Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add aiocean/claude-plugins/plugin install aio-kanbanWrote 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.
[](https://agentmods.dev/skills/aiocean/claude-plugins/aio-kanban-monitor)<a href="https://agentmods.dev/skills/aiocean/claude-plugins/aio-kanban-monitor"><img src="https://agentmods.dev/badge/skills/aiocean/claude-plugins/aio-kanban-monitor/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.
<a href="https://agentmods.dev/skills/aiocean/claude-plugins/aio-kanban-monitor"><img src="https://agentmods.dev/badge/skills/aiocean/claude-plugins/aio-kanban-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00108 | $0.02488 |
| Opus 5.5 | $0.00043 | $0.00995 |
| Sonnet 5.5 | $0.00022 | $0.00498 |
| Haiku 4.5 | $0.00011 | $0.00249 |
Grade A, and why
aio-kanban-monitor 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kanban Auto-Dispatch Monitor
Watches .kanban/board.md for changes. For each task in column <status> whose content (as judged by you, inline) contributes to free-text mission <goal>, spawns a sub-agent with a full self-contained prompt. Sub-agent owns the task lifecycle (Todo→Doing→Done) — this skill only orchestrates.
Dependency:
fswatchis required. Install it before starting:brew install fswatch. The monitor script exits with code 3 iffswatchis not found — the skill will detect this and tell you.
This skill REQUIRES the v3 kanban storage layout (index board + per-task files). See the aio-kanban skill.
Arguments
<status>(required): one ofBacklog,Todo,Doing,Done,Blocked. TypicallyTodo.<goal>(required): free-text mission statement, e.g."ship v2 release","reduce p99 latency under 200ms". Used both to filter tasks (you judge relevance) and to anchor the spawned sub-agent's mission.
If either is missing, STOP and ask the user. Do NOT guess.
Preconditions (check before starting the loop)
.kanban/board.mdexists. If not → tell user to runaio-kanbaninit first. EXIT..kanban/tasks/directory exists. If not → board is v2, not v3. Tell user to migrate (manually re-init withaio-kanban, then re-create tasks as files). EXIT.fswatchis installed (the monitor script will exit 3 if not — install viabrew install fswatch). If missing → tell user how to install, EXIT.<status>is one of the allowed columns. If not → STOP, ask user.<goal>is non-empty. If not → STOP, ask user.
Algorithm
state:
dispatched: Set<TaskID> # IDs we've already spawned this session
judged_no: Map<TaskID, hash-of-task-content> # IDs we judged irrelevant; key on content hash so edits re-judge
running: TaskID | null # the one currently-running sub-agent, if any
watch_id: string # task id of the board watch
setup:
1. Validate args + preconditions.
2. Arm the board watch:
Monitor(command="bash ${CLAUDE_PLUGIN_ROOT}/skills/aio-kanban-monitor/scripts/kanban-monitor.sh 2>&1",
description="kanban board changes (<status> / <goal>)",
persistent=true)
Capture the returned task id as watch_id. `persistent` is required: this watch must
live as long as the session, and a timeout would end it mid-mission in silence.
`2>&1` routes the script's FATAL lines into the event stream where you can see them.
3. Tell the user: "Monitoring .kanban/board.md for tasks in <status> matching goal '<goal>'.
Send /cancel to stop."
loop (event-driven — the watch pushes to you; never poll it):
4. Each stdout line arrives on its own as a notification. The synthetic `start` line
fires the first pass; each later line is one "board changed" event.
On each → run a PARSE PASS (see below).
5. If a sub-agent is `running`, do NOT spawn another. Wait for it to finish
(Claude Code auto-notifies on background-agent completion). When it
completes, clear `running` and run another PARSE PASS immediately.
6. If the watch exits, its exit code is reported: 2 = board missing, 3 = fswatch
missing, other = unexpected. Surface it and stop — once the watch is gone no
events arrive, and that silence is indistinguishable from "no new tasks".
7. Continue indefinitely until the user cancels.
cleanup (when user cancels):
- Stop the board watch: TaskStop(watch_id).
- Print a summary: tasks dispatched this session, any still in Doing.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 192 lines · 108 tokens per session scan A 0262165f4186
aio-kanban-monitor is a skill published in the GitHub repository aiocean/claude-plugins (4 stars, last pushed 28d ago), licensed MIT. It adds 108 tokens to every session and 2,488 once invoked, about $0.0004 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 2026-09-03.
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