feat(plugins): ship SkillOpt-Sleep for Claude Code, Codex, and Copilot

Restructure into plugins/{claude-code,codex,copilot}/ — one engine, three thin shells, all calling the shared plugins/run-sleep.sh -> python -m skillopt_sleep. - claude-code/: existing plugin moved here; runner delegates to the shared launcher (fixes repo-root resolution after the move). - codex/: ~/.codex/prompts/sleep.md custom prompt + ~/.agents/skills SKILL.md + install.sh + AGENTS.md hint — Codex's documented, stable extension surfaces. - copilot/: a stdlib-only MCP server (mcp_server.py) exposing sleep_* tools, plus mcp-config.example.json and a copilot-instructions snippet. Verified end to end (initialize -> tools/list -> tools/call returns real engine output). - plugins/README.md overview table; main README News + a dedicated SkillOpt-Sleep section; pyproject lists skillopt_sleep as a first-class package. Decoupling emphasized throughout: open-source tool (skillopt_sleep/) with zero dependency on the research package. 29 tests pass; all three shells resolve. Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>
2026-06-08 14:31:52 +00:00
parent b02ffc2c99
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+{
+  "$schema": "https://anthropic.com/claude-code/marketplace.schema.json",
+  "name": "skillopt-sleep",
+  "description": "SkillOpt-Sleep: give your local Claude agent a nightly sleep cycle that reviews past sessions and consolidates validated memory + skills.",
+  "owner": {
+    "name": "Yifan Yang",
+    "email": "yifanyang@microsoft.com"
+  },
+  "plugins": [
+    {
+      "name": "skillopt-sleep",
+      "description": "Nightly offline self-evolution: harvest your past Claude Code sessions, replay recurring tasks on your own API budget, and consolidate what the agent learns into validated CLAUDE.md memory and SKILL.md skills — behind a held-out gate, staged for your review.越用越好用. Synthesizes SkillOpt (validation-gated skill optimization), Claude Dreams (offline memory consolidation), and agent sleep/consolidation.",
+      "author": {
+        "name": "Yifan Yang"
+      },
+      "category": "productivity",
+      "source": {
+        "source": "git-subdir",
+        "url": "https://github.com/microsoft/SkillOpt.git",
+        "path": "skillopt-sleep-plugin",
+        "ref": "main"
+      },
+      "homepage": "https://github.com/microsoft/SkillOpt"
+    }
+  ]
+}
@@ -0,0 +1,22 @@
+{
+  "name": "skillopt-sleep",
+  "description": "Give your local Claude agent a nightly 'sleep cycle': it reviews your past sessions offline, replays recurring tasks on your own API budget, and consolidates what it learns into validated memory (CLAUDE.md) and skills (SKILL.md).越用越好用 — gets better the more you use it. Synthesizes SkillOpt (validation-gated skill optimization), Claude Dreams (offline memory consolidation), and agent sleep/consolidation.",
+  "version": "0.1.0",
+  "author": {
+    "name": "Yifan Yang",
+    "email": "yifanyang@microsoft.com"
+  },
+  "homepage": "https://github.com/microsoft/SkillOpt",
+  "repository": "https://github.com/microsoft/SkillOpt",
+  "license": "MIT",
+  "keywords": [
+    "skillopt",
+    "self-improvement",
+    "memory-consolidation",
+    "dreams",
+    "sleep",
+    "skills",
+    "continual-learning",
+    "offline-optimization"
+  ]
+}
@@ -0,0 +1,138 @@
+# SkillOpt-Sleep (Claude Code plugin)
+
+> Give your local Claude agent a **sleep cycle**. Every night it reviews your
+> past sessions offline, replays your recurring tasks on your own API budget,
+> and consolidates what it learns into **validated** memory (`CLAUDE.md`) and
+> skills (`SKILL.md`). Your agent gets better the more you use it — no
+> model-weight training.
+
+SkillOpt-Sleep is the **deployment-time** companion to
+[SkillOpt](https://github.com/microsoft/SkillOpt). SkillOpt trains a skill
+offline on a benchmark; SkillOpt-Sleep applies the same discipline to *your own
+daily usage*: bounded text edits, accepted only through a held-out validation
+gate, with rejected edits kept as negative feedback.
