Memseek Feedback

Record success, failure, or a correction against the Memseek context used for the latest request.

memseekai Updated

File contents

Send context feedback

Attach $ARGUMENTS to the latest bound Memseek artifact use for this project. This is a learning signal; it does not directly edit or promote a procedure.

Parse the first word as the feedback kind and the remainder as a concrete comment. If the kind is missing, ask for one of thumbs_up, thumbs_down, correction, task_success, or task_failure. Then run:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/memseek_doctor.py" feedback \
  --kind "<kind>" --comment "<comment>" \
  --session-id "<exact conversation session from SessionStart>"

Use normal shell argument safety: pass values as separate quoted arguments and do not interpolate them into executable shell syntax. The session id prevents feedback from a parallel terminal attaching to the wrong render. Report the artifact-use id and whether the signal was sent or queued. Never claim feedback automatically changed a live procedure.

memseekai/memseek/tree/main/integrations/claude-code/skills/memseek-feedback commit c942976316

Frequently asked questions

npx skillmds@latest add memseekai/memseek-feedback