quadrants

quadrants is a skill for Claude Code, Codex from wanikua/danghuangshang. It costs 88 tokens per session (953 once invoked), scanned A, original, MIT.

A task-management connection for Quadrants, an Eisenhower Matrix app that sorts work by urgency and importance. It lets an agent manage Quadrants projects and tasks through plain-language requests.

In plain words
What is it for?
Use it to list projects, find or search tasks, filter work by quadrant, create one or many tasks, view priorities, and complete tasks.
Why use it?
It removes the need to open the app or write API requests for routine task management.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to list projects, find or search tasks, filter work by quadrant, create one or many tasks, view priorities, and complete tasks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wanikua/danghuangshang/quadrants
About the project

danghuangshang is a multi-agent collaboration system that organizes specialized AI agents into a hierarchy modeled on historical Chinese government institutions. Users delegate tasks to these agents through platforms such as Discord or Feishu, with roles for coordination, coding, review, memory, and automation. Its catalogue entries are the project's agents and skills.

wanikua/danghuangshang · 2,701 stars · on GitHub · danghuangshang.com

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 wanikua/danghuangshang --skill quadrants
Clone the repo
git clone --depth 1 https://github.com/wanikua/danghuangshang

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 quadrants

README.md
[![agentmods](https://agentmods.dev/badge/skills/wanikua/danghuangshang/quadrants/github.svg)](https://agentmods.dev/skills/wanikua/danghuangshang/quadrants)
Your own site
<a href="https://agentmods.dev/skills/wanikua/danghuangshang/quadrants"><img src="https://agentmods.dev/badge/skills/wanikua/danghuangshang/quadrants/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 quadrants

Your own site · 80×15
<a href="https://agentmods.dev/skills/wanikua/danghuangshang/quadrants"><img src="https://agentmods.dev/badge/skills/wanikua/danghuangshang/quadrants.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 953 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 Data Exfiltration · line 21
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00088 $0.00953
Opus 5 $0.00044 $0.00477
Sonnet 5 $0.00018 $0.00191
Haiku 4.5 $0.00009 $0.00095

Measured 11d ago against content hash b8ed313d968c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

quadrants scanned grade A with 1 finding 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/quadrants-cli.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sL -X POST "https://quadrants.ch/api/service" \
skills/quadrants/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quadrants Skill

Manage tasks on the Quadrants Eisenhower Matrix (quadrants.ch) via OpenClaw.

API Access

All operations go through POST https://quadrants.ch/api/service with header X-API-Key.

Credentials should be configured via environment variables or openclaw.json:

  • QUADRANTS_API_KEY — Service API key
  • Default project: YOUR_PROJECT_ID

Direct API Calls (preferred over CLI)

curl -sL -X POST "https://quadrants.ch/api/service" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $QUADRANTS_API_KEY" \
  -d '{"action":"<ACTION>", ...params}'

Actions Reference

Action Required params Description
projects List all projects with task counts
tasks projectId List active tasks (sorted by priority)
priority Top priority tasks across all projects
quadrant projectId, quadrant (Q1/Q2/Q3/Q4) Filter tasks by quadrant
search query Search tasks by description
create projectId, description, urgency?, importance? Create one task
bulk-create projectId, tasks[] Create multiple tasks
complete taskId Archive/complete a task
update taskId, updates{} Update task fields
delete taskId Permanently delete a task
overview projectId Project stats + quadrant distribution
stats Global stats across all projects

Quadrant Mapping

Quadrant Urgency Importance Meaning
Q1 >50 >50 🔴 Do First — urgent + important
Q2 ≤50 >50 🟡 Schedule — important, not urgent
Q3 >50 ≤50 🟠 Delegate — urgent, not important
Q4 ≤50 ≤50 ⚪ Eliminate — neither

Natural Language → Action Mapping

User says Action Params
"加个任务:修bug" create description="修bug", urgency=80, importance=70
"今天做什么" / "priority" priority
"完成了 #412" complete taskId=412
"项目概览" overview projectId=default
"Q1任务" / "紧急重要" quadrant quadrant=Q1
"搜索 登录" search query="登录"
"看看项目" projects
"整体情况" stats

Read the full file on GitHub · 86 lines

Files

What ships with it

2 files 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.

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. 11d ago First seen · 86 lines · 88 tokens per session scan A b8ed313d968c

Subscribe to this mod's changes

quadrants is a skill published in the GitHub repository wanikua/danghuangshang (2,701 stars, last pushed 3mo ago), licensed MIT. It adds 88 tokens to every session and 953 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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