kanban-worker

kanban-worker is a skill for Claude Code, Codex from S3YED/appie-kit. It costs 60 tokens per session (2,088 once invoked), scanned A, a copy of kanban-worker, MIT.

A detailed guide for agents working on tasks assigned through the Hermes Kanban system. It explains how to handle different workspace types, report progress, hand off work, and diagnose retries or edge cases.

In plain words
What is it for?
Use it when executing a Kanban card, especially when working in a temporary folder, shared directory, or Git worktree.
Why use it?
It helps workers follow the assigned scope and produce useful, verifiable results when several agents share a workflow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when executing a Kanban card, especially when working in a temporary folder, shared directory, or Git worktree.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/s3yed/appie-kit/kanban-worker
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 S3YED/appie-kit --skill kanban-worker
Clone the repo
git clone --depth 1 https://github.com/S3YED/appie-kit

Made for: Claude Code, Codex.

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 kanban-worker

README.md
[![agentmods](https://agentmods.dev/badge/skills/s3yed/appie-kit/kanban-worker.svg)](https://agentmods.dev/skills/s3yed/appie-kit/kanban-worker)
Your own site
<a href="https://agentmods.dev/skills/s3yed/appie-kit/kanban-worker"><img src="https://agentmods.dev/badge/skills/s3yed/appie-kit/kanban-worker.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,088 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 89% copy Near-identical to another mod 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 $0.00060 $0.02088
Opus 5 $0.00030 $0.01044
Sonnet 5 $0.00012 $0.00418
Haiku 4.5 $0.00006 $0.00209

Measured 7d ago against content hash 05f86c02102c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

kanban-worker 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 7d 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.

Origin

This is a copy

89% identical to kanban-worker — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/automation/kanban-worker/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kanban Worker — Pitfalls and Examples

You're seeing this skill because the Hermes Kanban dispatcher spawned you as a worker with --skills kanban-worker — it's loaded automatically for every dispatched worker. The lifecycle (6 steps: orient → work → heartbeat → block/complete) also lives in the KANBAN_GUIDANCE block that's auto-injected into your system prompt. This skill is the deeper detail: good handoff shapes, retry diagnostics, edge cases.

Workspace handling

Your workspace kind determines how you should behave inside $HERMES_KANBAN_WORKSPACE:

Kind What it is How to work
scratch Fresh tmp dir, yours alone Read/write freely; it gets GC'd when the task is archived.
dir:<path> Shared persistent directory Other runs will read what you write. Treat it like long-lived state. Path is guaranteed absolute (the kernel rejects relative paths).
worktree Git worktree at the resolved path If .git doesn't exist, run git worktree add <path> <branch> from the main repo first, then cd and work normally. Commit work here.

Tenant isolation

If $HERMES_TENANT is set, the task belongs to a tenant namespace. When reading or writing persistent memory, prefix memory entries with the tenant so context doesn't leak across tenants:

  • Good: business-a: Acme is our biggest customer
  • Bad (leaks): Acme is our biggest customer

Good summary + metadata shapes

The kanban_complete(summary=..., metadata=...) handoff is how downstream workers read what you did. Patterns that work:

Coding task:

kanban_complete(
    summary="shipped rate limiter — token bucket, keys on user_id with IP fallback, 14 tests pass",
    metadata={
        "changed_files": ["rate_limiter.py", "tests/test_rate_limiter.py"],
        "tests_run": 14,
        "tests_passed": 14,
        "decisions": ["user_id primary, IP fallback for unauthenticated requests"],
    },
)

Research task:

kanban_complete(
    summary="3 competing libraries reviewed; vLLM wins on throughput, SGLang on latency, Tensorrt-LLM on memory efficiency",
    metadata={
        "sources_read": 12,
        "recommendation": "vLLM",
        "benchmarks": {"vllm": 1.0, "sglang": 0.87, "trtllm": 0.72},
    },
)

Read the full file on GitHub · 161 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. 7d ago First seen · 161 lines · 60 tokens per session scan A 05f86c02102c

Subscribe to this mod's changes

kanban-worker is a skill published in the GitHub repository S3YED/appie-kit (7 stars, last pushed 12d ago), licensed MIT. It adds 60 tokens to every session and 2,088 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to kanban-worker, differing in 26 lines, and is treated as a copy.

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