Individual skill

rem-reflect

Self Learning from this machine's Claude Code, Codex, Hermes, OpenClaw and Cursor sessions. Decide skill changes and lessons with accept/reject/tbd; recall lessons at session start.

skills/R-recursive-self-improvement/rem-reflect/skill/SKILL.md

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Observed behavior
Network or broad shell
Last checked
Nov 10, 2026

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864
Repository last updated
Nov 4, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

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# Self Learning

> **Before you use it.** Sno Station sets the sharing level when it installs, by mode: `full` for `agent-native` and
> `rem-enhanced`, `metadata-only` for `local-first`; it never overwrites a choice you already made. At `full`, this tool sends
> the text of your Claude Code, Codex, Hermes, OpenClaw and Cursor sessions and every installed skill to Sno's cloud. It uses your
> Claude and Codex login in place and copies only Cursor's login into its isolated home to label sessions. In `local-first` nothing is sent to Sno, but the
> text of a few sessions a night still goes to each session's own agent account when this tool asks it for lessons; Hermes and OpenClaw use their own login without a credential copy.
> "What a run reads, copies and uploads" below lists everything.
> Turn uploading off at any time with `sno station consent off`.

Self Learning (`rem-reflect`) reads this machine's Claude Code, Codex, Hermes, OpenClaw and Cursor sessions once a day. When the Sno Station
settings select `agent-native` or `rem-enhanced`, each session's own CLI (on the
host's default model) conservatively decides keep/drop and labels its outcome. Each completed run
is sent through `sno rem judge`; that command permits session and skill uploads only at full consent.
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