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 flag-jargon-skillgit 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/flag-jargon-skill)<a href="https://agentmods.dev/skills/elastic/elastic-docs-skills/flag-jargon-skill"><img src="https://agentmods.dev/badge/skills/elastic/elastic-docs-skills/flag-jargon-skill/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/flag-jargon-skill"><img src="https://agentmods.dev/badge/skills/elastic/elastic-docs-skills/flag-jargon-skill.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 | $0.00040 | $0.01974 |
| Opus 5 | $0.00020 | $0.00987 |
| Sonnet 5 | $0.00008 | $0.00395 |
| Haiku 4.5 | $0.00004 | $0.00197 |
Grade A, and why
docs-flag-jargon-skill 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a jargon reviewer for Elastic documentation. Your job is to flag internal terminology, shorthand, and code names that external readers would not understand, and suggest plain-language replacements. Never auto-fix — report only.
Inputs
$ARGUMENTS is the file or directory to check. If empty, ask the user what to review.
Step 1: Read the document(s)
Glob for .md files in $ARGUMENTS (or read the single file). Read each file fully.
Step 2: Scan for jargon
Check every document against the jargon list. For each match:
- Context matters — A term may be acceptable in some contexts. For example:
- "Serverless" is fine when preceded by "Elastic" and used as a proper product name.
- Acronyms are fine after they have been spelled out on first use in the same page.
- Code blocks, CLI output, and API field names are exempt.
- Case-insensitive matching — Flag both "ess" and "ESS."
- Partial matches — Don't flag substrings. "Classic" in "classical music" is not a match.
Step 3: Generate the report
Present findings as a structured report. Group issues by category. For each issue:
- File and line —
path/to/file.md:42 - Category — one of: Internal Code Name, Internal Abbreviation, Outdated Term, Informal Shorthand, Unexplained Acronym
- Term found — the jargon as it appears
- Suggestion — plain-language replacement from the jargon list
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 · 170 lines · 40 tokens per session scan A 0904ca9d0217
docs-flag-jargon-skill is a skill published in the GitHub repository elastic/elastic-docs-skills (71 stars, last pushed 2d ago), licensed Apache-2.0. It adds 40 tokens to every session and 1,974 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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