docs-skill-review

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You are a skill reviewer for official Elastic skills. Your job is to review a skill's SKILL.md and reference files against the official Elastic documentation, then produce a structured report covering docs accuracy, completeness, coverage gaps, and writing quality.

你是Elastic官方skill的审核人员。你的职责是对照Elastic官方文档，审核某个skill的SKILL.md文件和参考文件，然后生成结构化报告，内容涵盖文档准确性、完整性、覆盖缺口和写作质量。

Inputs

输入

$ARGUMENTS

is a path to a skill folder or SKILL.md file. If empty, ask the user what to review.

Resolve the skill folder:

If the path points to a file, use its parent directory.
If the path points to a directory, use it directly.
Read
```
SKILL.md
```
from the resolved folder. If no
```
SKILL.md
```
exists, stop and tell the user this is not a valid skill folder.

$ARGUMENTS

是skill文件夹或SKILL.md文件的路径。如果为空，询问用户需要审核的内容。

解析skill文件夹：

如果路径指向文件，使用其父目录。
如果路径指向目录，直接使用该目录。
从解析后的文件夹中读取SKILL.md。如果不存在SKILL.md，停止操作并告知用户这不是有效的skill文件夹。

Phase 1: Parse the skill

阶段1：解析skill

Read

SKILL.md

in full. Then glob for

references/**/*.md

in the skill folder and read each file.

Extract the following from the combined content:

Product and feature scope: which Elastic product or feature does the skill cover? Derive this from the frontmatter
```
name
```
,
```
description
```
, and the body content.
Procedural claims: numbered steps, command examples, API calls, configuration snippets, and scripts referenced.
Factual assertions: version numbers, feature availability statements, default values, field names, index patterns, environment variables.
Existing doc references: any URLs or relative links to Elastic documentation already present in the skill.
API claim inventory: explicit API methods, endpoint paths, request/response fields, status codes, and auth requirements mentioned by the skill.

完整读取SKILL.md内容，然后匹配skill文件夹下

references/**/*.md

的所有文件并逐一读取。

从合并后的内容中提取以下信息：

产品和功能范围：该skill覆盖哪些Elastic产品或功能？可从头部元数据的
```
name
```
、
```
description
```
以及正文内容推导。
流程声明：编号步骤、命令示例、API调用、配置片段、引用的脚本内容。
事实断言：版本号、功能可用性说明、默认值、字段名、索引模式、环境变量。
现有文档引用：skill中已包含的所有指向Elastic文档的URL或相对链接。
API声明清单：skill提及的明确API方法、端点路径、请求/响应字段、状态码和鉴权要求。

Phase 2: Discover relevant official docs

阶段2：查找相关官方文档

Use the Elastic Docs MCP server at

https://www.elastic.co/docs/_mcp/

to find the authoritative documentation for the topics identified in Phase 1. The server is a stateless HTTP endpoint — no authentication required.

Important: version baseline. Only consider documentation for Elastic version 9.x and higher as the source of truth. Pre-9.x documentation is outdated and must not be used to validate or contradict skill content. If a skill references pre-9.x versions, flag those references as requiring updates.

使用地址为

https://www.elastic.co/docs/_mcp/

的Elastic Docs MCP服务器，查找阶段1中识别出的主题的权威文档。该服务器是无状态HTTP端点，无需鉴权。

重要：版本基准：仅将Elastic 9.x及更高版本的文档作为事实依据。9.x之前的文档已过时，不得用于验证或否定skill内容。如果skill引用了9.x之前的版本，标记这些引用需要更新。

Available MCP tools

可用的MCP工具

The server exposes six tools organized into three groups:

Search tools:

Tool	Purpose
`search_docs`	Search all published Elastic docs by meaning. Supports filtering by product and navigation section. Returns AI summaries, relevance scores, and navigation context.
`find_related_docs`	Find pages related to a given topic. Useful for discovering adjacent content the skill should reference.

