readiness-scorer

readiness-scorer is a skill for Claude Code from cobusgreyling/grok-build-showcase. It costs 98 tokens per session (867 once invoked), scanned A, original, MIT.

A project assessment skill that calculates and explains a 0–100 Grok Readiness Score. It checks project instructions, skills, tests, continuous integration, ignored files, Git practices, and verification guidance.

In plain words
What is it for?
It is for reviewing a repository’s setup, scoring its readiness for agent-assisted work, and identifying weaknesses in its rules, tests, CI, Git hygiene, and verification process.
Why use it?
It turns scattered signs of project quality into one explained assessment, making it easier to see what may hinder coding agents.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions AGENTS.md.

Good fit It is for reviewing a repository’s setup, scoring its readiness for agent-assisted work, and identifying weaknesses in its rules, tests, CI, Git hygiene, and verification process.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cobusgreyling/grok-build-showcase/readiness-scorer
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 cobusgreyling/grok-build-showcase --skill readiness-scorer
Clone the repo
git clone --depth 1 https://github.com/cobusgreyling/grok-build-showcase

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.

agentmods badge for readiness-scorer

README.md
[![agentmods](https://agentmods.dev/badge/skills/cobusgreyling/grok-build-showcase/readiness-scorer/github.svg)](https://agentmods.dev/skills/cobusgreyling/grok-build-showcase/readiness-scorer)
Your own site
<a href="https://agentmods.dev/skills/cobusgreyling/grok-build-showcase/readiness-scorer"><img src="https://agentmods.dev/badge/skills/cobusgreyling/grok-build-showcase/readiness-scorer/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 readiness-scorer

Your own site · 80×15
<a href="https://agentmods.dev/skills/cobusgreyling/grok-build-showcase/readiness-scorer"><img src="https://agentmods.dev/badge/skills/cobusgreyling/grok-build-showcase/readiness-scorer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 867 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 $0.00098 $0.00867
Opus 5 $0.00049 $0.00434
Sonnet 5 $0.00020 $0.00173
Haiku 4.5 $0.00010 $0.00087

Measured 11d ago against content hash 2f7d6a2cebb1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

readiness-scorer 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 11d 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.

.grok/skills/readiness-scorer/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Readiness Scorer

You are the specialist that turns raw signals into a defensible, explainable 0-100 score plus clear rationale.

Core Signals & Weights (guideline — adjust for project type)

Signal Weight Good Example Weak Example
Root AGENTS.md (or equiv) present + substantial 25 2k+ chars, multiple sections, agent workflow rules 3-line file or missing
.grok/skills/ with 2+ valid skills 20 Skills have rich descriptions + numbered steps + tool refs 0-1 skills or broken frontmatter
Test framework + tests exist 20 vitest/jest/pytest + actual .test. files that run No tests or only example tests
CI configuration 10 .github/workflows/ci.yml that runs test + build No CI
Ignore hygiene (.grokignore or strong .gitignore) 8 Explicit .grokignore + node_modules/dist ignored Everything unignored
Git discipline (clean history, recent activity) 7 Main branch, conventional commits, clean status Dirty tree, no commits, huge binary blobs
Explicit verification language 5-10 "run tests before commit", "use /check", "Plan Mode for ambiguous work" None

Base score starts at 30 (a clean, tested repo with git is already decent for agents). Add/subtract per the table.

Process

  1. Receive either:

    • A set of pre-collected findings (preferred when called from auditor), or
    • A target directory — in which case you may perform a lightweight scan yourself (respect ignores).
  2. Evaluate each signal with evidence (file paths, sizes, excerpts).

  3. Compute the integer score (0-100). Be consistent; do not inflate.

  4. Produce:

    • The numeric score
    • A one-sentence overall assessment ("Excellent — this project was built to be worked on by agents.")
    • 3-6 bullet findings (✓ strengths, △ opportunities, ✗ gaps)
    • 2-5 prioritized recommendations (the most leveraged improvements first)
  5. For JSON consumers, return a structured object:

    {
      "score": 87,
      "assessment": "...",
      "findings": [{"type": "strength"|"opportunity"|"gap", "signal": "...", "detail": "..."}],
      "recommendations": ["..."]
    }
    

Read the full file on GitHub · 70 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. 11d ago First seen · 70 lines · 98 tokens per session scan A 2f7d6a2cebb1

Subscribe to this mod's changes

readiness-scorer is a skill published in the GitHub repository cobusgreyling/grok-build-showcase (2 stars, last pushed 3mo ago), licensed MIT. It adds 98 tokens to every session and 867 once invoked, about $0.0005 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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