pm-measure

pm-measure is a command for Claude Code from VandanaAjayDubey111/great-pm. It costs 46 tokens per session (1,001 once invoked), scanned A, original, MIT.

A post-launch measurement command that reviews how an initiative performed and designs the next experiment. An experiment is a planned test used to answer a specific product question.

In plain words
What is it for?
Use it after an initiative has launched and its launch checkpoint has passed. It produces a performance read-out and two or three questions or tests for the next cycle.
Why use it?
It turns launch results into follow-up decisions instead of ending the process at release. It also sends new questions back into discovery, closing the planning loop.

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 Use it after an initiative has launched and its launch checkpoint has passed. It produces a performance read-out and two or three questions or tests for the next cycle.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/commands/vandanaajaydubey111/great-pm/pm-measure"><img src="https://agentmods.dev/badge/commands/vandanaajaydubey111/great-pm/pm-measure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,001 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 $0.00046 $0.01001
Opus 5.5 $0.00018 $0.00400
Sonnet 5.5 $0.00009 $0.00200
Haiku 4.5 $0.00005 $0.00100

Measured 1mo ago against content hash 5fe2a069b224, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pm-measure 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-measure.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the great-pm /pm-measure command. Stage 6 — the loop closes here.

Parse arguments

  • <initiative-slug> (required) — must have launched.
  • --window=<N>days (default: 30) → post-launch read-out window.

Pre-flight

SLUG="${1:?usage: /pm-measure <initiative-slug> [--window=<N>days]}"
ls .great-pm/drafts/launch-plan-${SLUG}.md 2>/dev/null && echo "LAUNCH_OK" || echo "NO_LAUNCH"
ls .great-pm/drafts/metrics-plan-${SLUG}.md 2>/dev/null && echo "METRICS_OK" || echo "NO_METRICS"
bd list --label "gate:launch" --status closed | grep -q "$SLUG" && echo "LAUNCH_PASSED" || echo "NO_LAUNCH_GATE"
mkdir -p .great-pm/drafts

If NO_LAUNCH_GATE → BLOCKED. gate:launch must close (i.e. the launch actually happened) before measurement.

If NO_METRICS → WARN. The read-out is much weaker without a pre-launch metrics plan. Surface this honestly.

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. analytics-analyst

    • Brief: read metrics plan (if it exists), pull current data, produce a performance read-out covering:
      • Headline (one paragraph, honest, no victory lap).
      • North Star + KPI movement table (with confidence intervals).
      • Funnel by segment.
      • Retention cohorts.
      • NPS/CSAT verbatim themes.
      • Launch success measures (gtm-strategist's).
      • Causal note — observed data ≠ controlled test.
      • 2–3 next questions for Discover (the loop closes).
      • Open data gaps.
    • Output: .great-pm/drafts/performance-readout-<slug>.md using templates/PERFORMANCE-READOUT-template.md.

Read the full file on GitHub · 91 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 · 91 lines · 46 tokens per session scan A 5fe2a069b224

Subscribe to this mod's changes

pm-measure is a command published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 1,001 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.