Agent skill

Monitor Experiments

by amplitude in amplitude/builder-skills

Monitors all active and recently completed experiments across Amplitude projects, triages them by importance, then runs deep analysis and reporting on the most impactful ones.

No licenceAuto-check passed

Install Monitor Experiments

skills CLI
$ npx skills add amplitude/builder-skills --skill monitor-experiments -a claude-code

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

GitHub CLI
$ gh skill install amplitude/builder-skills monitor-experiments --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/amplitude/builder-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/analytics-skills/skills/monitor-experiments .claude/skills/monitor-experiments && 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
monitor-experiments
GitHub stars
159
Token cost
~3.5k tokens
SKILL.md length
1,478 words
Files
1
Skills in repo
62
Repo updated
First seen
Licence
None found

At a glance

Monitors all active and recently completed experiments across Amplitude projects, triages them by importance, then runs deep analysis and reporting on the most impactful ones.

  • Works in 4 steps: Context & Discovery → Fetch Metadata, Metric Names & Primary… → Summary & Actions → …
  • The user asks to check on experiments
  • SKILL.md covers CRITICAL: Managing Response…, Report Structure, Instructions and Edge Cases
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Monitor Experiments is an agent skill from amplitude/builder-skills. Monitors all active and recently completed experiments across Amplitude projects, triages them by importance, then runs deep analysis and reporting on the most impactful ones. Use when the user asks to "check on experiments", "experiment status", "experiment review", "what experiments are running", or wants a periodic experiment health report.

Its SKILL.md is about 3.5k 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: Open-source AI skills for product managers — battle-tested by PMs at Amplitude.

When your agent uses it

  • The user asks to check on experiments
  • Experiment status
  • Experiment review
  • What experiments are running

Example prompts

  • “check on experiments”
  • “experiment status”
  • “experiment review”
  • “/monitor-experiments”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Context & Discovery
  2. Fetch Metadata, Metric Names & Primary Results
  3. Summary & Actions
  4. Details

What it can do on your machine

Read from SKILL.md and the folder at commit 51838c2. 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

Monitor Experiments loads about 3.5k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 1,478 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,478 words (~3,469 tokens).

“Scan active and recently completed experiments, surface what needs attention, and report on the ones that matter.”

— opening of SKILL.md by amplitude
name
monitor-experiments
suggest_when
User asks "what experiments are running", "check on experiments", "experiment status", wants a periodic experiment health report, or asks about all active…

Read the full SKILL.md on GitHub

Files

Just SKILL.md in analytics-skills/skills/monitor-experiments of amplitude/builder-skills.

Open the folder on GitHubat commit 51838c2

Compare with similar skills

Monitor Experiments 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.

Monitor Experiments compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Monitor Experiments this skillamplitude/builder-skills159—~3.5kAutomated safety check: PassNone
Experiment Verification Monitoringhashgraph-online/awesome-codex-plugins1.2k—~771Automated safety check: PassMIT
Qdrant Monitoringgithub/awesome-copilot40k1 repos~276Automated safety check: PassMIT
ExperimentsArize-ai/phoenix12k—~1.8kAutomated safety check: PassCustom licence
Summarize Activityalpinejs/alpine32k—~1.6kAutomated safety check: NotesMIT
Scroll Experiencesickn33/agentic-awesome-skills47k2 repos~534Automated safety check: PassMIT

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  • Experiment Verification Monitoring

    hashgraph-online/awesome-codex-plugins

    Verify and monitor running experiments for operational quality.

    1.2k GitHub stars~771 tokensUpdated today
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    32k GitHub stars~1.6k tokensUpdated 2 days ago
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Questions about Monitor Experiments

What does Monitor Experiments do?

Monitors all active and recently completed experiments across Amplitude projects, triages them by importance, then runs deep analysis and reporting on the most impactful ones. Monitor Experiments is an agent skill from amplitude/builder-skills. Monitors all active and recently completed experiments across Amplitude projects, triages them by importance, then runs deep analysis and reporting on the most impactful ones.

When should I use Monitor Experiments?

Monitor Experiments fits situations like: the user asks to check on experiments; experiment status; experiment review; what experiments are running.

How do I install Monitor Experiments in Claude Code?

Run `npx skills add amplitude/builder-skills --skill monitor-experiments -a claude-code`. Or copy the skill folder (analytics-skills/skills/monitor-experiments in amplitude/builder-skills) into .claude/skills/monitor-experiments in your project. Claude Code loads it when a task matches its description.

How do I install Monitor Experiments in Codex?

Run `npx skills add amplitude/builder-skills --skill monitor-experiments -a codex`. Or copy the skill folder (analytics-skills/skills/monitor-experiments in amplitude/builder-skills) into .agents/skills/monitor-experiments in your project. Codex loads it when a task matches its description.

Can I use Monitor Experiments 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 amplitude/builder-skills --skill monitor-experiments -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/monitor-experiments, .gemini/skills/monitor-experiments, .github/skills/monitor-experiments and .opencode/skills/monitor-experiments in your project.

What does Monitor Experiments need to run?

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

Does Monitor Experiments 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 Monitor Experiments 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 Monitor Experiments use?

No licence was found for Monitor Experiments or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Monitor Experiments use?

About 3.5k tokens (SKILL.md is roughly 14k 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 Monitor Experiments?

Skills that share tags, products or a category with Monitor Experiments: Experiment Verification Monitoring (hashgraph-online/awesome-codex-plugins, 1.2k stars), Qdrant Monitoring (github/awesome-copilot, 40k stars), Experiments (Arize-ai/phoenix, 12k stars) and Summarize Activity (alpinejs/alpine, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Monitor Experiments?

amplitude (a GitHub organization) maintains it in amplitude/builder-skills, which has 159 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on July 24, 2026.

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