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 skills add OpenHands/extensions --skill score-stylegit clone --depth 1 https://github.com/OpenHands/extensionsWrote 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/skills/openhands/extensions/score-style)<a href="https://agentmods.dev/skills/openhands/extensions/score-style"><img src="https://agentmods.dev/badge/skills/openhands/extensions/score-style/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.
<a href="https://agentmods.dev/skills/openhands/extensions/score-style"><img src="https://agentmods.dev/badge/skills/openhands/extensions/score-style.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00669 |
| Opus 5.5 | $0.00009 | $0.00268 |
| Sonnet 5.5 | $0.00004 | $0.00134 |
| Haiku 4.5 | $0.00002 | $0.00067 |
Grade A, and why
score-style 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 1mo 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evaluate migrated code against style guidelines and best practices.
This skill scores code quality aspects that are independent of functional correctness — focusing on readability, maintainability, and adherence to conventions.
Default Scoring Criteria
Unless a custom rubric is provided, score on these attributes (1-5 scale):
Naming Conventions (1-5)
- 1: Inconsistent or meaningless names
- 3: Mostly follows conventions, some issues
- 5: Clear, consistent, idiomatic names
Code Organization (1-5)
- 1: Monolithic, hard to navigate
- 3: Some structure, could be cleaner
- 5: Well-organized, logical structure
Error Handling (1-5)
- 1: Missing or swallowed exceptions
- 3: Basic error handling present
- 5: Comprehensive, appropriate error handling
Documentation (1-5)
- 1: No documentation
- 3: Some documentation, inconsistent
- 5: Thorough, helpful documentation
Idiomaticity (1-5)
- 1: Non-idiomatic, smells like translated code
- 3: Mostly idiomatic, some foreign patterns
- 5: Fully idiomatic, natural code
Output Format
Save scores as a JSON file:
{
"target_file_a.java": {
"naming_conventions": 4,
"code_organization": 3,
"error_handling": 5,
"documentation": 4,
"idiomaticity": 4,
"justification": "Good naming and error handling. Some methods could be extracted for better organization."
}
}
Custom Rubric
If a custom rubric is provided, use its attributes and scoring criteria instead of the defaults. The rubric should define:
- Attribute names
- Score meanings for each level (1-5)
- Examples of good/bad code for each attribute
Evaluation Guidelines
What to Look For
Positive indicators:
- Consistent naming (camelCase for Java, snake_case for Python)
- Appropriate class/method sizes
- Single responsibility principle followed
- Meaningful comments (not obvious ones)
- Standard library usage over custom implementations
- Defensive programming practices
Negative indicators:
- Literal translations (COBOL-style Java)
- God classes or methods
- Magic numbers
- Excessive comments or no comments
- Reinvented wheels
- Swallowed exceptions
- Hardcoded values
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.
- 1mo ago First seen · 107 lines · 22 tokens per session scan A 7c461adc030d
score-style is a skill published in the GitHub repository OpenHands/extensions (167 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 669 once invoked, about $0.0001 per session on Opus 5.5. 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.
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