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OpenAI · By agentsope

4 skills found.
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1

Lifecycle SOP for per-model prompt artifacts — the compiled prompts, instructions, few-shot demos, edit-format pins, and embedding-bound indices that change behavior when the underlying LM, dataset…

agentsope/SkillAlchemy436—~8kAutomated safety check: PassMIT2 days ago
2

Tool skill — the first move in any LM-debugging session: dump the actual rendered prompt the framework sent to the model, before changing anything else.

agentsope/SkillAlchemy436—~8.4kAutomated safety check: PassMIT2 days ago
3

Pick an LM output format per (task x consumer x model) rather than by reflex: different formats carry different cognitive load (e.g.

agentsope/SkillAlchemy436—~7kAutomated safety check: PassMIT2 days ago
4

Decision protocol for making side-effectful agent tools idempotent — so when an LLM tool call is retried (timeout, framework resume, user re-run, model duplicate emit), the second call is a no-op…

agentsope/SkillAlchemy436—~8.4kAutomated safety check: PassMIT2 days ago