+
+It synthesizes three ideas:
+
+| Idea | Contribution |
+|---|---|
+| **SkillOpt** | skill/memory = trainable text; bounded add/delete/replace edits; **held-out gate** keeps only changes that help. |
+| **Claude Dreams** | offline consolidation over past sessions; input never mutated; output **reviewed then adopted**. |
+| **Agent sleep** | periodic offline replay turns short-term episodes into long-term skill. |
+
+## What it does (one "night")
+
+```
+harvest ~/.claude transcripts → mine recurring tasks → replay offline
+   → consolidate (reflect → bounded edit → GATE) → stage proposal → (you) adopt
+```
+
+Nothing live is modified until **you** run `/sleep adopt` (the Dreams "review,
+then adopt or discard" contract). Every adopt backs up the prior file first.
+
+## Install
+
+**Requirements:** Python ≥ 3.10, and the `claude` CLI (and/or `codex` CLI) on PATH.
+
+```bash
+# 1) get the code (the plugin ships inside the SkillOpt repo)
+git clone https://github.com/microsoft/SkillOpt.git
+cd SkillOpt
+
+# 2) add the plugin to Claude Code as a local marketplace
+/plugin marketplace add ./skillopt-sleep-plugin
+/plugin install skillopt-sleep@skillopt-sleep
+
+# 3) verify
+/sleep status
+```
+
+The plugin's bundled runner (`scripts/sleep.sh`) auto-selects a Python ≥ 3.10
+interpreter and calls the `skillopt_sleep` engine in the repo. No `pip install`
+is required for the default `mock` backend or for `claude`/`codex` backends —
+they shell out to the CLIs you already have.
+
+## Quick start
+
+```bash
+# from inside any project you use with Claude Code:
+/sleep dry-run     # safe preview: what it would learn, no changes staged
+/sleep run         # full cycle: stages a reviewed proposal (still no live edits)
+/sleep status      # see history + the latest staged proposal
+/sleep adopt       # apply the staged proposal to CLAUDE.md / SKILL.md (with backup)
+```
+
+Or call the engine directly (Python ≥ 3.10):
+
+```bash
+python -m skillopt_sleep run --project "$(pwd)" --scope invoked --backend mock
+python -m skillopt_sleep run --project "$(pwd)" --backend claude   # real lift via Claude
+python -m skillopt_sleep run --project "$(pwd)" --backend codex    # real lift via Codex
+```
+
+Default backend is **`mock`** — deterministic, no API spend — so you can try the
+plumbing for free. Switch to `--backend claude` or `--backend codex` for genuine
+improvement on your own budget.
+
+## Does it actually improve? (real models, public benchmark)
+
+SkillOpt-Sleep is validated against [gbrain-evals](https://github.com/garrytan/gbrain-evals)'
+public `skillopt-v1` suite — the same benchmark gbrain scores its own skill
+optimizer against. We take a deliberately **deficient** skill and run one sleep
+night; held-out scoring is done by a local rule judge (no judge-API, no way to
+grade its own homework).
+
+| Backend | Seed | Held-out before → after | Nights |
+|---|---|---|---|
+| **Claude (Haiku 4.5)** | brief-writer | **0.00 → 1.00** | 1 |
+| **Codex** | brief-writer | **0.00 → 1.00** | 2 |
+
+Both took a brief-writer with no risks section / no confidence level and, within
+1–2 nights, proposed gated edits that lifted the held-out score to perfect —
+into the protected `LEARNED` block, nothing else touched. The Codex 2-night
+trace even shows the optimizer **diagnosing its own residual failure** and
+adding a meta-rule to fix it. Full writeup + reproduction:
+[`docs/sleep/real_api_results.md`](../docs/sleep/real_api_results.md).
+
+Reproduce:
+
+```bash
+git clone https://github.com/garrytan/gbrain-evals /tmp/gbrain-evals
+python -m skillopt_sleep.experiments.run_gbrain --backend claude --model haiku \
+  --seeds brief-writer --data-root /tmp/gbrain-evals/eval/data/skillopt-v1 \
+  --nights 1 --limit-replay 3 --limit-holdout 3
+python -m skillopt_sleep.experiments.run_gbrain --backend codex \
+  --seeds brief-writer --data-root /tmp/gbrain-evals/eval/data/skillopt-v1 \
+  --nights 1 --limit-replay 3 --limit-holdout 3
+```
+
+## Deterministic proof (no API, no keys)
+
+```bash
+python -m skillopt_sleep.experiments.run_experiment --persona researcher --assert-improves
+python -m skillopt_sleep.experiments.run_experiment --persona programmer  --assert-improves
+```
+
+Each prints the held-out score rising from baseline toward 1.0 as the gate
+accepts the general rules your tasks need, and confirms the gate **rejects** an
+injected harmful edit. Recorded output: [`docs/sleep/experiment_results.md`](../docs/sleep/experiment_results.md).
