Clickhouse Logs Queries
supabase/supabase
Write, review, and migrate Supabase logs queries against the ClickHouse-backed logs table (the logs.all.otel analytics endpoint).
A skill your agent uses when working on benchmark telemetry ingest, metrics-server run lifecycle, OTLP collection, SQLite storage, benchmark report export, or separating telemetry/reporting…
Install Metrics Server
$ npx skills add Mesh-LLM/mesh-llm --skill metrics-server -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Mesh-LLM/mesh-llm metrics-server --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Mesh-LLM/mesh-llm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/metrics-server .claude/skills/metrics-server && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "metrics-server" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/metrics-server into .claude/skills/metrics-server/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics-server", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/metrics-serverType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Mesh-LLM/mesh-llm --skill metrics-server -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Mesh-LLM/mesh-llm metrics-server --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mesh-LLM/mesh-llm.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/metrics-server .agents/skills/metrics-server && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "metrics-server" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/metrics-server into .agents/skills/metrics-server/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics-server", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Mesh-LLM/mesh-llm --skill metrics-server -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Mesh-LLM/mesh-llm metrics-server --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mesh-LLM/mesh-llm.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/metrics-server .cursor/skills/metrics-server && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "metrics-server" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/metrics-server into .cursor/skills/metrics-server/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics-server", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Mesh-LLM/mesh-llm.git --path .agents/skills/metrics-server--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Mesh-LLM/mesh-llm --skill metrics-server -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Mesh-LLM/mesh-llm metrics-server --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mesh-LLM/mesh-llm.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/metrics-server .gemini/skills/metrics-server && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "metrics-server" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/metrics-server into .gemini/skills/metrics-server/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics-server", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Mesh-LLM/mesh-llm metrics-serverInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Mesh-LLM/mesh-llm --skill metrics-server -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Mesh-LLM/mesh-llm.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/metrics-server .github/skills/metrics-server && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "metrics-server" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/metrics-server into .github/skills/metrics-server/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics-server", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Mesh-LLM/mesh-llm --skill metrics-server -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Mesh-LLM/mesh-llm metrics-server --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Mesh-LLM/mesh-llm.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/metrics-server .opencode/skills/metrics-server && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "metrics-server" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/metrics-server into .opencode/skills/metrics-server/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "metrics-server", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
metrics-server- GitHub stars
- 3.5k
- Token cost
- ~281 tokens
- SKILL.md length
- 79 words
- Files
- 1
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when working on benchmark telemetry ingest, metrics-server run lifecycle, OTLP collection, SQLite storage, benchmark report export, or separating telemetry/reporting…
- Working on benchmark telemetry ingest
- SKILL.md covers Commands and Workflow
- Calls cargo
- Metrics-server run lifecycle
What it does
Metrics Server is an agent skill from Mesh-LLM/mesh-llm. Use this skill when working on benchmark telemetry ingest, metrics-server run lifecycle, OTLP collection, SQLite storage, benchmark report export, or separating telemetry/reporting ownership from staged runtime servers.
Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Databases. It works with OpenTelemetry and SQLite. The repository describes itself as: Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat. The licence is Apache-2.0.
When your agent uses it
- Working on benchmark telemetry ingest
- Metrics-server run lifecycle
- OTLP collection
- Benchmark report export
Example prompts
- “/metrics-server”
What it can do on your machine
Read from SKILL.md and the folder at commit aaf5a6c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
cargo
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Metrics Server loads about 281 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 79 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Mesh-LLM/mesh-llm at commit aaf5a6c, republished under its Apache-2.0 licence (© Mesh-LLM). 79 words, ~281 tokens.
Download SKILL.mdSave it as
.claude/skills/metrics-server/SKILL.md (or your agent's skills folder).- name
- metrics-server
- description
- Use this skill when working on benchmark telemetry ingest, metrics-server run lifecycle, OTLP collection, SQLite storage, benchmark report export, or separating telemetry/reporting ownership from staged runtime servers.
