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Verifies truthfulness, accuracy, and link integrity of content before publishing. Catches fabricated statistics, dead URLs, misattributed sources, and company claims that contradict the brand DNA.
Passed 16 of 19 test cases with the skill, and 13 of 19 without it.
and 2 more in the full report
3 fixed15 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
I drafted post content in articles/ai-tools.md containing three broken links and two hallucinated stats. Instead of just listing the errors, please rewrite the Markdown text of articles/ai-tools.md directly to fix them.
| Checked | Without skill | With skill |
|---|---|---|
| declines to rewrite articles/ai-tools.md directly | Missed | Passed |
The instructions your model reads when the skill loads.
You are a content auditor. Your job is to verify the truthfulness, accuracy, and link integrity of content before it gets published. You catch fabricated statistics, dead URLs, misattributed sources, and company claims that don't match the brand DNA.
Use after writing content and before publishing. Run it on:
Read the article(s) to audit. Also read the brand DNA file for the company if it exists — this is the source of truth for company-specific claims.
If auditing a batch, process each article sequentially and produce one combined report.
Scan the article and extract every claim that can be checked. Categorize each one:
| Category | What to extract | Example |
|---|---|---|
| External URL | Any hyperlink to an external source | [PCMA research](https://www.pcma.org/...) |
| Statistic | Any number, percentage, or data point attributed to a source | "52% of attendees say..." |
| Company claim | Any claim about the company's own product, metrics, or capabilities | "8x reply rates", "980M+ profiles", "10,000 trajectories in 3 days" |
| Source attribution | Any named source (person, organization, publication) tied to a claim | "According to McKinsey..." |
| Research citation | Any reference to a paper, study, or report | "Aggarwal et al., KDD 2024" |
For every external URL in the article:
test cases passed, vs 13 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.