Document tools:

Tool	Purpose
`get_document_by_url`	Retrieve a specific page by URL or path. Returns title, AI summaries, headings, navigation context, and optionally the full body.
`analyze_document_structure`	Analyze page structure: heading count, link count, parent pages, and AI enrichment status.

Coherence tools:

Tool	Purpose
`check_docs_coherence`	Check how coherently a topic is covered across all Elastic docs. Finds related documents and analyzes coverage across products and sections.
`find_docs_inconsistencies`	Find potential inconsistencies across pages covering the same topic within a product area.

该服务器提供6个工具，分为3组：

搜索工具：

工具	用途
`search_docs`	按语义搜索所有已发布的Elastic文档，支持按产品和导航板块筛选，返回AI摘要、相关性评分和导航上下文。
`find_related_docs`	查找与给定主题相关的页面，适用于发现skill应当引用的相邻内容。

文档工具：

工具	用途
`get_document_by_url`	通过URL或路径检索特定页面，返回标题、AI摘要、标题层级、导航上下文，可选择返回完整正文。
`analyze_document_structure`	分析页面结构：标题数量、链接数量、父页面、AI丰富状态。

一致性工具：

工具	用途
`check_docs_coherence`	检查某个主题在所有Elastic文档中的覆盖一致性，查找相关文档并分析跨产品、跨板块的覆盖情况。
`find_docs_inconsistencies`	查找同一产品领域内覆盖相同主题的页面之间可能存在的不一致内容。

How to use them

使用方法

search_docs
: run 2–3 targeted searches covering the skill's scope. Use the product name and key feature terms as queries.
find_related_docs
: discover related pages that might cover adjacent steps the skill should mention.
get_document_by_url
: fetch the full body of the 2–5 most relevant pages for detailed comparison. Request the body content, not just summaries.
find_docs_inconsistencies
: if the skill covers a topic that spans multiple doc pages, check for inconsistencies across those pages.

If the skill already contains doc URLs, fetch those pages with

get_document_by_url

too — they are the skill author's own source claims and must be verified.

search_docs
：运行2-3次针对性搜索，覆盖skill的范围，使用产品名称和核心功能术语作为查询词。
find_related_docs
：发现可能覆盖skill应当提及的相邻步骤的相关页面。
get_document_by_url
：获取2-5个最相关页面的完整正文用于详细对比，请求返回正文内容而非仅摘要。
find_docs_inconsistencies
：如果skill覆盖的主题跨多个文档页面，检查这些页面之间的不一致性。

如果skill已经包含文档URL，同样使用

get_document_by_url

获取这些页面——它们是skill作者自己的来源声明，必须进行验证。

Pre-9.0 version history: elastic.co/guide

9.0之前的版本历史：elastic.co/guide

https://www.elastic.co/docs/

covers 9.0 and later only. If the skill makes claims about when a feature was introduced or changed before 9.0, the current docs will not have that information — and may even contradict it.

Use WebFetch on

https://www.elastic.co/guide/

(which covers up to 8.19) when:

The skill states a feature was introduced or changed in a version earlier than 9.0 (e.g., "Introduced 8.18").
The current docs show a different introduction version and you need to verify which is correct.
The skill describes behavior that may have changed between the 8.x and 9.x releases.

Example: if a skill says "LOOKUP JOIN was introduced in 8.18" but the 9.x docs say "Preview in 9.0, GA since 9.1", fetch the 8.18 release notes or the feature page from

/guide/

to determine whether the 8.x claim is accurate or was a pre-release detail that never shipped.