+
+## Schedule it nightly
+
+```bash
+"${CLAUDE_PLUGIN_ROOT}/scripts/install-cron.sh" "$(pwd)"   # prints a crontab line; installs nothing
+```
+
+## Safety
+
+- **Read-only** harvest of `~/.claude`. `mock` replay has no side effects.
+- Proposals are **staged**, never auto-applied (unless you opt in with `--auto-adopt`).
+- Every adopt writes a backup under the staging dir's `backup/`.
+- Per-night **token/task budget caps**; secrets redacted from prompts.
+- `fresh` replay (Phase 3) runs only in throwaway git worktrees.
+
+## Status
+
+Phase 1 (engine + deterministic experiment + plugin surface) is complete.
+Phase 3 adds the real-API miner/judge and `fresh` worktree replay. See
+[`docs/superpowers/specs/2026-06-07-skillopt-sleep-claude-code-plugin-design.md`](../docs/superpowers/specs/2026-06-07-skillopt-sleep-claude-code-plugin-design.md).
@@ -0,0 +1,63 @@
+---
+description: Run or manage the SkillOpt-Sleep self-evolution cycle (review past sessions, replay tasks offline, consolidate validated memory + skills)
+argument-hint: "[run | dry-run | status | adopt | harvest] (default: status)"
+allowed-tools: Bash, Read
+---
+
+# /sleep — SkillOpt-Sleep nightly self-evolution
+
+You are driving **SkillOpt-Sleep**: a tool that lets this user's Claude agent
+improve offline by reviewing past sessions, replaying recurring tasks, and
+consolidating what it learns into **validated** memory (`CLAUDE.md`) and skills
+(`SKILL.md`). It is gated like SkillOpt: a change is kept only if it improves a
+held-out replay score, and nothing live is modified until the user adopts it.
+
+## Requested action: $ARGUMENTS
+
+(If `$ARGUMENTS` is empty, treat it as `status`.)
+
+## How to run it
+
+The engine is the `skillopt_sleep` Python package in this repo. Use the
+**plugin's bundled runner** so the right interpreter and repo are on the path:
+
+```bash
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" <action> --project "$(pwd)" --scope invoked
+```
+
+`<action>` is one of:
+
+| action    | what it does |
+|-----------|--------------|
+| `status`  | show how many nights have run + the latest staged proposal (READ-ONLY) |
+| `dry-run` | harvest → mine → replay → report, but **stage nothing** (safe preview) |
+| `run`     | full cycle: also **stage** a reviewed proposal (still does NOT touch live files) |
+| `adopt`   | apply the latest staged proposal to live `CLAUDE.md` / `SKILL.md` (backs up first) |
+| `harvest` | debug: print the recurring tasks mined from recent sessions |
+
+Default backend is `mock` (deterministic, no API spend). To use real Anthropic
+budget for genuine improvement, add `--backend anthropic`.
+
+## Steps to follow
+
+1. **Run the requested action** via the bundled runner above. Capture stdout.
+2. **For `run` / `dry-run`:** after it completes, `Read` the generated
+   `report.md` in the staging dir it prints, and show the user:
+   - held-out score: baseline → candidate (the proof it helped)
+   - the gate decision (accept/reject) and the exact edits it proposes
+   - where the proposal is staged
+3. **For `run` that produced an accepted proposal:** tell the user the diff is
+   staged and that **nothing live changed yet**. Offer to run `/sleep adopt`.
+4. **For `adopt`:** confirm which live files were updated and that backups were
+   written under the staging dir's `backup/`.
+5. **Never** edit `CLAUDE.md` or `SKILL.md` yourself — only the `adopt` action
+   does that, with a backup. Respect the review gate.
+
+## Safety reminders
+
+- Harvest is **read-only** over `~/.claude`. Replay in `mock` mode runs no
+  shell side effects.
