What is metrics-clarity?

A command that examines reports, dashboards, research results, or other metrics and explains their main meaning in plain language. It also checks possible bias and limits in the data.

Use it when a metric changes and you need to understand why, such as a drop in conversion or a rise in engagement without higher revenue. It produces a concise finding followed by supporting analysis and caveats.

It reduces the risk of drawing the wrong conclusion from numbers or making stakeholders search through a report for the important point. It makes the evidence and its uncertainties easier to discuss.

How MrJoeSack/pm-prompts configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to MrJoeSack/pm-prompts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/MrJoeSack/pm-prompts/main/.claude/commands/metrics-clarity.md

Clone the repo

git clone --depth 1 https://github.com/MrJoeSack/pm-prompts

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/mrjoesack/pm-prompts/metrics-clarity/github.svg)](https://agentmods.dev/commands/mrjoesack/pm-prompts/metrics-clarity)

Your own site

<a href="https://agentmods.dev/commands/mrjoesack/pm-prompts/metrics-clarity"><img src="https://agentmods.dev/badge/commands/mrjoesack/pm-prompts/metrics-clarity/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.

Your own site · 80×15

<a href="https://agentmods.dev/commands/mrjoesack/pm-prompts/metrics-clarity"><img src="https://agentmods.dev/badge/commands/mrjoesack/pm-prompts/metrics-clarity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 299 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.

Model	Per session	Once invoked
Fable 5.1	$0.00012	$0.00299
Opus 5.5	$0.00005	$0.00120
Sonnet 5.5	$0.00002	$0.00060
Haiku 4.5	$0.00001	$0.00030

Measured 2mo ago against content hash b14d44d48927, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

metrics-clarity 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 2mo 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.

.claude/commands/metrics-clarity.md · 40 lines

What it actually says

Metrics Clarity Engine

Transform data analysis into clear insights using the data analysis framework:

Pre-Analysis Questions

What question will this answer? (one sentence)
What would prove you wrong?
What are you hoping to find? (bias check)
Who needs to believe this?

Clarity Principles

Lead with conclusion: Don't make stakeholders hunt for insights
Plain language: "Users drop off" not "conversion demonstrates suboptimal performance"
Show don't tell: One clear chart beats three paragraphs
Address objections: Why might this data mislead?

The Reality Check

Perfect data doesn't exist. Good decisions do.

Input Instructions

Paste your data/metrics content, or describe your analysis like: "Our [metric] shows [finding] but I want to make sure I'm interpreting this correctly"

Examples:

"Our conversion rate dropped 15% but I'm not sure what's causing it"
"User engagement is up but revenue is flat - help me understand why"

Output

Provide the key finding in one sentence, then supporting analysis with bias and limitation checks.

Arguments: {{args}}

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.

2mo ago First seen · 40 lines · 12 tokens per session scan A b14d44d48927

Subscribe to this mod's changes

metrics-clarity is a command published in the GitHub repository MrJoeSack/pm-prompts (6 stars, last pushed 9mo ago), licensed MIT. It adds 12 tokens to every session and 299 once invoked, about $0.0000 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 2026-08-31.

Analytics and metrics

metrics-clarity next to 6 commands from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
metrics-clarityMrJoeSack/pm-prompts	Command	6	9mo ago	MIT	A	12	Claude Code
checklistgithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
clarifygithub/spec-kit	Command	148k	yesterday	MIT	A	27	Claude Code
specifygithub/spec-kit	Command	148k	yesterday	MIT	A	13	Claude Code
analyzegithub/spec-kit	Command	148k	yesterday	MIT	A	26	Claude Code
convergegithub/spec-kit	Command	148k	yesterday	MIT	A	35	Claude Code
implementgithub/spec-kit	Command	148k	yesterday	MIT	A	14	Claude Code

pm-prompts: Command for Claude Code