A Credly skill checkmark means a skill label has been mapped to the Pearson skills ontology. It does not mean that skill was independently examined, that the credential is fully validated, or that the person holds a related job. Keep the narrower label on any report you write: taxonomy alignment.
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Read the whole badge record before the checkmark
Start with the underlying badge record, not the small green tick. A full Open Badges record can include the issuer, the criteria, evidence and dates. A plain badge image on its own may carry none of that verifiable metadata. The checkmark tells you one narrow thing about a skill label; the record around it tells you what the badge is, who issued it and when. If the record is absent, private or ambiguous, write that limit down and stop rather than filling the gap. [Credly: imported credentials and inferred skill labels]
Three different claims live in one badge
A badge page can mix three kinds of information. First, the earned credential: the issuer, criteria and dates that establish what was awarded. Second, the skill labels, which may come from badge metadata or may be inferred from the title or description. Third, the checkmark, which signals alignment with the Pearson ontology. Only the first is evidence of an award; the second is a label, and the third is a mapping decision. [Credly: imported credentials and inferred skill labels]
| observation | limit | next step |
|---|---|---|
| Skill has a green checkmark | Shows taxonomy alignment only, not an exam or a job | Label it as taxonomy alignment |
| Skill listed but inferred from title text | May not reflect the issuer's stated criteria | Check whether the skill appears in the badge metadata |
| Badge marked unverified | Required standard information is missing; a metadata limit, not an accusation | Note the gap and the unresolved question |
| Full record with issuer, criteria, evidence and dates | Supports the award itself, not the person's current work | Keep the claim to what the record shows |
The unverified flag is a metadata limit
Credly can mark imported badges as unverified when required standard information is missing. That is a statement about what the record lacks, not by itself an allegation of fraud. Treat it the same way you treat other gaps: as a precise limit on what the source can support, not as a reason to speculate about the person. [Credly: imported credentials and inferred skill labels]
Keep the narrow label when a report widens it
Reports often turn checkmarks into phrases like independently tested expertise or current employment. When that happens, restore the narrower wording. A taxonomy alignment checkmark is not a second examination, not a verification state for the whole credential and not proof of a job title. A hypothetical report might say a person holds a data credential plus checkmarked skill labels; the rewrite would read that the issuer awarded a credential, that certain skills were mapped to a taxonomy, and that no separate testing of those skills is shown.
- Replace tested expertise with taxonomy-aligned skill label
- Replace verified professional with credential issued by the named issuer
- Replace employed in a field with no employment claim supported here
Stop at the limit instead of bridging it
If the source is missing, private, mismatched or ambiguous, record the exact limit and stop. Do not seek private records and do not treat a similar name, photo or profile as identification. A reader who needs more than the public record supports should ask the credential holder directly rather than inferring an answer from the artefact.
A worksheet for one badge artifact
This worksheet is editorial advice for organising your own reading, not a platform feature. For each badge, write down what was awarded, who issued it, which skills came from metadata, which were inferred, and which carry a checkmark. Then write the widest claim the record supports and the point where it stops.
- Earned element: issuer, criteria, date
- Skill source: metadata or inferred from title or description
- Checkmark: taxonomy alignment only
- Limit: missing information, private record, mismatch
- Unsupported claim: crossed out or reworded to the narrow label
A couple more questions
Does a Credly skill checkmark mean the skill was tested?
No. The checkmark means the skill label aligns with the Pearson skills ontology. It is not an additional examination and not proof of employment.
Is an unverified badge the same as a fraudulent one?
No. Unverified means required standard information is missing from the imported record. That is a metadata validation limit, not by itself an allegation of fraud.
Where do the skill labels on a badge come from?
They may come from the badge metadata, or they may be inferred from the title or description. The difference matters when you decide how much weight to give a label.
Sources & editorial notes
Official references checked on October 24, 2026. Checklists, comparison tables and example wording are DateClues editorial tools, not official tests or validated risk scores.
General information. No guide or tool can certify a person’s identity, intentions or safety. Read our editorial standards.