+- The cycle stages proposals; the user is in control of adoption.
+- If the user asks to schedule this nightly, point them at
+  `${CLAUDE_PLUGIN_ROOT}/scripts/install-cron.sh` (prints a crontab line; does
+  not install anything without confirmation).
@@ -0,0 +1,16 @@
+{
+  "hooks": {
+    "SessionEnd": [
+      {
+        "matcher": "*",
+        "hooks": [
+          {
+            "type": "command",
+            "command": "\"${CLAUDE_PLUGIN_ROOT}/hooks/on-session-end.sh\"",
+            "async": true
+          }
+        ]
+      }
+    ]
+  }
+}
@@ -0,0 +1,18 @@
+#!/usr/bin/env bash
+# SkillOpt-Sleep SessionEnd hook (async, best-effort, NON-BLOCKING).
+#
+# This does NOT run the optimizer. It only appends a tiny marker so the next
+# nightly cycle knows there is fresh activity to harvest, and (optionally)
+# nudges the user once that a sleep cycle is available. It must never fail the
+# session or spend API budget.
+set -uo pipefail
+
+PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}"
+STATE_DIR="${HOME}/.skillopt-sleep"
+mkdir -p "$STATE_DIR" 2>/dev/null || exit 0
+
+# Record that a session just ended (cheap; used for "is there new data?").
+printf '%s\t%s\n' "$(date -u +%Y-%m-%dT%H:%M:%SZ)" "${PWD}" \
+  >> "$STATE_DIR/session-end.log" 2>/dev/null || true
+
+exit 0
@@ -0,0 +1,29 @@
+#!/usr/bin/env bash
+# Print (does NOT install) a crontab line that runs SkillOpt-Sleep nightly.
+# The user copies the line into `crontab -e` if they want it.
+set -euo pipefail
+
+PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)}"
+RUNNER="$PLUGIN_ROOT/scripts/sleep.sh"
+PROJECT="${1:-$(pwd)}"
+BACKEND="${2:-mock}"
+
+# 3:17am local — deliberately off the :00 mark so many users don't all hit the
+# API at once (and we leave room for jitter).
+MIN=17
+HOUR=3
+
+cat <<EOF
+# ── SkillOpt-Sleep nightly cycle ────────────────────────────────────────────
+# Review past sessions, replay tasks, stage validated memory/skill updates.
+# Runs at ${HOUR}:$(printf '%02d' $MIN) local every day. Output goes to the project's
+# .skillopt-sleep/ dir; nothing live is changed until you run '/sleep adopt'
+# (unless you pass --auto-adopt below).
+#
+# Copy the next line into 'crontab -e':
+${MIN} ${HOUR} * * *  "${RUNNER}" run --project "${PROJECT}" --scope invoked --backend ${BACKEND} >> "${PROJECT}/.skillopt-sleep/cron.log" 2>&1
+#
+# For fully-autonomous adoption (power users), append: --auto-adopt
+# To spend real API budget for genuine lift, set BACKEND=anthropic above.
+# ────────────────────────────────────────────────────────────────────────────
+EOF
@@ -0,0 +1,11 @@
+#!/usr/bin/env bash
+# Claude Code plugin runner — thin wrapper over the shared runner so all three
+# platform plugins share one engine launcher. The shared runner lives at
+# <repo>/plugins/run-sleep.sh and handles repo-root + interpreter resolution.
+set -euo pipefail
+HERE="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"   # <repo>/plugins/claude-code/scripts
+SHARED="$(cd "$HERE/../.." && pwd)/run-sleep.sh"        # <repo>/plugins/run-sleep.sh
+if [ ! -f "$SHARED" ] && [ -n "${CLAUDE_PLUGIN_ROOT:-}" ]; then
+  SHARED="$(cd "$CLAUDE_PLUGIN_ROOT/.." && pwd)/run-sleep.sh"
+fi
+exec bash "$SHARED" "$@"
@@ -0,0 +1,79 @@
+---
+name: skillopt-sleep
+description: "Use when the user wants their Claude agent to self-improve from past usage, asks about a nightly/offline 'sleep' or 'dream' cycle, memory/skill consolidation, or says things like '让 agent 越用越好用', 'review my past sessions', 'learn my preferences', 'consolidate what you learned', 'run the sleep cycle', or wants to schedule offline self-optimization. Drives the skillopt_sleep engine: harvest past sessions → mine recurring tasks → replay offline → consolidate validated CLAUDE.md/SKILL.md behind a held-out gate."