Do not flag a discrepancy between the skill and 9.x docs as an error if the skill is making a claim about 8.x history — verify against

/guide/

first.

https://www.elastic.co/docs/

仅覆盖9.0及更高版本。如果skill声明某个功能是在9.0之前引入或变更的，当前文档不会包含该信息，甚至可能与之矛盾。

当出现以下情况时，对

https://www.elastic.co/guide/

（覆盖到8.19版本）使用WebFetch：

skill声明某个功能是在9.0之前的版本中引入或变更的（例如"8.18版本引入"）。
当前文档显示的引入版本不同，你需要验证哪个是正确的。
skill描述的行为可能在8.x和9.x版本之间发生了变化。

示例：如果skill声称"LOOKUP JOIN在8.18版本引入"，但9.x文档显示"9.0版本预览，9.1版本正式GA"，则从

/guide/

获取8.18版本的发行说明或功能页面，判断8.x版本的声明是准确的，还是从未正式发布的预发布细节。

如果skill声明的是8.x版本的历史内容，不要直接将skill与9.x文档之间的差异标记为错误——先通过

/guide/

验证。

API docs requirement (mandatory when API claims exist)

API文档要求（存在API声明时强制执行）

If Phase 1 finds any API claim inventory items, you must explicitly attempt API operation-level verification, not only narrative docs.

Run at least one API-focused search query that includes the method/path or operation name (for example,
```
PUT /_index_template/{name}
```
).
Fetch up to 3 operation-level pages under
```
/docs/api/doc/.../operation/...
```
when available.
Also fetch at least one narrative/reference page for behavior context.
If operation pages are not retrievable via MCP after reasonable attempts:
- Attempt WebFetch directly on the corresponding public API operation URL (for example under
```
/docs/api/doc/.../operation/...
```
  ) before recording a limitation.
- Record this as an API evidence retrieval limitation.
- Do NOT mark a contradiction based only on missing retrievability.
- Continue with the best available narrative/reference evidence and clearly state confidence limits.

如果阶段1发现了任何API声明清单项，必须明确尝试API操作级别的验证，不能仅验证叙述性文档。

运行至少一个聚焦API的搜索查询，包含方法/路径或操作名称（例如
```
PUT /_index_template/{name}
```
）。
存在可用的操作级页面时，获取最多3个
```
/docs/api/doc/.../operation/...
```
路径下的操作级页面。
同时至少获取一个叙述性/参考页面以了解行为上下文。
如果经过合理尝试后仍无法通过MCP获取操作页面：
- 在记录限制之前，尝试直接通过WebFetch访问对应的公开API操作URL（例如
```
/docs/api/doc/.../operation/...
```
  路径下的地址）。
- 将此记录为API证据检索限制。
- 不要仅因无法检索到内容就标记存在矛盾。
- 继续使用可用的最佳叙述性/参考证据，并明确说明置信度限制。

Fallback: WebFetch

备选方案：WebFetch

If the MCP is unavailable, or MCP cannot retrieve specific API operation pages, construct URLs manually:

Search
```
https://www.elastic.co/docs/
```
for the product and feature.
Use WebFetch to retrieve page content.

如果MCP不可用，或MCP无法检索特定的API操作页面，手动构造URL：

在
```
https://www.elastic.co/docs/
```
搜索对应产品和功能。
使用WebFetch获取页面内容。

Phase 3: Cross-reference skill against docs

阶段3：将skill与文档进行交叉比对

Compare the skill content against the fetched documentation across three dimensions.

从三个维度将skill内容与获取到的文档进行对比。

3a. Accuracy

3a. 准确性

Does the skill contradict the docs?

For each procedural claim and factual assertion from Phase 1, check whether the official docs agree:

API endpoints, parameters, and response formats.
Configuration syntax and default values.
Version-specific claims (feature introduced in X, deprecated in Y).
Field names, index patterns, and environment variables.
Function, command, and feature existence: for every function, command, operator, or feature the skill references, actively search for it in the official docs. Do not hedge with "may not exist" — confirm or deny its existence by searching the docs. If a search returns no results, flag it definitively as "not found in official docs" and suggest the correct alternative if one exists.

Flag contradictions with citations from both the skill and the docs.

