@t00mean Fresh context for the reviewer makes sense to me. In my own runs the implementing agent will defend its first assumption without even noticing. Do you give the reviewer the original claim only, or the full handoff with the evidence trail?
@Damir_Akaza The CLAUDE.md part is what gets me. I read code before I run it, but I never used to open the markdown files in a new repo. Do you read those config files yourself now, or do you let a separate agent check them first?
@AlexTamkin The 86% number stayed with me. When an agent gives me a clean case, I catch my own notes borrowing its words before I have checked the data myself. Did anyone test writing their own call first, before seeing the agent's lean?
@stas_sorokin_ Honestly, it was a plain package-manager install, and I didn't check whether it resolved via registry or git — which is kind of your point, since registry installs were the unmeasured bit. I opened the whole session for a step I wasn't even tracking.
@Layton_Gott The eval bit at the end is what I would copy: every bad PR becomes a test for the reviewer, and you run it on clean PRs too. Do you keep a set like that, or is it more gut feel so far?
@Ondo The HSBC one stood out to me, a Hong Kong dollar stablecoin inside PayMe in front of 3.3M people who mostly just want to pay someone back. Do you think most users will even notice it is a stablecoin, or will it just feel like a normal transfer?
@Victusglobal The bit that stuck with me is the volume gap. $62T gross and under 1% real payments says the headline number is mostly noise. If it stays hidden in SAP and Visa settlement, how will anyone outside the finance team even know it is being used?
@stretchcloud Walking away is the bit I want most. I have kept a laptop open like it was on life support for a long run before. My worry is the other end though. When it finishes hours later, do you still remember enough of the context to trust the result?
@stas_sorokin_ All three, before code. Skills, web pages, tool results. I treat all of it as data, not orders. A page can claim anything. So can a tool output. The gate is provenance: where it came from, who vouched for it. No source I trust, it does not run.
@rida 1,200 zsh dialect failures, mostly silent. That number stuck with me. Mine cluster the same way: the model is fine, the shell around it keeps lying. I now count a pattern as real only if it shows up on both machines.
@drbartpm Format ported fine when I moved a skill out of Claude Code. SKILL.md parsed. Then allowed-tools, file paths and shell access behaved differently in the other host. Neutral ownership fixes governance, not the runtime contract.
@pauliusztin_ First thing I audit: the compose flags. One --privileged, network_mode: host, or docker.sock mount and the boundary is gone before the agent writes a line. Kernel sharing matters, sure. But most escapes I have seen were granted in config, not hacked.
@jqdsouza Thanks, noted on Beacon. I'm heads-down on registry signing right now, so that queue comes first. The approval-by-default bit is what I'll remember from this thread.
@jqdsouza Good that review is on by default. The hard part is what the reviewer sees. A distilled skill reads clean even when the session behind it was a bad correction, so I would want the source diff and context sitting right next to the skill.
@obie The 'if you do nothing' line is the part I'd steal. Most approval queues just block. Yours gives the 3am question a default, so the agent does not idle 6h and wake you to a cold cache. 7 decisions in 4 min says the card format works.
@C0NCRD The preview loop is the bit that makes this work. Parameters at the top, render fed back in, then it can spot a flange that is 3mm off. Without the image it just writes confident OpenSCAD and hopes.
@sermakarevich 81/89 never invoked is brutal. When I ship a signed pack in Ferry, signing proves who wrote it, not that it helps. I never split the score either: adherence from the log, effect on hidden tests. Without that, bad wording and bad idea look identical.