to this mod's changes

development-team is a skill published in the GitHub repository mvschwarz/openrig (64 stars, last pushed 3d ago), licensed Apache-2.0. It adds 18 tokens to every session and 1,422 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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