skill-domain-health-check

skill-domain-health-check is a skill for Claude Code, Codex from TashanGKD/tashan-cursor-skills. It costs 139 tokens per session (2,187 once invoked), scanned A, original, MIT.

A health-check workflow for examining whether a Skill domain has complete, connected task paths. It verifies that nodes exist, their inputs and outputs fit together, and each path can reach an end state.

In plain words
What is it for?
Use it to audit one or more domains of a Skill system and produce a report on node coverage, contracts, and end-to-end reachability.
Why use it?
It reveals missing Skills, broken handoffs, unclear output locations, and dead ends that can leave a task unfinished.

Skill for Claude CodeCodex

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

Good fit Use it to audit one or more domains of a Skill system and produce a report on node coverage, contracts, and end-to-end reachability.

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Install with agentmods
npx agentmods add skills/tashangkd/tashan-cursor-skills/skill-domain-health-check
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 TashanGKD/tashan-cursor-skills --skill skill-domain-health-check
Clone the repo
git clone --depth 1 https://github.com/TashanGKD/tashan-cursor-skills

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 skill-domain-health-check

README.md
[![agentmods](https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/skill-domain-health-check/github.svg)](https://agentmods.dev/skills/tashangkd/tashan-cursor-skills/skill-domain-health-check)
Your own site
<a href="https://agentmods.dev/skills/tashangkd/tashan-cursor-skills/skill-domain-health-check"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/skill-domain-health-check/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 skill-domain-health-check

Your own site · 80×15
<a href="https://agentmods.dev/skills/tashangkd/tashan-cursor-skills/skill-domain-health-check"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-cursor-skills/skill-domain-health-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 139 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,187 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 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 $0.00139 $0.02187
Opus 5 $0.00069 $0.01094
Sonnet 5 $0.00028 $0.00437
Haiku 4.5 $0.00014 $0.00219

Measured 9d ago against content hash 1e47599f4481, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

skill-domain-health-check 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 9d 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.

skills/skill-domain-health-check/SKILL.md · 190 lines

How it starts

The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.

域健康检查(skill-domain-health-check)

关系类型:depends-on(依赖 DOMAIN-REGISTRY.md + NODE-IO-CONTRACTS.md) 强绑定 Rule:R2 NO_FABRICATION / R3 READ_FIRST / R6 ARTIFACT_FIRST


检查目标

对指定域(或全部5个域)执行传播完备性验证:

  1. 节点完整性:DOMAIN-REGISTRY 中的所有节点对应的 Skill 文件真实存在
  2. I/O 契约满足:NODE-IO-CONTRACTS 中每个节点的输入条件是否可被满足,输出产物是否有明确路径
  3. 传播完备性:从任意入口节点出发,是否至少有一条路径能到达终态节点
  4. 域内文档自洽:域内产生的核心文档(产品定义/技术架构等)之间是否互相引用一致

激活后立即执行

Step 1  确认检查范围
        询问(如果用户未指定):
        「请指定要检查的域:
          (1) 产品开发  (2) 认知结构  (3) 公司运营  (4) 内容宣传  (5) Skill体系  (6) 全部」
        
        确认后继续 Step 2。

Step 2  读取形式化描述(R3 READ_FIRST)
        用 explore 子智能体并行读取:
        - _内部总控/skill-system-design/DOMAIN-REGISTRY.md(必读)
        - _内部总控/skill-system-design/NODE-IO-CONTRACTS.md(必读)
        - 目标域对应的沙盘文件目录(_内部总控/skill-system-design/sandboxes/[域名]/)
        
        若任一必读文件不存在:
        → 停止执行,告知用户「形式化描述文档缺失,无法执行域健康检查」
        → 建议先运行 DOMAIN-REGISTRY 和 NODE-IO-CONTRACTS 初始化

Step 3  检查一:节点完整性
        对 DOMAIN-REGISTRY 中指定域的每个节点:
        
        → 读取节点对应的 Skill 路径(通常为 .cursor/skills/[skill-name]/SKILL.md)
        → 验证文件是否真实存在(用 Glob 或 ls 确认)
        
        记录:
        - ✅ 节点存在:[节点ID] → [Skill路径]
        - ❌ 节点缺失:[节点ID] → Skill文件不存在(Gap类型:缺节点)

Step 4  检查二:I/O 契约满足度
        对 NODE-IO-CONTRACTS 中指定域的每个节点契约:
        
        【输入侧检查】
        → 该节点的「必需上游文档」路径是否在系统中有可能被创建?
        → 该节点的「必需上下文」是否有明确的创建机制?
        
        【输出侧检查】
        → 该节点的「主产物」文件路径是否明确(非「内联输出」类)?
        → 若为「内联输出」:是否有说明「什么时候保存为文件」?
        
        记录:
        - ✅ I/O清晰
        - ⚠️ I/O模糊:[具体模糊点](Gap类型:I/O不匹配)

Step 5  检查三:传播完备性(核心检查)
        以「图可达性」思维方式执行:
        
        对指定域的每个入口节点:
        → 从该节点出发,沿 DOMAIN-REGISTRY 中的触发边前进
        → 判断:是否至少有一条路径能到达该域的至少一个终态节点
        → 记录路径:[入口节点] → [中间节点...] → [终态节点]
        
        如果某入口节点无法到达任何终态节点:
        → 记录为传播不完备 Gap(Gap类型:传播断裂)
        → 标注断裂点(哪条边缺失或哪个节点有缺陷)
        
        如果某中间节点对所有其出边的触发条件都无法满足:
        → 记录为「死胡同节点」(Gap类型:触发条件不可达)

Step 6  检查四:沙盘 Gap 汇总
        读取该域所有沙盘文件(sandboxes/[域名]/*.md):
        → 统计 status = "gap-found" 的沙盘数量
        → 提取所有 Gap 条目(「Gap发现」表格中有Gap的行)
        → 按类型分类(缺节点/缺触发/I-O不匹配/文档不自洽)
        → 统计各类型数量
        
        沙盘 Gap 是已有证据的直接来源,权重高于推断。

Step 7  输出域健康报告(R6:必须写文件)
        写入:_内部总控/skill-system-design/domain-health-[域名]-YYYYMMDD.md
        
        格式(见下方「报告格式」)
        
        同时在对话中输出摘要(1-3句话总结)

Step 8  路由后续动作
        P0 问题(缺节点 / 传播完全断裂):
        → 立即告知用户,建议优先触发 skill-domain-self-optimizer
        
        P1 问题(I/O模糊 / 沙盘有Gap未修复):
        → 追加到域优化队列,建议下次触发 skill-domain-self-optimizer
        
        P2 优化项:
        → 记录在报告中,不主动路由

Read the full file on GitHub · 190 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. 9d ago First seen · 190 lines · 139 tokens per session scan A 1e47599f4481

Subscribe to this mod's changes

skill-domain-health-check is a skill published in the GitHub repository TashanGKD/tashan-cursor-skills (20 stars, last pushed 5mo ago), licensed MIT. It adds 139 tokens to every session and 2,187 once invoked, about $0.0007 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 2026-09-03.

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