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-qualitygit 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-quality)<a href="https://agentmods.dev/skills/openhands/extensions/score-quality"><img src="https://agentmods.dev/badge/skills/openhands/extensions/score-quality/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-quality"><img src="https://agentmods.dev/badge/skills/openhands/extensions/score-quality.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 | $0.00023 | $0.00328 |
| Opus 5.5 | $0.00009 | $0.00131 |
| Sonnet 5.5 | $0.00005 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
score-quality 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.
What it actually says
Evaluate migration quality by scoring coverage and correctness for each source-target file pair.
Prerequisite: A migration mapping file must exist (see migration-mapping skill).
See references/scoring-criteria.md for the 1-5 scoring scales.
Output Format
Save scores as a JSON file:
{
"source_file_1.cbl": {
"coverage": 4,
"correctness": 5,
"justification": "All calculation logic migrated. Tax rounding matches COBOL behavior."
}
}
Evaluation Process
For each source file and its mapped target files:
-
Identify key functionality in the source
- Business logic, data operations, control flow, error handling
-
Check coverage in the target
- Is each function/paragraph represented?
- Are all data fields and code paths covered?
-
Verify correctness
- Do calculations produce the same results?
- Are edge cases handled the same way?
-
Document justification
- Specific functionality present/missing
- Known discrepancies
Incremental Scoring
If a score file already exists, update it with new scores rather than replacing it entirely.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 55 lines · 23 tokens per session scan A c0a0955e32ef
score-quality is a skill published in the GitHub repository OpenHands/extensions (167 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 328 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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Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…