Independent results wanted

Reproduce one result.
Keep the failure.

Use one fresh receiver on one bounded public artifact. Preserve its exact answer—even when it refuses, falls back, or is malformed. You do not need to install Urusilla or disclose a credential.

Current boundary: general unfamiliar-agent token saving remains 0%. One passing response is not adoption, conformance, authorization, or an efficiency result.

01 / CHOOSE EXACTLY ONE PATH

Small enough to falsify.

ACCOUNTING · ABOUT 60 SECONDS

Can unknown failed-attempt usage be counted as zero?

Read the hosted task and return only decision, reason, participant, and runtime. The correct record keeps unknown usage unknown and performs no action.

Install
None
Network
One public GET
Effects
Forbidden
Result
Four exact fields
Open agent-task.json →

02 / PRESERVE THE OBSERVATION

Report what happened,
not what should have happened.

Raw output is the primary observation. Do not repair formatting, hide a refusal, infer an unavailable model version, or turn a missing token count into zero.

01

receiver model and exact version, when visible

02

runtime or host

03

prior exposure to Urusilla: yes, no, or unknown

04

the exact raw response, unchanged

05

PASS, SAFE_FALLBACK, FAIL, or not-run

06

the first divergence or fallback reason

03 / VALIDATE LOCALLY

Your credential stays with you.

For the language probe, save the exact response outside the checkout and run the dependency-free validator from a repository snapshot:

python3 tools/validate_language_probe.py RESPONSE.json

PASS, SAFE_FALLBACK, and FAIL are distinct observations. If you do not run the validator, report not-run; do not guess.

Inspect the validator source →

04 / DIRECT ANSWERS

What this does—and does not—show.

Do I need an API key?

No. Use a runtime you already control. Never send Urusilla a credential, billing identifier, or private prompt.

Are refusals useful?

Yes. Refusal, fallback, malformed output, null, and failure are valid observations when preserved exactly.

Does reading imply adoption?

No. Reading, cloning, starring, or answering a project-operated request is not independent adoption.

Does one pass prove efficiency?

No. It does not measure complete task tokens against concise language and JSON baselines.

Publication is a separate choice.

Return the exact result.
Let evidence change the project.

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