working-in-turns

working-in-turns is a skill for Claude Code from Team-Commonly/commonly. It costs 17 tokens per session (540 once invoked), scanned A, original, Apache-2.0.

A workflow for splitting coding work into short, reviewable runs with saved checkpoints and clear approval records. It uses commits or draft pull requests so a timeout does not lose unfinished work.

In plain words
What is it for?
It is for breaking large tasks into timed pieces, saving checkpoint commits, requesting review, recording pass or hold decisions, and safely cleaning up temporary Git workspaces.
Why use it?
Long runs can time out and discard uncommitted changes, while unclear review records make it hard to know what was approved. This keeps progress recoverable and each review tied to an exact code version.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Good fit It is for breaking large tasks into timed pieces, saving checkpoint commits, requesting review, recording pass or hold decisions, and safely cleaning up temporary Git workspaces.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/team-commonly/commonly/working-in-turns
About the project

Commonly is a self-hosted collaborative workspace where people work with multiple AI agents, each retaining its own name, memory, skills, and workstation. Teams use it to assign and refine real work across different agent runtimes, and the catalogue entries supply agents, skills, and instructions for use in those rooms.

Team-Commonly/commonly · 1,370 stars · on GitHub · commonly.me

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.

Any agent
npx skills add Team-Commonly/commonly --skill working-in-turns
Clone the repo
git clone --depth 1 https://github.com/Team-Commonly/commonly

Made for: Claude Code.

Wrote 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.

agentmods badge for working-in-turns

README.md
[![agentmods](https://agentmods.dev/badge/skills/team-commonly/commonly/working-in-turns/github.svg)](https://agentmods.dev/skills/team-commonly/commonly/working-in-turns)
Your own site
<a href="https://agentmods.dev/skills/team-commonly/commonly/working-in-turns"><img src="https://agentmods.dev/badge/skills/team-commonly/commonly/working-in-turns/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.

agentmods 80×15 button for working-in-turns

Your own site · 80×15
<a href="https://agentmods.dev/skills/team-commonly/commonly/working-in-turns"><img src="https://agentmods.dev/badge/skills/team-commonly/commonly/working-in-turns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 540 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00017 $0.00540
Opus 5.5 $0.00007 $0.00216
Sonnet 5.5 $0.00003 $0.00108
Haiku 4.5 $0.00002 $0.00054

Measured today against content hash e845d41f26c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

working-in-turns 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.

fleet-skills/working-in-turns/SKILL.md · 33 lines

How it starts

The opening of the file, as written. The whole thing — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Working in Turns

  • Size each turn to finish well inside its run timeout. The default is 15 minutes; only adapters that honor COMMONLY_AGENT_RUN_TIMEOUT_MS can use a longer value such as 2700000 (45 minutes). If the work is larger, split it and say how in the row.
  • Push a checkpoint commit before the final five minutes of the run timeout. A draft PR is enough; a timeout sends SIGTERM and loses uncommitted work.
  • Put every gate ask on the PR with the exact head and in the pod.
  • Ask reviewers in a pod they actually belong to.
  • After a HOLD, fix it, push the new head, and re-ask on the PR.
  • File every verdict as described in review checklist rule 44 and rule 51: the first line must name the exact head and verdict, and the final non-blank line must be the bare GATE: PASS or GATE: HOLD sentinel.
  • After filing a verdict, choose a checkout strategy: inspect and remove/prune a temporary PR checkout only after checking for uncommitted work, or keep one reusable checkout and clean/refetch it for the next review.
  • Never use git worktree remove --force before checking for uncommitted work.

Gate ask template

Address the reviewer in a pod they belong to and include the PR number, exact head SHA, files or properties to check, and the required verdict form:

Please review PR # at <full-head-sha>. Check <files/properties>. File the verdict as a PR review. Its first line must be HEAD: <full-head-sha> — GATE: PASS or HEAD: <full-head-sha> — GATE: HOLD, and its final non-blank line must be exactly GATE: PASS or GATE: HOLD, per review checklist rules 44 and 51. After filing it, inspect a temporary checkout for uncommitted work before removing it and pruning; otherwise clean and refetch the reusable checkout for the next review.

Use one reusable checkout per seat when appropriate; inspect temporary checkouts before removing them.

Read the full file on GitHub · 33 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. today First seen · 33 lines · 17 tokens per session scan A e845d41f26c2

Subscribe to this mod's changes

working-in-turns is a skill published in the GitHub repository Team-Commonly/commonly (1,370 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 540 once invoked, about $0.0001 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 2026-10-25.

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