measure

measure is a skill for Claude Code from GiustoPiedimonte/agentic-engineering-marketplace. It costs 65 tokens per session (450 once invoked), scanned A, original, MIT.

A read-only measurement workflow for answering development and product questions with data. It compares the result with a stated rule and gives a flip, keep, or cut verdict.

In plain words
What is it for?
Use it to check usage, metrics, or logs before deciding whether to keep, remove, or enable a change. If the data is not ready, it explains what information or time window is still needed.
Why use it?
It replaces guesses with evidence while avoiding changes to databases, logs, or other measured systems.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions subagents.

Part of the agentic-engineering plugin — 6 skills, 5 agents, 2 hooks shipped together

Good fit Use it to check usage, metrics, or logs before deciding whether to keep, remove, or enable a change. If the data is not ready, it explains what information or time window is still needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/giustopiedimonte/agentic-engineering-marketplace/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.

Any agent
npx skills add GiustoPiedimonte/agentic-engineering-marketplace --skill measure
Clone the repo
git clone --depth 1 https://github.com/GiustoPiedimonte/agentic-engineering-marketplace

Made for: Claude Code.

Or install agentic-engineering, the plugin that ships this one along with the rest of its 6 skills, 5 agents, 2 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 measure

README.md
[![agentmods](https://agentmods.dev/badge/skills/giustopiedimonte/agentic-engineering-marketplace/measure/github.svg)](https://agentmods.dev/skills/giustopiedimonte/agentic-engineering-marketplace/measure)
Your own site
<a href="https://agentmods.dev/skills/giustopiedimonte/agentic-engineering-marketplace/measure"><img src="https://agentmods.dev/badge/skills/giustopiedimonte/agentic-engineering-marketplace/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 measure

Your own site · 80×15
<a href="https://agentmods.dev/skills/giustopiedimonte/agentic-engineering-marketplace/measure"><img src="https://agentmods.dev/badge/skills/giustopiedimonte/agentic-engineering-marketplace/measure.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 450 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 $0.00065 $0.00450
Opus 5 $0.00032 $0.00225
Sonnet 5 $0.00013 $0.00090
Haiku 4.5 $0.00006 $0.00045

Measured 12d ago against content hash f0de73224c78, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

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 12d 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.

plugins/agentic-engineering/skills/measure/SKILL.md · 41 lines

What it actually says

/measure — turn a gated decision into a data verdict

When a decision is blocked on "what do the data actually say?", measure instead of guessing. $ARGUMENTS is the question to answer.

Process

  1. State the question precisely and what verdict each outcome implies (e.g. "if <1% of sessions hit this path -> cut; otherwise keep").
  2. Delegate to the measurer subagent (or run directly if trivial). All access is read-only — open databases read-only, query logs/metrics without mutation. Never print secrets (no env dumps / token values).
  3. Report: the question, the exact read-only command(s) run, the raw result, and a clear verdict (flip / keep / cut) with the reasoning.
  4. If the data isn't ready (the runtime window hasn't matured, or the metric isn't populated), say so explicitly and state what window/data would settle it. Do not invent a verdict.

Distinguish what the data shows from what you infer from it. A measure-gated decision stays open until the measurement is real.

Flip-gate for dark launches

This is the mechanism that flips a dark-launched change ON (see /ship §4 and the Flip-criteria field in /adr). When a decision was merged dormant with a recorded flip-criterion, /measure is what closes it: run the read-only check against that exact criterion and window, then return flip / keep / cut. Flip only on a real flip verdict — never on a green build or a synthetic check, which validate the mechanism, not the magnitude.

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. 12d ago First seen · 41 lines · 65 tokens per session scan A f0de73224c78

Subscribe to this mod's changes

measure is a skill published in the GitHub repository GiustoPiedimonte/agentic-engineering-marketplace (13 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 450 once invoked, about $0.0003 per session on Opus 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 2026-08-30.

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