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▲ swiftcoder 5 hours ago

Sounds good in theory, but are there evaluations of whether or not it actually works?

▲robbomacrae 5 hours ago | parent | next [-]

The answer to that is no. A lot of these are released on vibes and showing that it does what it says it does. For most organizations that care about processes and procedures thats... enough? I've worked on agentic development in enterprise and they just want their way to stamp their old methods on to the new agentic world so it can pass through their release hoops.

I've tried to benchmark them the most common public skills including those for ADLC (ie SuperPowers) couple of times here https://orcabot.com/benchmarks/agent-skills. Annoyingly I haven't been able to release one in a while because its been next to impossible to stop the new frontier models from cheating one way or another.

▲swiftcoder an hour ago | parent [-]

> A lot of these are released on vibes

Yeah, I kind of figured. I was hoping was AWS-affiliated lab would be a little more rigorous

▲jiaosdjf 4 hours ago | parent | prev | next [-]

Probably the greatest problem in AI right now is proof / benchmarking

I check every benchmark site weekly, compare harnesses and models, and its still pretty much just vibes

▲CharlieDigital 5 hours ago | parent | prev | next [-]

My org has something similar.

Evals showed that speed and token use improved when it was removed.....

The models have improved and internalized some of these principles.

They still have value, IMO, because they help improve consistency (at the expense of speed and cost).

▲Throw12349067 5 hours ago | parent | prev | next [-]

I am one of the organisational victims who have been trialling this.

My assessment has been just use the native harness.

▲blarelewis741 an hour ago | parent | prev [-]

[flagged]