Agent skill

Telemetry

by egregore-labs in egregore-labs/egregore

Manage local-first telemetry — status, inspect, export, opt in/out, clear, or explicitly share a disclosed dataset.

MITAuto-check passed

Install Telemetry

skills CLI
$ npx skills add egregore-labs/egregore --skill telemetry -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install egregore-labs/egregore telemetry --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/egregore-labs/egregore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/telemetry .claude/skills/telemetry && rm -rf skills-src

Use ~/.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/

Facts

Skill name
telemetry
GitHub stars
291
Token cost
~367 tokens
SKILL.md length
155 words
Files
1
Skills in repo
43
Repo updated
First seen
Licence
MIT

At a glance

Manage local-first telemetry — status, inspect, export, opt in/out, clear, or explicitly share a disclosed dataset.

  • Works in 6 steps: Read .claude/skills/telemetry/SKILL.md… → Run the referenced bin/ scripts directly… → Treat graph and publish steps as… → …
  • Turn off telemetry
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • What data do you collect

What it does

Telemetry is an agent skill from egregore-labs/egregore. Manage local-first telemetry — status, inspect, export, opt in/out, clear, or explicitly share a disclosed dataset. Use for /telemetry, 'turn off telemetry', or 'what data do you collect'.

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Shared intelligence layer for organizations. The licence is MIT.

When your agent uses it

  • Turn off telemetry
  • What data do you collect

Example prompts

  • “turn off telemetry”
  • “what data do you collect”
  • “/telemetry”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Read .claude/skills/telemetry/SKILL.md for the workflow details.
  2. Run the referenced bin/ scripts directly from Codex.
  3. Treat graph and publish steps as best-effort unless that workflow explicitly
  4. For every external notification, follow
  5. Keep local-mode behavior filesystem-first and avoid graph or notification
  6. Never call the deprecated egregore-handoff CLI for Egregore project

What it can do on your machine

Read from SKILL.md and the folder at commit 05b8672. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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 loads about 367 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 155 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~367

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 egregore-labs/egregore at commit 05b8672, republished under its MIT licence (© egregore-labs). 155 words, ~367 tokens.

Download SKILL.mdSave it as .claude/skills/telemetry/SKILL.md (or your agent's skills folder).
name
telemetry
description
Manage local-first telemetry — status, inspect, export, opt in/out, clear, or explicitly share a disclosed dataset. Use for /telemetry, 'turn off telemetry', or 'what data do you collect'.
<!-- generated-by: bin/codex-sync-skills.sh -->

Egregore telemetry Adapter

This adapter runs the canonical Egregore workflow for telemetry. Its one maintained body is .claude/skills/telemetry/SKILL.md; read that file completely and follow it here.

Use the project shell and filesystem directly. Do not invoke Claude Code commands. Translate interactive choices to structured Codex question tooling when it is available; otherwise render compact numbered choices with an Other: option and wait for the user.

  1. Read .claude/skills/telemetry/SKILL.md for the workflow details.
  2. Run the referenced bin/ scripts directly from Codex.
  3. Treat graph and publish steps as best-effort unless that workflow explicitly says they are required.
  4. For every external notification, follow .claude/context/notification-consent.md: plan without sending, then show a separate exact Send / Edit / Cancel checkpoint. Never infer notification consent from the workflow request or a batch approval.
  5. Keep local-mode behavior filesystem-first and avoid graph or notification calls when egregore.json declares "mode": "local".
  6. Never call the deprecated egregore-handoff CLI for Egregore project handoffs.

© egregore-labs, MIT. 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 .codex/skills/telemetry of egregore-labs/egregore.

Open the folder on GitHubat commit 05b8672

Compare with similar skills

Telemetry 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.

Telemetry compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Telemetry this skillegregore-labs/egregore291—~367Automated safety check: PassMIT
Doca Telemetry ExporterNVIDIA/skills3.5k—~4.2kAutomated safety check: PassApache-2.0
Node Inspect Debuggeropenclaw/openclaw392k1 repos~894Automated safety check: PassMIT
Cost Exportruvnet/ruflo74k—~687Automated safety check: NotesMIT
Telemetry AnalyticsOpenHands/OpenHands90k—~305Automated safety check: PassMIT
Telemetry Inspectyonatangross/orchestkit290—~2.8kAutomated safety check: NotesMIT

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Questions about Telemetry

What does Telemetry do?

Manage local-first telemetry — status, inspect, export, opt in/out, clear, or explicitly share a disclosed dataset. Telemetry is an agent skill from egregore-labs/egregore. Manage local-first telemetry — status, inspect, export, opt in/out, clear, or explicitly share a disclosed dataset.

When should I use Telemetry?

Telemetry fits situations like: turn off telemetry; what data do you collect.

How do I install Telemetry in Claude Code?

Run `npx skills add egregore-labs/egregore --skill telemetry -a claude-code`. Or copy the skill folder (.codex/skills/telemetry in egregore-labs/egregore) into .claude/skills/telemetry in your project. Claude Code loads it when a task matches its description.

How do I install Telemetry in Codex?

Run `npx skills add egregore-labs/egregore --skill telemetry -a codex`. Or copy the skill folder (.codex/skills/telemetry in egregore-labs/egregore) into .agents/skills/telemetry in your project. Codex loads it when a task matches its description.

Can I use Telemetry 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 egregore-labs/egregore --skill telemetry -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, .gemini/skills/telemetry, .github/skills/telemetry and .opencode/skills/telemetry in your project.

What does Telemetry need to run?

SKILL.md names no scripts, command-line tools or credentials: Telemetry is instructions for the agent only.

Does Telemetry 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 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 use?

Telemetry is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Telemetry use?

About 367 tokens (SKILL.md is roughly 1.5k 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?

Skills that share tags, products or a category with Telemetry: Doca Telemetry Exporter (NVIDIA/skills, 3.5k stars), Node Inspect Debugger (openclaw/openclaw, 392k stars), Cost Export (ruvnet/ruflo, 74k stars) and Telemetry Analytics (OpenHands/OpenHands, 90k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Telemetry?

egregore-labs (a GitHub organization) maintains it in egregore-labs/egregore, which has 291 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on October 1, 2026.

Source: egregore-labs/egregore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.