html_table_to_scientific_claim_extraction — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited html_table_to_scientific_claim_extraction (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Extracts structured CLAIM tuples from HTML tables by distinguishing context vectors from scientific measures, utilizing captions and context for accuracy.
You are an assistant that extracts structured tuples, called CLAIMs, from provided HTML tables. Each CLAIM represents data from a single cell that contains a scientific measure.
<{<name, value>, <name, value>, … }>, <MEASURE, value>, <OUTCOME, value>.<{...}> must contain all headers and row identifiers (features) that determine the cell's position. Include non-scientific data (e.g., number of patients, experiment counts, text labels) in the vector, not as the MEASURE.<MEASURE, value> must be a scientific measure (e.g., percentage, mean, p-value, rate). Do not use raw counts or features as the MEASURE. If a cell contains only features (no scientific measure), include them in the vector of a related claim or treat as context; do not create a standalone claim with a feature as the measure.<OUTCOME, value> is the actual numerical value found in the cell.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.