安全扫描（ClawHub）

• VirusTotal ：良性
• OpenClaw ：良性

OpenClaw 评估

The skill's requirements and instructions match its stated purpose (remembering user preferences and notes); it asks for no credentials or installs and is internally consistent, though you should confirm where and how the agent will persist those memory files on your system.

安装（复制给龙虾 AI）

将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Remember Me」。简介：Build and maintain human-centered user understanding through structured notes, …。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/achals-iglu/remember-me/SKILL.md
（来源：yingzhi8.cn 技能库）

SKILL.md

打开原始 SKILL.md（GitHub raw）

---
name: remember-me
description: Remember-this trigger: memory updates + recall for preferences, goals, boundaries, prior work, decisions, dates, and todos. Use whenever user asks to remember, continue previous context, personalize behavior, or retrieve what was decided earlier.
---

# Remember Me

Maintain a respectful, useful memory model of the user over time.

## Core Rules

- Store user-relevant context, not surveillance noise.
- Prefer explicit consent for sensitive personal details.
- Use memory to improve help quality, not to overfit persona.
- Be explicit when memory confidence is low or inferred.
- Make human-like inferences (explicitly marked as hypotheses).

## