Eval
agentevals-dev/agentevals
Evaluate and score agent behavior against a golden reference.
A skill your agent uses when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation.
Install Telemetry Privacy Review
$ npx skills add Mesh-LLM/mesh-llm --skill telemetry-privacy-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Mesh-LLM/mesh-llm telemetry-privacy-review --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/telemetry-privacy-review .claude/skills/telemetry-privacy-review && 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 "telemetry-privacy-review" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/telemetry-privacy-review into .claude/skills/telemetry-privacy-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telemetry-privacy-review", 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/telemetry-privacy-reviewType 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 telemetry-privacy-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Mesh-LLM/mesh-llm telemetry-privacy-review --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/telemetry-privacy-review .agents/skills/telemetry-privacy-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "telemetry-privacy-review" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/telemetry-privacy-review into .agents/skills/telemetry-privacy-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telemetry-privacy-review", 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 telemetry-privacy-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Mesh-LLM/mesh-llm telemetry-privacy-review --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/telemetry-privacy-review .cursor/skills/telemetry-privacy-review && 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 "telemetry-privacy-review" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/telemetry-privacy-review into .cursor/skills/telemetry-privacy-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telemetry-privacy-review", 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/telemetry-privacy-review--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 telemetry-privacy-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Mesh-LLM/mesh-llm telemetry-privacy-review --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/telemetry-privacy-review .gemini/skills/telemetry-privacy-review && 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 "telemetry-privacy-review" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/telemetry-privacy-review into .gemini/skills/telemetry-privacy-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telemetry-privacy-review", 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 telemetry-privacy-reviewInstalls 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 telemetry-privacy-review -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/telemetry-privacy-review .github/skills/telemetry-privacy-review && 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 "telemetry-privacy-review" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/telemetry-privacy-review into .github/skills/telemetry-privacy-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telemetry-privacy-review", 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 telemetry-privacy-review -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 telemetry-privacy-review --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/telemetry-privacy-review .opencode/skills/telemetry-privacy-review && 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 "telemetry-privacy-review" agent skill from https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/telemetry-privacy-review into .opencode/skills/telemetry-privacy-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "telemetry-privacy-review", 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
telemetry-privacy-review- GitHub stars
- 3.5k
- Token cost
- ~489 tokens
- SKILL.md length
- 178 words
- Files
- 1
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation.
- Reviewing mesh-llm OTLP metrics
- SKILL.md covers Review Contract, Required Updates and Validation
- Calls cargo
- Telemetry attributes
What it does
Telemetry Privacy Review is an agent skill from Mesh-LLM/mesh-llm. Use this skill when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation.
Its SKILL.md is about 490 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 AI & LLM Engineering. It works with OpenTelemetry. 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
- Reviewing mesh-llm OTLP metrics
- Telemetry attributes
- Metrics exporter settings
- Telemetry documentation
Example prompts
- “/telemetry-privacy-review”
What it can do on your machine
Read from SKILL.md and the folder at commit 1b9f0cf. 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
Telemetry Privacy Review loads about 489 tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 178 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 1b9f0cf, republished under its Apache-2.0 licence (© Mesh-LLM). 178 words, ~489 tokens.
Download SKILL.mdSave it as
.claude/skills/telemetry-privacy-review/SKILL.md (or your agent's skills folder).- name
- telemetry-privacy-review
- description
- Use this skill when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation.
- metadata.short-description
- Review mesh-llm telemetry privacy
telemetry-privacy-review
Use this skill before changing mesh-llm OTLP metrics, exporter activation, or telemetry attribute names.
Review Contract
- Keep telemetry metrics-only. Do not export prompts, completions, logs, traces, hostnames, mesh gossip, relay messages, raw node IDs, raw GPU stable IDs, endpoint URLs, local absolute paths, or prompt hashes.
- Keep egress explicit. There must be no hard-coded collector. Generic OTel env
endpoints may only be consumed after
telemetry.enabled = true; mesh config endpoints are explicit operator configuration. - Treat hashed IDs as stable pseudonymous identifiers, not anonymous data.
- Keep request-path telemetry non-blocking and bounded.
- Keep model labels sanitized with the runtime telemetry model-label helper.
- Prefer bounded enums, buckets, counts, and hashes over high-cardinality raw values.
Required Updates
- Update
TELEMETRY_ATTRIBUTE_ALLOWLISTinmesh/crates/mesh-llm/src/runtime/survey.rsfor every new exported attribute. - Update
mesh/docs/plugins/telemetry.mdwith the metric or attribute inventory and privacy handling. - Add focused tests for private-path, raw-ID, endpoint-URL, prompt, and completion exclusion when the change touches those surfaces.
Validation
Run the narrowest relevant checks for the touched area. For telemetry runtime changes, start with:
cargo test -p mesh-llm runtime::survey::tests --lib
cargo test -p mesh-llm telemetry_config --libIf routing telemetry changed, also run the focused mesh routing telemetry test:
cargo test -p mesh-llm routing_telemetry_sink_receives_request_pressure_and_attempt_events --lib© 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/telemetry-privacy-review of Mesh-LLM/mesh-llm.
