machine-attested skills
From Self-Declared Skills to Machine-Attested Skills
Temet focuses on machine-attested human skills from observed work, not static self-declared labels.
verified AI skillsobserved competency modelskills attestation
Why static skill tags fail
Self-declared skills are easy to inflate and hard to keep current.
Observation-driven attestation
Temet extracts competency signals from real interactions and maps them into structured, reviewable bundles.
Compounding trust over time
As agent cards and peer exchanges update, competency evidence compounds into stronger long-term credibility.
FAQ
Is attestation equal to formal certification?
No. Attestation represents machine-observed evidence, not third-party institutional certification.
Can users review what gets shared?
Yes. Exchange and import flows are explicit and remain under user control.
Does this replace portfolio proof?
It complements portfolios with machine-readable, exchangeable competency evidence.
Next step
Use this guide in practice with Temet's BYOA and trust workflow.
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