Aa Benchmarking Framework
Security checks across static analysis, malware telemetry, and agentic risk
Overview
This is a draft, instruction-only LLM benchmarking guide with no code, install steps, credentials, or network access; the only notable items are minor metadata and memory-clarity notes.
This appears safe from the provided artifacts, but it is a draft instruction-only skill. Before relying on it for production benchmarking, clarify the Python requirement, check any associated memory, and review any future implementation or LangFuse integration artifacts.
Static analysis
No static analysis findings were reported for this release.
VirusTotal
VirusTotal findings are pending for this skill version.
Risk analysis
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
A user may need local Python for a future implementation even though the registry does not declare it.
The skill document names a Python binary even though the registry summary says there are no required binaries and there is no install spec or code. This is a metadata clarity issue, not evidence of hidden execution.
requires:\n env: []\n bins:\n - python3
Clarify the registry requirement or remove the unused Python requirement; review any future Python helper files before enabling them.
If prior context is associated with the skill, it could influence future benchmarking recommendations, although no sensitive memory use is shown here.
The artifact indicates one memory reference, but does not describe memory contents, storage, retrieval, or any instruction to rely on it.
**Memory references:** 1
Review or clear any associated memory if you do not want prior benchmark context reused.