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.
npx agentmods add commands/pr-pm/prpm/quick-scoregit clone --depth 1 https://github.com/pr-pm/prpmWhat 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 | $0.00006 | $0.00176 |
| Opus 5 | $0.00003 | $0.00088 |
| Sonnet 5 | $0.00001 | $0.00035 |
| Haiku 4.5 | $0.00001 | $0.00018 |
Grade A, and why
quick-score 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 2d 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.
What it actually says
Quick Karen Score
Fast repository assessment (using Haiku for speed):
Rapid Scan
Count:
- Total files
- Lines of code
- TODO comments
- Test files
Quick Scores (0-20 each)
🎭 Bullshit Factor
First impression of over-engineering
⚙️ Actually Works
Does it look functional?
💎 Code Quality
Quick readability check
✅ Completion
TODO count analysis
🎯 Practical Value
Educated guess (no deep market research)
Total: X/100
Grade: [Tier]
Note: This is a quick assessment. Run /karen-review for comprehensive analysis with market research.
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.
- 2d ago First seen · 41 lines · 6 tokens per session scan A 9124c11f7e00
quick-score is a command published in the GitHub repository pr-pm/prpm (120 stars, last pushed 2mo ago), licensed MIT. It adds 6 tokens to every session and 176 once invoked, about $0.0000 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.
Other commands, from other repositories
stripe-backend
Centralized LLM prompt instructions for Copilot and Cursor, including scripts to convert and sync rules for Python, React, Shell, and TypeScript. Designed for rapid reuse and contribution across projects.
react-router-client-loader
Do this in a clientLoader and use loaderData to render the component. DO NOT create mock data, new interfaces, or mock data loader functions. Instead, assume loaderData has all of the data you need to render the component.
react
Apply React with TypeScript best practices.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.