Elastic Docs Skills is a collection of Claude Code skills for creating and maintaining Elastic documentation. It is for developers and documentation contributors who use coding agents such as Claude Code, Cursor, or Codex. The catalogue entries are the project's reusable documentation workflows, agents, plugin, and instruction.
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 elastic/elastic-docs-skills --skill skill-reviewgit clone --depth 1 https://github.com/elastic/elastic-docs-skillsWrote 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/elastic/elastic-docs-skills/skill-review)<a href="https://agentmods.dev/skills/elastic/elastic-docs-skills/skill-review"><img src="https://agentmods.dev/badge/skills/elastic/elastic-docs-skills/skill-review/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/elastic/elastic-docs-skills/skill-review"><img src="https://agentmods.dev/badge/skills/elastic/elastic-docs-skills/skill-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00043 | $0.03299 |
| Opus 5 | $0.00022 | $0.01649 |
| Sonnet 5 | $0.00009 | $0.00660 |
| Haiku 4.5 | $0.00004 | $0.00330 |
Grade A, and why
docs-skill-review 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 5d 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 — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
Inputs
$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.mdfrom the resolved folder. If noSKILL.mdexists, stop and tell the user this is not a valid skill folder.
Phase 1: Parse the 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.
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.
- 5d ago Changed ea57430e79ef
- 9d ago First seen · 280 lines · 43 tokens per session scan A 754572f081d3
docs-skill-review is a skill published in the GitHub repository elastic/elastic-docs-skills (71 stars, last pushed 2d ago), licensed Apache-2.0. It adds 43 tokens to every session and 3,299 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.
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