measure

measure is a skill for Claude Code, Codex from benmarte/autoimprove. It costs 49 tokens per session (292 once invoked), scanned A, original, MIT.

A codebase measurement routine that runs the configured type checks, build, tests, and linting, then combines their results into a quality score from 0 to 100.

In plain words
What is it for?
Recording a baseline before improvements or checking project quality during development.
Why use it?
It gives one repeatable view of code health and shows which area needs the most attention.

Skill for Claude CodeCodex

Part of the autoimprove plugin — 6 skills, 6 commands, 1 hook shipped together

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.

agentmods
npx agentmods add skills/benmarte/autoimprove/measure
Any agent
npx skills add benmarte/autoimprove --skill measure
Clone the repo
git clone --depth 1 https://github.com/benmarte/autoimprove

Made for: Claude Code, Codex.

Or install autoimprove, the plugin that ships this one along with the rest of its 6 skills, 6 commands, 1 hook.

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/benmarte/autoimprove/measure.svg)](https://agentmods.dev/skills/benmarte/autoimprove/measure)
Your own site
<a href="https://agentmods.dev/skills/benmarte/autoimprove/measure"><img src="https://agentmods.dev/badge/skills/benmarte/autoimprove/measure.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00049 $0.00292
Opus 5 $0.00024 $0.00146
Sonnet 5 $0.00010 $0.00058
Haiku 4.5 $0.00005 $0.00029

Measured 3d ago against content hash 400c44666baa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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.

skills/measure/SKILL.md · 37 lines

What it actually says

Measure Skill

Run the project's quality measurement suite and report the composite score.

Steps

  1. Read .claude/autoimprove/config.md. If it doesn't exist, say: "Run /autoimprove:setup first."

  2. Run each command defined in the config's measurement sections, in order:

    • Type check / compile
    • Build
    • Tests
    • Lint
  3. Parse results using the error patterns and success patterns defined in the config.

  4. Calculate composite score using the weights in the config.

  5. Report:

📊 Codebase Quality Score: XX/100

  [Type check label]:  X errors  → XX/40 pts
  [Build label]:       ✅/❌      → XX/20 pts
  [Test label]:        X/X pass  → XX/30 pts
  [Lint label]:        X errors  → XX/10 pts

💡 Lowest area: [label] — [one specific actionable suggestion]
  1. If any command fails unexpectedly (not just returns errors but actually crashes), report the raw output so the user can debug their tooling.
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. 3d ago First seen · 37 lines · 49 tokens per session scan A 400c44666baa

Subscribe to this mod's changes

measure is a skill published in the GitHub repository benmarte/autoimprove (5 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 292 once invoked, about $0.0002 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 2026-08-31.

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