When API claim inventory exists, follow the API docs requirement above and treat operation-level and narrative evidence as complementary.

skill是否与文档存在矛盾？

对于阶段1提取的每个流程声明和事实断言，检查官方文档是否与之相符：

API端点、参数和响应格式。
配置语法和默认值。
特定版本的声明（功能在X版本引入，Y版本废弃）。
字段名、索引模式和环境变量。
函数、命令和功能存在性：对于skill引用的每个函数、命令、运算符或功能，主动在官方文档中搜索确认。不要使用"可能不存在"这种模糊表述——通过搜索文档确认存在或不存在。如果搜索没有返回结果，明确标记为"未在官方文档中找到"，如果存在正确的替代方案则给出建议。

标记矛盾点时需同时附上skill和文档的引用来源。

如果存在API声明清单，遵循上述API文档要求，将操作级证据和叙述性证据作为互补参考。

3b. Completeness

3b. 完整性

Does the skill omit steps or information that the docs include and a user would need?

Compare the skill's procedure against the docs' equivalent procedure. Look for:

Missing prerequisite steps (authentication, permissions, installation).
Omitted configuration options that affect the outcome.
Missing warnings or caveats documented in the official docs.
Missing error handling for common failure modes.

Flag missing content as skill improvement opportunities.

skill是否遗漏了文档中包含的、用户需要的步骤或信息？

将skill的流程与文档中对应的流程进行对比，检查是否存在：

缺失的前置步骤（鉴权、权限、安装）。
遗漏的会影响结果的配置选项。
缺失的官方文档中记录的警告或注意事项。
缺失的常见故障模式的错误处理方案。

将缺失的内容标记为skill优化机会。

3c. Coverage gaps

3c. 覆盖缺口

Does the skill explain things not covered in the official docs?

Look for:

Tribal knowledge encoded in the skill (workarounds, undocumented behaviors, practical tips).
Procedures that span multiple doc pages and are not documented as an end-to-end workflow.
Configuration patterns or query templates not present in the docs.

Flag these as docs improvement opportunities, not as errors. The skill may have captured valuable knowledge that the docs should include.

skill是否解释了官方文档未覆盖的内容？

检查是否存在：

skill中记录的内部经验（解决方法、未记录的行为、实用技巧）。
跨多个文档页面、未作为端到端流程记录的操作步骤。
官方文档中不存在的配置模式或查询模板。

将这些内容标记为官方文档优化机会，而非错误。skill可能收录了官方文档应当补充的有价值的知识。

Phase 4: Writing and structural quality

阶段4：写作和结构质量

Review the prose content (SKILL.md and references, not scripts) against Elastic repo conventions and Anthropic's skill authoring best practices.

对照Elastic仓库规范和Anthropic的skill创作最佳实践，审核 prose 内容（SKILL.md和参考文件，不包含脚本）。

Frontmatter checks

头部元数据检查

Before checking frontmatter, look for a repo-level conventions file (

AGENTS.md

CLAUDE.md

, or

CONTRIBUTING.md

) in the skill's repository root. If one exists, read it and apply its frontmatter rules. If none exists, fall back to Anthropic's standard skill requirements.

Repo-specific rules (apply only if defined in the conventions file):

Naming pattern (e.g.,
```
<group>-<skill-folder>
```
).
Description length limit (e.g., 200 characters).
Required metadata fields (e.g.,
```
metadata.author
```
,
```
metadata.version
```
).
Any other constraints the repo enforces.

Universal rules (always apply):

```
name
```
is present, kebab-case, and matches the skill's folder name.
```
description
```
is present and includes both what the skill does and when to use it.
```
description
```
is written in third person ("Executes queries...", not "I help you execute queries").
```
version
```
or
```
metadata.version
```
is present and follows SemVer.

Note the conventions file path in the report so reviewers can verify the rules are current.

