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Token accounting across a pipeline: where the spend actually accrues, caching that works, and the retry loop nobody budgeted for.
Passed 20 of 22 test cases with the skill, and 20 of 22 without it.
1 fixed20 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
When an LLM endpoint returns a 529 overloaded error, our pipeline immediately retries 10 times in a tight loop with zero delay. Explain how adding exponential backoff and jitter impacts both server load and retry token accumulation.
| Checked | Without skill | With skill |
|---|---|---|
| explains that tight retry loops exacerbate provider rate limits and inflate token spend on repeated failed attempts | Missed | Passed |
The instructions your model reads when the skill loads.
Token accounting across a pipeline: where the spend actually accrues, caching that works, and the retry loop nobody budgeted for.
test cases passed, vs 20 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.