+---
+
+# SkillOpt-Sleep: offline self-evolution for a local Claude agent
+
+SkillOpt-Sleep gives the user's agent a **sleep cycle**. While the user is
+offline (e.g. nightly), it reviews their real past Claude Code sessions,
+re-runs recurring tasks on their own API budget, and consolidates what it
+learns into **memory** (`CLAUDE.md`) and **skills** (`SKILL.md`) — but only
+keeps changes that pass a held-out validation gate, and only after the user
+adopts them. The agent gets measurably better at *this* user's recurring work,
+with no model-weight training. It is the deployment-time analogue of training:
+short-term experience → long-term competence.
+
+It synthesizes three ideas:
+- **SkillOpt** — the skill/memory doc is trainable text; bounded add/delete/replace
+  edits; accepted only through a held-out gate; rejected edits become negative feedback.
+- **Claude Dreams** — offline consolidation that reads past sessions and rebuilds
+  memory (dedup/merge/resolve); the input is never mutated; output is reviewed then adopted.
+- **Agent sleep** — periodic offline replay turns episodes into durable skill.
+
+## When to use this skill
+
+Trigger when the user wants any of:
+- "make my agent learn from how I use it" / "越用越好用" / "remember my preferences across sessions"
+- a nightly/scheduled or on-demand **offline self-improvement / dream / sleep** run
+- to **review past sessions/trajectories** and distill recurring tasks
+- to **consolidate** feedback into `CLAUDE.md` or a managed skill
+- to **schedule** the cycle (cron) or **adopt** a staged proposal
+
+## The cycle (six stages)
+
+1. **Harvest** — read `~/.claude/projects/*/<session>.jsonl` + `~/.claude/history.jsonl` (READ-ONLY) → session digests.
+2. **Mine** — digests → `TaskRecord`s (recurring intents + outcome labels + checkable refs where possible).
+3. **Replay** — re-run tasks offline under the *current* skill+memory → (hard, soft) scores.
+4. **Consolidate** — reflect on failures → propose bounded edits → **gate** on a held-out slice; accept only if it strictly improves.
+5. **Stage** — write `proposed_CLAUDE.md`, `proposed_SKILL.md`, a diff, and `report.md` into `<project>/.skillopt-sleep/staging/<date>/`. **Nothing live changes.**
+6. **Adopt** — explicit (or opt-in auto): copy staged files over live ones, backing up first.
+
+## How to drive it
+
+Prefer the `/sleep` command. Under the hood it calls the bundled runner:
+
+```bash
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" status                       # what's happened
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" dry-run --project "$(pwd)"    # safe preview
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" run --project "$(pwd)"        # full cycle, stages a proposal
+"${CLAUDE_PLUGIN_ROOT}/scripts/sleep.sh" adopt --project "$(pwd)"      # apply staged proposal (with backup)
+```
+
+- Default backend is `mock` (deterministic, **no API spend**) — good for trying the plumbing.
+- Add `--backend claude` or `--backend codex` to spend the user's real budget for genuine improvement.
+- Scope defaults to the invoked project; `--scope all` harvests every project.
+
+## Hard rules
+
+- **Never** hand-edit the user's `CLAUDE.md` / `SKILL.md` as part of this skill.
+  Only the `adopt` action changes live files, and it backs them up first.
+- Harvest is read-only. `mock` replay has no side effects.
+- Always show the user the **held-out baseline → candidate** score and the
+  exact proposed edits before suggesting adoption. Evidence before adoption.
+- If asked whether it really helps, run
+  `python -m skillopt_sleep.experiments.run_experiment --persona researcher --json`
+  — a deterministic demo that proves held-out lift and that the gate blocks
+  harmful edits.
+
+## Validate / demo
+
+```bash
+# deterministic proof (no API): held-out score rises, gate blocks regressions
+python -m skillopt_sleep.experiments.run_experiment --persona researcher --assert-improves
+python -m skillopt_sleep.experiments.run_experiment --persona programmer  --assert-improves
+```
+
+See `docs/sleep/experiment_results.md` for recorded output and
+`docs/superpowers/specs/2026-06-07-skillopt-sleep-claude-code-plugin-design.md`
+for the full design.