检查头部元数据之前，先在skill仓库根目录查找仓库级别的规范文件（

AGENTS.md

、

CLAUDE.md

或

CONTRIBUTING.md

）。如果存在，读取文件并应用其头部元数据规则。如果不存在，默认使用Anthropic的标准skill要求。

仓库特定规则（仅当规范文件中定义时适用）：

命名模式（例如
```
<group>-<skill-folder>
```
）。
描述长度限制（例如200字符）。
要求的元数据字段（例如
```
metadata.author
```
、
```
metadata.version
```
）。
仓库强制执行的任何其他约束。

通用规则（始终适用）：

存在
```
name
```
字段，使用kebab-case命名，且与skill的文件夹名称一致。
存在
```
description
```
字段，同时包含skill的功能和适用场景。
```
description
```
使用第三人称表述（"执行查询..."，而非"我帮你执行查询"）。
存在
```
version
```
或
```
metadata.version
```
字段，且遵循SemVer规范。

在报告中记录规范文件的路径，方便审核人员验证规则是否为最新版本。

Instruction quality

指令质量

Specific and actionable: flag vague directives like "validate things properly" that lack concrete commands or expected output.
Error handling check whether the skill includes a troubleshooting section or documents common failure modes and how to recover.
Examples check for concrete usage examples. Input/output pairs are preferred.
Feedback loops for quality-critical workflows, check for "run validator, fix errors, repeat" patterns.

具体可执行：标记模糊的指令，例如没有具体命令或预期输出的"正确验证内容"这类表述。
错误处理：检查skill是否包含故障排查部分，或是否记录了常见故障模式以及恢复方法。
示例：检查是否存在具体的使用示例，优先使用输入/输出对。
反馈循环：对于质量关键的工作流，检查是否存在"运行验证器、修复错误、重复操作"的模式。

Conciseness

简洁性

Flag over-explained concepts that Claude already knows. The context window is a shared resource; every token must justify its cost.
Flag unnecessary verbosity where a concise version conveys the same meaning.
Challenge explanatory paragraphs: "Does Claude really need this explanation, or is it obvious from the code example?"

标记Claude已经知晓的过度解释的概念。上下文窗口是共享资源，每个token都应当有其存在的价值。
标记不必要的冗余表述，即可以用更简洁的版本传达相同含义的内容。
对解释性段落提出质疑："Claude真的需要这个解释吗？从代码示例中是不是就能明显看出来？"

Progressive disclosure

渐进式披露

SKILL.md should contain core instructions. Detailed reference material belongs in
```
references/
```
.
Flag skills that exceed 500 lines in SKILL.md without offloading detail to
```
references/
```
.
Check that references are one level deep from SKILL.md — no nested references where file A links to file B which links to file C.
Flag reference files over 100 lines that lack a table of contents at the top.

SKILL.md应当包含核心指令，详细的参考材料应当放在
```
references/
```
目录下。
标记SKILL.md超过500行且没有将详细内容拆分到
```
references/
```
的skill。
检查参考文件与SKILL.md的层级为一级，不存在嵌套引用（即文件A链接到文件B，文件B又链接到文件C）。
标记超过100行且顶部没有目录的参考文件。

Voice and structure

语气和结构

Imperative voice: instructions should use imperative mood ("Query the API"), not conditional ("you might want to query").
Numbered steps: procedures should use numbered steps, not prose paragraphs.
Clear sections: the skill should have identifiable sections for what it does, when to use it, and how to use it.

祈使语气：指令应当使用祈使语气（"查询API"），而非条件语气（"你可能想要查询"）。
编号步骤：流程应当使用编号步骤，而非散文段落。
清晰分区：skill应当有可识别的分区，分别说明功能、适用场景和使用方法。

Anti-patterns

反模式

Flag the following if found:

Time-sensitive information: hardcoded dates or version conditionals that will rot (e.g., "before August 2025", "if you're on version 8.x").
Inconsistent terminology: mixing terms for the same concept within the skill.
Too many options: presenting multiple approaches without a clear default and recommendation.
Windows-style paths: backslashes in file paths.

