moai-kanban-foreman

moai-kanban-foreman is a skill for Claude Code from modu-ai/moai-adk. It costs 76 tokens per session (1,992 once invoked), scanned A, original, Apache-2.0.

An unattended pass through a kanban board, a task board with cards in a queue. It sends the next selected card to an isolated worker, checks evidence of completion, and reports the result.

In plain words
What is it for?
Running one iteration of a background kanban loop, dispatching tasks to workers, checking completed work, and reporting blocked or finished cards.
Why use it?
It keeps queued work moving without stopping to ask questions. Decisions that need a person are recorded as blocked cards.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool; mentions Claude Code.

Good fit Running one iteration of a background kanban loop, dispatching tasks to workers, checking completed work, and reporting blocked or finished cards.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/modu-ai/moai-adk/moai-kanban-foreman
About the project

MoAI-ADK is a Go-based harness that organizes and verifies Claude Code work across planning, implementation, synchronization, and review stages. Developers use it to structure agentic coding tasks, apply quality gates, and route work across language models, while the catalogue entries extend its workflow with skills, hooks, commands, MCP servers, instructions, and settings.

modu-ai/moai-adk · 1,206 stars · on GitHub · adk.mo.ai.kr

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 modu-ai/moai-adk --skill moai-kanban-foreman
Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-adk

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 moai-kanban-foreman

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-kanban-foreman/github.svg)](https://agentmods.dev/skills/modu-ai/moai-adk/moai-kanban-foreman)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-kanban-foreman"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-kanban-foreman/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 moai-kanban-foreman

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-adk/moai-kanban-foreman"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-adk/moai-kanban-foreman.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,992 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 66
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00076 $0.01992
Opus 5 $0.00038 $0.00996
Sonnet 5 $0.00015 $0.00398
Haiku 4.5 $0.00008 $0.00199

Measured 12d ago against content hash 5c7681e02186, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

moai-kanban-foreman 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 12d 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.

.claude/skills/moai-kanban-foreman/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kanban Foreman Loop Iteration

One unattended pass of the kanban foreman: watch the backlog queue, dispatch the next operator-picked card to an isolated worker, collect completion evidence, report. The queue surface is moai todo; the dispatch protocol and card classes live in the kanban dispatch rule (.claude/rules/moai/workflow/kanban-dispatch.md).

Running unattended

AskUserQuestion is removed from the tool pool while this skill is active — that is the mechanical guarantee that the loop cannot stop and ask. Anything that would have been a question becomes a line in the iteration report, and anything that genuinely needs the operator's decision becomes a blocked card under Boundaries below.

Deployment: start a session in the project, run bare /loop, then background the session — loop tasks carry over to the background session and keep running without a terminal. Esc cancels the pending wakeup of a waiting loop. A recurring loop expires seven days after creation; restart it when the board still needs a foreman. Background monitors do not survive a session resume — the first iteration after a resume re-arms the queue watch.

The session's permission settings must already allow what this loop uses (queue reads, git inspection, the worker spawn). A permission prompt that surfaces while unattended stalls the iteration until someone attaches; pre-approving that surface in project settings is the operator's setup step, not something this loop can do for itself.

Boundaries (hard)

  1. The operator admits and picks work. Only backlog items whose state is already picked are dispatchable. Never run moai todo add; never run moai todo next <n> — that mutation is the operator's pick. Never invent, reword, or reorder cards. An empty queue is a legitimate state: say so and idle.
  2. No approval gate is answered on the operator's behalf. When a card's next step needs a human decision that is not already recorded as made (plan-to-run kickoff approval, a review severity call, a scope choice), do not proceed. Leave the card picked, name it blocked-for-operator in the report together with the decision it waits on, and move on.
  3. One write-capable worker at a time. While a worker is in flight the iteration only reads. Never run two write-capable agents concurrently.
  4. Every worker runs in its own worktree (isolation: "worktree" on the spawn; relative paths in the prompt — the worker's CWD is its worktree root). Nothing writes to the shared checkout.
  5. No integration actions. No push, no pull request, no merge, no branch deletion, no worktree disposal. The card's branch is unpushed and its worktree is the work's only instance; both stay until the operator integrates them. The report names the branch and the worktree path.
  6. Verification is lane-local. The worker runs only the checks its own change can affect; the full suite belongs to CI. Never spawn background CPU load — the queue watch below is the only long-running process this loop arms.
  7. Completion is read, never trusted. A card advances only on evidence this iteration actually read.

Read the full file on GitHub · 175 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. 12d ago First seen · 175 lines · 76 tokens per session scan A 5c7681e02186

Subscribe to this mod's changes

moai-kanban-foreman is a skill published in the GitHub repository modu-ai/moai-adk (1,206 stars, last pushed yesterday), licensed Apache-2.0. It adds 76 tokens to every session and 1,992 once invoked, about $0.0004 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.