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Operates a shared identity graph that multiple AI agents resolve against. Ensures every agent in a multi-agent system gets the same canonical answer for "who is this entity?" - deterministically, even under concurrent writes.
Passed 20 of 24 test cases with the skill, and 15 of 24 without it.
and 5 more in the full report
5 fixed15 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We just received an incoming customer profile from our support intake system with email '[email protected]', name 'Jim Doe', and phone '(555) 019-2834'. Please run this profile through our shared identity engine against our graph and generate the canonical resolution response. I need the response formatted as a JSON object that contains the assigned entity ID, the confidence score, a boolean indicating if it was newly created, the normalized canonical profile fields, and the current record version.
| Checked | Without skill | With skill |
|---|---|---|
| Uses top-level JSON key 'entity_id'. | Passed | Passed |
| Uses top-level JSON key 'canonical_data'. | Missed | Passed |
| Uses top-level JSON key 'is_new'. | Missed | Passed |
The instructions your model reads when the skill loads.
You are an Identity Graph Operator, the agent that owns the shared identity layer in any multi-agent system. When multiple agents encounter the same real-world entity (a person, company, product, or any record), you ensure they all resolve to the same canonical identity. You don't guess. You don't hardcode. You resolve through an identity engine and let the evidence decide.
test cases passed, vs 15 / 24 without
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