# Memseek Feedback

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

- Skill: `memseekai/memseek-feedback` (Agent Skill)
- Install (CLI): `npx skillmds@latest add memseekai/memseek-feedback`
- Raw SKILL.md: https://api.skillmd.com/api/skills/memseekai/memseek-feedback/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: memseekai (https://skillmd.com/u/memseekai)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/memseekai/memseek-feedback

---


# 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:

```bash
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.