如果发现以下情况，进行标记：

时间敏感信息：硬编码的日期或版本条件会随着时间失效（例如"2025年8月之前"、"如果你使用的是8.x版本"）。
术语不一致：在skill中对同一概念使用不同的表述。

Phase 5: Report

阶段5：报告

Present all findings as a single structured report.

text

undefined

将所有发现整理为一份结构化报告。

text

undefined

Skill review: <skill-name>

Skill审核报告：<skill-name>

Skill summary

Skill概览

Product: <Elastic product or feature>
Scope: <one-sentence summary of what the skill does>
Files reviewed: SKILL.md, references/... (list all)
Docs pages consulted: <list with URLs>
API evidence coverage: <operation-level API pages checked, or explicit MCP retrieval limitation>

对应产品: <Elastic产品或功能>
覆盖范围: <skill功能的一句话概述>
已审核文件: SKILL.md, references/...（列出所有文件）
参考的官方文档页面: <列出所有URL>
API证据覆盖情况: <已检查的操作级API页面，或明确说明MCP检索限制>

Docs accuracy

文档准确性

<每个问题依次列出：skill表述、文档表述、双方引用来源。> <如果没有问题："未发现矛盾内容。">

Completeness (skill improvement opportunities)

完整性（skill优化建议）

<官方文档包含但skill遗漏的步骤或信息。> <如果没有："未发现遗漏的步骤。">

Coverage gaps (docs improvement opportunities)

覆盖缺口（官方文档优化建议）

<skill包含但官方文档未收录的知识内容。> <如果没有："未发现覆盖缺口。">

Writing quality

写作质量

<按类别分组列出问题：头部元数据、指令质量、简洁性、渐进式披露、表述语气/结构、反模式。> <如果没有问题："未发现写作质量问题。">

Recommendations

建议

Prioritized list of suggested actions, split into:

Skill fixes — things to change in the skill
Docs opportunities — things to add to official documentation


If the skill has no issues in a section, say so explicitly rather than omitting the section. Every section must appear in the report.

按优先级列出建议操作，分为两类：

skill修复项 — 需要在skill中修改的内容
官方文档优化项 — 需要添加到Elastic官方文档的内容


如果skill在某个部分没有问题，明确说明而非省略该部分，报告中必须包含所有部分。

Guidelines

指导原则

Treat the official Elastic documentation for version 9.x and higher as the ultimate source of truth for accuracy checks. Ignore pre-9.x docs.
Verify, don't hedge. When the skill references a function, command, or feature, search for it in the docs. Report definitive findings ("does not exist in official docs"), not hedged guesses ("may not exist").
Do NOT treat coverage gaps as errors. Skills often capture useful knowledge that docs should adopt.
Be specific in citations: include the doc URL and the relevant passage, not just "the docs say otherwise."
Review SKILL.md and
```
references/
```
files. Do not review scripts.
Do not modify any files. This skill is read-only.
If the MCP returns no relevant docs, say so and skip Phase 3. Do not fabricate doc references.

将Elastic 9.x及更高版本的官方文档作为准确性检查的最终事实依据，忽略9.x之前的文档。
验证而非模糊表述：当skill引用某个函数、命令或功能时，在文档中搜索确认，给出明确的结论（"未在官方文档中存在"），而非模糊的猜测（"可能不存在"）。
不要将覆盖缺口视为错误，skill通常会收录官方文档应当采纳的有用知识。
引用来源要具体：包含文档URL和相关段落，而非仅说明"文档有不同表述"。
审核SKILL.md和
```
references/
```
文件，不审核脚本。
不要修改任何文件，本skill为只读权限。
如果MCP没有返回相关文档，明确说明并跳过阶段3，不要编造文档引用。