Open the folder on GitHubat commit 1b9f0cf
Compare with similar skills
Telemetry Privacy Review 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 |
|---|---|---|---|---|---|---|
| Telemetry Privacy Review this skillMesh-LLM/mesh-llm | 3.5k | — | ~489 | Automated safety check: Pass | Apache-2.0 | |
| Evalagentevals-dev/agentevals | 163 | — | ~904 | Automated safety check: Pass | Apache-2.0 | |
| Phoenix LLM ObservabilityOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Dt Obs GenaiDynatrace/dynatrace-for-ai | 163 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Sentry Elixir SDKgetsentry/sentry-for-ai | 268 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Logfire Evalspydantic/skills | 140 | — | ~3.6k | Automated safety check: Pass | MIT |
Similar skills
Phoenix LLM Observability
Orchestra-Research/AI-Research-SKILLs
Sets up Arize Phoenix to trace, evaluate and monitor LLM applications, with instrumentation for OpenAI, LangChain and LlamaIndex and a self-hosted server.
Dt Obs Genai
Dynatrace/dynatrace-for-ai
Analyze & debug GenAI/LLM apps: token cost & caching by prompt, model & provider; latency/errors; agent & tool loops/failures; conversations; guardrails; evaluations; OpenTelemetry/dt-evals setup.
- Official
Sentry Elixir SDK
getsentry/sentry-for-ai
Full Sentry SDK setup for Elixir. An agent skill from getsentry/sentry-for-ai.
- Official
Logfire Evals
pydantic/skills
Run offline Python (pydanticevals) or Node.js (logfire/evals) evaluations and review them in Logfire.
Agentsop Observability Setup
agentsope/SkillAlchemy
Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover.
More from Mesh-LLM/mesh-llm
All 25 skills in this repoRelease Validation
Mesh-LLM/mesh-llm
A skill your agent uses when validating a MeshLLM release candidate or current HEAD against the last GitHub release, assembling the canonical feature/fix/modification inventory, testing locally…
Benchmark Tune
Mesh-LLM/mesh-llm
A skill your agent uses when running, debugging, interpreting, or documenting mesh-llm benchmark tune model-serving throughput trials, including choosing…
Config Settings Management
Mesh-LLM/mesh-llm
A skill your agent uses when adding, renaming, removing, validating, or exposing mesh-llm config settings, including built-in settings, plugin config schemas, owner-control apply behavior, CLI…
Connect Agents
Mesh-LLM/mesh-llm
A skill your agent uses when connecting agent tools or OpenAI clients to mesh-llm — launching or configuring Goose, Claude Code, OpenCode, Pi, curl, or any OpenAI-compatible client against a local…
Hf Bf16 Gguf Conversion Jobs
Mesh-LLM/mesh-llm
A skill your agent uses when converting Hugging Face SafeTensors checkpoints into split BF16 GGUF model repos with skippy-quantize on Hugging Face Jobs or a local machine, then publishing the…
Hf Gguf Quant Jobs
Mesh-LLM/mesh-llm
A skill your agent uses when creating, monitoring, validating, or documenting low-memory Hugging Face Jobs or local runs that quantize split BF16/FP16 GGUF model repos into custom quant GGUF repos…
Related
Works with
Categories
Questions about Telemetry Privacy Review
What does Telemetry Privacy Review do?
A skill your agent uses when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation. Telemetry Privacy Review is an agent skill from Mesh-LLM/mesh-llm. Use this skill when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation.
When should I use Telemetry Privacy Review?
Telemetry Privacy Review fits situations like: reviewing mesh-llm OTLP metrics; telemetry attributes; metrics exporter settings; telemetry documentation.
How do I install Telemetry Privacy Review in Claude Code?
Run `npx skills add Mesh-LLM/mesh-llm --skill telemetry-privacy-review -a claude-code`. Or copy the skill folder (.agents/skills/telemetry-privacy-review in Mesh-LLM/mesh-llm) into .claude/skills/telemetry-privacy-review in your project. Claude Code loads it when a task matches its description.
How do I install Telemetry Privacy Review in Codex?
Run `npx skills add Mesh-LLM/mesh-llm --skill telemetry-privacy-review -a codex`. Or copy the skill folder (.agents/skills/telemetry-privacy-review in Mesh-LLM/mesh-llm) into .agents/skills/telemetry-privacy-review in your project. Codex loads it when a task matches its description.
Can I use Telemetry Privacy Review 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 telemetry-privacy-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/telemetry-privacy-review, .gemini/skills/telemetry-privacy-review, .github/skills/telemetry-privacy-review and .opencode/skills/telemetry-privacy-review in your project.
What does Telemetry Privacy Review need to run?
Going by SKILL.md and its folder, Telemetry Privacy Review needs the command-line tools its instructions call (cargo).
Does Telemetry Privacy Review 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 Telemetry Privacy Review 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 Telemetry Privacy Review use?
Telemetry Privacy Review 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 Telemetry Privacy Review use?
About 489 tokens (SKILL.md is roughly 2k 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 Telemetry Privacy Review?
Skills that share tags, products or a category with Telemetry Privacy Review: Eval (agentevals-dev/agentevals, 163 stars), Phoenix LLM Observability (Orchestra-Research/AI-Research-SKILLs, 13k stars), Dt Obs Genai (Dynatrace/dynatrace-for-ai, 163 stars) and Sentry Elixir SDK (getsentry/sentry-for-ai, 268 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Telemetry Privacy Review?
Mesh-LLM (a GitHub organization) maintains it in Mesh-LLM/mesh-llm, which has 3,495 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 11, 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.