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.
npx skills add mYoCaRdiA/3Departments6Ministries-Windows-OpenClaw-MultiAgentOrchestrationSystem --skill kanban_updategit clone --depth 1 https://github.com/mYoCaRdiA/3Departments6Ministries-Windows-OpenClaw-MultiAgentOrchestrationSystemWrote 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/myocardia/3departments6ministries-windows-openclaw-multiagentorchestrationsystem/kanban_update)<a href="https://agentmods.dev/skills/myocardia/3departments6ministries-windows-openclaw-multiagentorchestrationsystem/kanban_update"><img src="https://agentmods.dev/badge/skills/myocardia/3departments6ministries-windows-openclaw-multiagentorchestrationsystem/kanban_update/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/myocardia/3departments6ministries-windows-openclaw-multiagentorchestrationsystem/kanban_update"><img src="https://agentmods.dev/badge/skills/myocardia/3departments6ministries-windows-openclaw-multiagentorchestrationsystem/kanban_update.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 | $0.00046 | $0.00557 |
| Opus 5 | $0.00023 | $0.00279 |
| Sonnet 5 | $0.00009 | $0.00111 |
| Haiku 4.5 | $0.00005 | $0.00056 |
Grade A, and why
kanban_update 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.
What it actually says
kanban_update — 看板任务操作
路径
- 看板脚本:
~/.openclaw/workspace/skills/edict-main/scripts/kanban_update.py - 任务数据:
~/.openclaw/workspace/skills/edict-main/data/tasks_source.json
读取任务
用 read 工具或 exec 读取 tasks_source.json，找到你的 task_id 对应的任务。
更新状态
python ~/.openclaw/workspace/skills/edict-main/scripts/kanban_update.py state <task_id> <new_state> "备注"
状态值: Taizi Zhongshu Menxia Assigned Doing Review Done Blocked
添加流转记录
python ~/.openclaw/workspace/skills/edict-main/scripts/kanban_update.py flow <task_id> "来源部门" "目标部门" "remark"
完成任务
python ~/.openclaw/workspace/skills/edict-main/scripts/kanban_update.py done <task_id> "输出路径" "摘要"
子任务管理
python ~/.openclaw/workspace/skills/edict-main/scripts/kanban_update.py todo <task_id> <todo_id> "标题" <status>
status: not-started | in-progress | completed
实时进展汇报（频率不限，越频繁越好）
python ~/.openclaw/workspace/skills/edict-main/scripts/kanban_update.py progress <task_id> "进展描述" "子任务1|子任务2"
状态流转
皇上 → 太子(Taizi) → 中书省(Zhongshu) → 门下省(Menxia) → 尚书省(Assigned) → 六部(Doing) → 审查(Review) → 完成(Done)
⚠️ 规则
- 收到派发消息后，先读 tasks_source.json 查看任务详情
- 不要重复创建已有的任务
- 每完成重要步骤用
progress上报 - 状态变更用
state更新看板 - 完成用
done标记
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.
- 12d ago First seen · 64 lines · 46 tokens per session scan A f35c5e323062
kanban_update is a skill published in the GitHub repository mYoCaRdiA/3Departments6Ministries-Windows-OpenClaw-MultiAgentOrchestrationSystem (20 stars, last pushed 5mo ago), licensed MIT. It adds 46 tokens to every session and 557 once invoked, about $0.0002 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.
Other skills, from other repositories
recipe-create-meet-space
Create a Google Meet meeting space and share the join link.
atmos-config
Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.
workthreads
SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…
story-readiness
Validate that a story file is implementation-ready. Checks for embedded GDD requirements, ADR references, engine notes, clear acceptance criteria, and no open design questions. Produces READY / NEEDS WORK / BLOCKED verdict with specific gaps. Use when user says 'is this story ready', 'can I start on this story', 'is…
projects
List all managed projects with status, branch, open PRs, and open issue counts — portfolio-level view.
magpie-security-issue-import-from-md
Open one or more tracking issues from a markdown file containing a batch of security findings. Each finding becomes one tracker landing in the Needs triage board column. The file itself is the full report — there is no inbound reporter to reply to and no PR to inspect.