pm-experiment

pm-experiment is a command for Claude Code from VandanaAjayDubey111/great-pm. It costs 42 tokens per session (923 once invoked), scanned A, original, MIT.

A command for designing a controlled product experiment, such as an A/B test, holdout, multivariate test, or switchback test. It produces a pre-registered plan with a hypothesis, success measures, minimum detectable effect, safeguards, and stopping rules.

In plain words
What is it for?
Planning tests of product or process changes, including what groups receive each version and when the test should stop.
Why use it?
It helps teams define how an experiment will be judged before looking at its results, reducing biased conclusions.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Part of the great-pm plugin — 114 skills, 34 commands, 48 agents, 5 hooks shipped together

Good fit Planning tests of product or process changes, including what groups receive each version and when the test should stop.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/vandanaajaydubey111/great-pm/pm-experiment
Install

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.

Clone the repo
git clone --depth 1 https://github.com/VandanaAjayDubey111/great-pm

Made for: Claude Code.

Or install great-pm, the plugin that ships this one along with the rest of its 114 skills, 34 commands, 48 agents, 5 hooks.

Wrote 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.

agentmods badge for pm-experiment

README.md
[![agentmods](https://agentmods.dev/badge/commands/vandanaajaydubey111/great-pm/pm-experiment/github.svg)](https://agentmods.dev/commands/vandanaajaydubey111/great-pm/pm-experiment)
Your own site
<a href="https://agentmods.dev/commands/vandanaajaydubey111/great-pm/pm-experiment"><img src="https://agentmods.dev/badge/commands/vandanaajaydubey111/great-pm/pm-experiment/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.

agentmods 80×15 button for pm-experiment

Your own site · 80×15
<a href="https://agentmods.dev/commands/vandanaajaydubey111/great-pm/pm-experiment"><img src="https://agentmods.dev/badge/commands/vandanaajaydubey111/great-pm/pm-experiment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 923 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00923
Opus 5.5 $0.00017 $0.00369
Sonnet 5.5 $0.00008 $0.00185
Haiku 4.5 $0.00004 $0.00092

Measured 1mo ago against content hash 3a60c5e13328, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pm-experiment 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 1mo 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.

commands/pm-experiment.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the great-pm /pm-experiment command. Author a pre-registered experiment.

Parse arguments

  • <hypothesis-slug> (required) → kebab-case slug (e.g. onboarding-shorter-flow).
  • --type= (optional, experiment-designer recommends if omitted).
    • ab — classic two-arm A/B.
    • multivariate — multiple factors.
    • holdout — one cohort doesn't get the change (for long-term effects).
    • switchback — time-sliced (for marketplace / two-sided experiments).

Pre-flight

SLUG="${1:?usage: /pm-experiment <hypothesis-slug> [--type=...]}"
mkdir -p .great-pm/drafts
ls .great-pm/drafts/metrics-plan-*.md 2>/dev/null && echo "METRICS_EXISTS" || echo "NO_METRICS"

If NO_METRICS → WARN. Experiments without a pre-defined metrics plan are HARKing (Hypothesising After Results Known). Recommend running /pm-metrics first.

Operating procedure

  1. Step 0 — refine the user's query (transparent Mode B). Invoke query-refiner-pm with $ARGUMENTS. The refiner returns:

    You typed:  <original>
    
    Refined to: <refined brief>
    
    What changed: <one line>
    
    Proceeding with refined. Reply "use original" to override.
    

    Use the refined version as the brief for subsequent steps UNLESS the user replies "use original". Log the refinement to .great-pm/refinements/$(date +%Y-%m-%d).log. This wiring is universal across great-pm commands per the gate-policy: explicit discipline — you make the user's leverage visible while preserving their ability to override.

  2. experiment-designer

    • Brief: author the experiment doc with:
      • Hypothesis (one sentence with mechanism) — "If we X, then Y will move by Z because mechanism." If the mechanism is hand-wavy, the result won't generalise.
      • Primary metric (must be pre-defined in metrics plan).
      • MDE (minimum detectable effect).
      • Guardrail metrics (latency, errors, long-term retention).
      • Test design (type + justification + sample size + power + alpha).
      • Pre-registered stopping rules (no peeking before planned end).
      • Risks (novelty effect, seasonality, network effects).
      • Empty read-out section (DO NOT pre-fill).
    • Output: .great-pm/drafts/experiment-<slug>.md using templates/EXPERIMENT-template.md.

Read the full file on GitHub · 89 lines

Changes

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.

  1. 1mo ago First seen · 89 lines · 0 tokens per session scan A 3a60c5e13328

Subscribe to this mod's changes

pm-experiment is a command published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 923 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-21.