data-corrections-writer — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited data-corrections-writer (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.
Writes a precise, publication-standard corrections notice for a data error published in an article — stating clearly what was wrong, what the correct figure is, and how the error affected the reported story.
Required: The original published figure (as it appeared in print or online). The correct figure. The article headline or title and publication date. A brief explanation of how the error occurred (if known — this can be "we do not know how this error occurred"). Optional: Whether the error affects the story's main conclusion (yes / no / partially); whether a related chart, table, or infographic also needs correction; the publication's standard corrections format or style.
A corrections notice of two to five sentences. Standard structure: (1) The article title and date, (2) what was wrong and where it appeared, (3) what the correct figure is, (4) whether the error affects the article's conclusions. Optionally: a note on what caused the error if this is known and disclosable. Tone: direct, factual, no hedging. Plain language.
Original published figure: "North Coastal Authority had a year-on-year increase in orthopaedic waiting times of 32%" Correct figure: 22% Article: "Waiting time crisis: the regions left behind" published 14 March 2026 Where in article: Second paragraph and repeated in chart caption How error occurred: A data processing error in the original spreadsheet transposed two digits in the percentage change column Does it affect the conclusion? No — the finding that North Coastal had the highest rate of increase among all authorities remains correct even with the corrected figure
Correction
In our article "Waiting time crisis: the regions left behind" (14 March 2026), we stated that North Coastal Authority recorded a year-on-year increase in orthopaedic waiting times of 32%. The correct figure is 22%. This error appeared in the second paragraph of the article and in the caption of the accompanying chart; both have been updated. The error resulted from a data processing mistake in which two digits in the percentage change calculation were transposed. The correction does not affect the article's central finding: North Coastal Authority recorded the highest rate of increase among all 47 health authorities analysed, and that finding holds with the corrected figure.
Corrected: 16 March 2026
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.