measuring-ai-proficiency: Skill for Claude Code

.claude/skills/verify-gate/SKILL.md

verify-gate is a skill for Claude Code from pskoett/measuring-ai-proficiency. It costs 76 tokens per session (1,883 once invoked), scanned A, original, MIT.

A verification step for software changes that runs the repository’s compile, test, and lint checks. It sits between implementation and a later code-quality review.

In plain words
What is it for?
Use it after implementation or fixes to discover project commands, run checks, diagnose failures, and confirm a green result.
Why use it?
It provides a machine-checked signal that the change works and sends failures back for fixing before review.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

This is pskoett/measuring-ai-proficiency's own configuration. It tells Claude Code how to work on measuring-ai-proficiency itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything measuring-ai-proficiency configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/validate_schema.py --strict.

Reuse

Borrowing it

Nothing to install: this file belongs to pskoett/measuring-ai-proficiency. 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/pskoett/measuring-ai-proficiency/main/.claude/skills/verify-gate/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/pskoett/measuring-ai-proficiency

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 verify-gate

README.md
[![agentmods](https://agentmods.dev/badge/skills/pskoett/measuring-ai-proficiency/verify-gate/github.svg)](https://agentmods.dev/skills/pskoett/measuring-ai-proficiency/verify-gate)
Your own site
<a href="https://agentmods.dev/skills/pskoett/measuring-ai-proficiency/verify-gate"><img src="https://agentmods.dev/badge/skills/pskoett/measuring-ai-proficiency/verify-gate/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 verify-gate

Your own site · 80×15
<a href="https://agentmods.dev/skills/pskoett/measuring-ai-proficiency/verify-gate"><img src="https://agentmods.dev/badge/skills/pskoett/measuring-ai-proficiency/verify-gate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,883 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 $0.00076 $0.01883
Opus 5 $0.00038 $0.00941
Sonnet 5 $0.00015 $0.00377
Haiku 4.5 $0.00008 $0.00188

Measured 9d ago against content hash d4377c845276, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

verify-gate 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 9d 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/skills/verify-gate/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verify Gate

Machine verification gate between implementation and quality review. Runs the project's compile, test, and lint commands. If any fail, enters a fix loop. If all pass, unblocks simplify-and-harden.

This is the inner loop's verify step. Without it, the agent hands off code with zero machine signal about whether it actually works.

When to Use

  • After any implementation work completes, before signaling "done"
  • Before running simplify-and-harden
  • After fixing audit findings from agent-teams-simplify-and-harden
  • Any time you want a machine-verified green signal

Pipeline Position

[implementation] → verify-gate → simplify-and-harden → self-improvement
                   ↻ fix loop

Step 1: Discover Project Commands

Read the project's configuration to find verification commands. Check these sources in order:

  1. Project instruction files (CLAUDE.md, AGENTS.md, .github/copilot-instructions.md) — look for a ## Verification or ## Test Commands section
  2. package.jsonscripts.test, scripts.lint, scripts.typecheck, scripts.build. Also check for a bun.lock / bun.lockb alongside it → prefer bun run <script> over npm run <script> when present. Check for pnpm-lock.yaml → prefer pnpm run. Check for yarn.lock → prefer yarn.
  3. Makefile / Justfiletest, lint, check, build targets
  4. Cargo.tomlcargo build, cargo test, cargo clippy
  5. pyproject.toml / setup.cfgpytest, mypy, ruff
  6. go.modgo build ./..., go test ./..., go vet ./...
  7. deno.json / deno.jsoncdeno task <name> for any defined tasks

If no commands are discoverable, ask the user once and suggest they add a ## Verification section to their project instruction files (CLAUDE.md, AGENTS.md, or equivalent) for future sessions:

## Verification

- Build: `npm run build`
- Test: `npm test`
- Lint: `npm run lint`
- Type check: `npx tsc --noEmit`

Step 2: Run Verification

Read the full file on GitHub · 202 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. 9d ago First seen · 202 lines · 76 tokens per session scan A d4377c845276

Subscribe to this mod's changes

verify-gate is a skill published in the GitHub repository pskoett/measuring-ai-proficiency (11 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 1,883 once invoked, about $0.0004 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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