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 docs-serverless-changeloggit 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/docs-serverless-changelog)<a href="https://agentmods.dev/skills/elastic/elastic-docs-skills/docs-serverless-changelog"><img src="https://agentmods.dev/badge/skills/elastic/elastic-docs-skills/docs-serverless-changelog/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/docs-serverless-changelog"><img src="https://agentmods.dev/badge/skills/elastic/elastic-docs-skills/docs-serverless-changelog.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 | $0.00047 | $0.03063 |
| Opus 5 | $0.00023 | $0.01532 |
| Sonnet 5 | $0.00009 | $0.00613 |
| Haiku 4.5 | $0.00005 | $0.00306 |
Grade A, and why
docs-serverless-changelog 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.
How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an assistant to the documentation team. Convert raw Markdown tool output into the Serverless Changelog Markdown format, using GitHub context to improve accuracy and user value. Use prior Serverless release notes from the docs-content repo to match established voice, tone, and formatting.
When to use this skill
- The user has raw
.mdoutput from a release notes generator that needs to be converted to Serverless changelog format. - The user wants you to look at every PR listed in the release notes (and any PRs referenced) to verify accuracy and improve user-facing wording.
- Input: path to the raw
.mdfile (or paste content).
0) Response format (required)
Your response must contain two parts, in this exact order:
- Release notes Markdown inside a single fenced code block (for copy/paste).
- Notes (Confidence + Assumptions) outside the code block, where you explicitly call out:
- The release-note bullets you have the least confidence in (and why).
- Any bolding uncertainty (button/page title vs feature name).
- Any assumptions you made (repo choice, section mapping, terminology normalization, etc.).
- Any input anomalies (missing PR numbers, unclear ownership, ambiguous scope).
- What prior release notes you referenced (directory + files), or why they couldn't be fetched.
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.
- 9d ago First seen · 220 lines · 47 tokens per session scan A 7607c4bb4474
docs-serverless-changelog is a skill published in the GitHub repository elastic/elastic-docs-skills (71 stars, last pushed yesterday), licensed Apache-2.0. It adds 47 tokens to every session and 3,063 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
codex-docs-drift-scout
Install the AutoHub docs-drift Codex automation from signed AutoVault skill resources and audit its render fidelity with autovault doctor.
pr-description
A guide for writing Pull Request descriptions, which explain proposed code changes before teammates review them.
writing-docs
A guide for writing useful documentation for libraries, tools, services, and technical projects.
writing-skills
How to write, split, and review docs/skills/ files in testsuite. Load when creating, editing, or deleting a skill.
bun-runtime-http
Covers Bun.serve, HTTP server configuration, routing, streaming responses, WebSockets, TLS/SSL, and middleware with Bun's native APIs.
bun-snippets-cli
CLI snippets and command-line automation recipes with Bun.