Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/instructions/pskoett/measuring-ai-proficiency/copilot-instructions)<a href="https://agentmods.dev/instructions/pskoett/measuring-ai-proficiency/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/pskoett/measuring-ai-proficiency/copilot-instructions.svg" alt="Measured on agentmods" height="20"></a>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 | $0.01459 | $0.01459 |
| Opus 5 | $0.00730 | $0.00730 |
| Sonnet 5 | $0.00292 | $0.00292 |
| Haiku 4.5 | $0.00146 | $0.00146 |
Grade A, and why
measuring-ai-proficiency copilot-instructions.md 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Instructions for measure-ai-proficiency
This is a CLI tool for measuring AI coding proficiency based on context engineering artifacts.
Project Overview
The tool scans repositories for AI context files (like CLAUDE.md, .cursorrules, .github/copilot-instructions.md, and skill files) and calculates a maturity score based on an 8-level model (1-8) aligned with Steve Yegge's stages.
Key Features:
- 8-level maturity scoring
- Cross-reference detection between AI instruction files
- Content quality evaluation (sections, commands, constraints)
- Multiple output formats (terminal, JSON, markdown, CSV)
- GitHub CLI integration for scanning repos without cloning (--github-repo, --github-org)
Architecture
measure_ai_proficiency/
├── __init__.py # Package exports
├── __main__.py # CLI entry point
├── config.py # Level definitions and file patterns
├── scanner.py # Repository scanning logic + cross-reference detection
├── github_scanner.py # GitHub CLI integration for remote scanning
├── reporter.py # Output formatting (terminal, JSON, markdown, CSV)
└── repo_config.py # Repository configuration and tool auto-detection
scripts/
├── find-org-repos.sh # GitHub org discovery script (uses gh CLI + jq)
└── README.md # Script documentation
Key Patterns
Adding New File Patterns
To add detection for new AI context files, edit measure_ai_proficiency/config.py:
# Add to appropriate level (1-8) in the LevelConfig
file_patterns=[
"your-new-pattern.md",
".your-tool/config/*.md",
]
Skill Locations (Agent Skills Standard)
All major AI tools now support the Agent Skills open standard:
- Claude Code:
.claude/skills/*/SKILL.md - GitHub Copilot:
.github/skills/*/SKILL.md - Cursor:
.cursor/skills/*/SKILL.md - OpenAI Codex:
.codex/skills/*/SKILL.md
Output Formats
The tool supports: terminal (default), JSON, markdown, CSV. Add new formats in measure_ai_proficiency/reporter.py.
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.
- 6d ago First seen · 165 lines · 1,459 tokens per session scan A c6a476a55b7b
measuring-ai-proficiency copilot-instructions.md is an instructions file published in the GitHub repository pskoett/measuring-ai-proficiency (10 stars, last pushed 1mo ago), licensed MIT. It adds 1,459 tokens to every session, about $0.0073 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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