- metadata.short-description
- Work on benchmark telemetry and reports
metrics-server
Use this skill when working on benchmark telemetry ingest, run lifecycle, or report export.
Commands
cargo build -p metrics-server
target/debug/metrics-server serve \
--db /tmp/metrics.sqlite \
--http-addr 127.0.0.1:18080 \
--otlp-grpc-addr 127.0.0.1:14317Benchmark reports should come from metrics-server data. Stage servers emit OTLP; they do not own canonical report export.
Workflow
- Start
metrics-serverbefore a benchmark or experimental skippy run. - Pass the OTLP endpoint to skippy stages with
--metrics-otlp-grpc. - Use
--debug-retain-raw-otlponly for surgical debugging; default reports should avoid retaining raw payloads. - Finalize the run through the HTTP API and export
report.jsonfrom metrics-server data.
© Mesh-LLM, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/metrics-server of Mesh-LLM/mesh-llm.
Open the folder on GitHubat commit aaf5a6c
Compare with similar skills
Metrics Server next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Metrics Server this skillMesh-LLM/mesh-llm | 3.5k | — | ~281 | Automated safety check: Pass | Apache-2.0 | |
| Clickhouse Logs Queriessupabase/supabase | 111k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Add Memory KindEverMind-AI/EverOS | 13k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| SQL Database Support for pRESTprest/prest | 4.6k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Iptvnator Sqlite DB Worker4gray/iptvnator | 7.3k | — | ~824 | Automated safety check: Pass | MIT | |
| Agmsgfujibee/agmsg | 1.5k | — | ~11k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Metrics Server
What does Metrics Server do?
A skill your agent uses when working on benchmark telemetry ingest, metrics-server run lifecycle, OTLP collection, SQLite storage, benchmark report export, or separating telemetry/reporting…. Metrics Server is an agent skill from Mesh-LLM/mesh-llm. Use this skill when working on benchmark telemetry ingest, metrics-server run lifecycle, OTLP collection, SQLite storage, benchmark report export, or separating telemetry/reporting ownership from staged runtime servers.
When should I use Metrics Server?
Metrics Server fits situations like: working on benchmark telemetry ingest; metrics-server run lifecycle; OTLP collection; benchmark report export.
How do I install Metrics Server in Claude Code?
Run `npx skills add Mesh-LLM/mesh-llm --skill metrics-server -a claude-code`. Or copy the skill folder (.agents/skills/metrics-server in Mesh-LLM/mesh-llm) into .claude/skills/metrics-server in your project. Claude Code loads it when a task matches its description.
How do I install Metrics Server in Codex?
Run `npx skills add Mesh-LLM/mesh-llm --skill metrics-server -a codex`. Or copy the skill folder (.agents/skills/metrics-server in Mesh-LLM/mesh-llm) into .agents/skills/metrics-server in your project. Codex loads it when a task matches its description.
Can I use Metrics Server in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Mesh-LLM/mesh-llm --skill metrics-server -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/metrics-server, .gemini/skills/metrics-server, .github/skills/metrics-server and .opencode/skills/metrics-server in your project.
What does Metrics Server need to run?
Going by SKILL.md and its folder, Metrics Server needs the command-line tools its instructions call (cargo).
Does Metrics Server access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Metrics Server safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Metrics Server use?
Metrics Server is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Metrics Server use?
About 281 tokens (SKILL.md is roughly 1.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Metrics Server?
Skills that share tags, products or a category with Metrics Server: Clickhouse Logs Queries (supabase/supabase, 111k stars), Add Memory Kind (EverMind-AI/EverOS, 13k stars), SQL Database Support for pREST (prest/prest, 4.6k stars) and Iptvnator Sqlite DB Worker (4gray/iptvnator, 7.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Metrics Server?
Mesh-LLM (a GitHub organization) maintains it in Mesh-LLM/mesh-llm, which has 3,487 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 9, 2026.
Source: Mesh-LLM/mesh-llm on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.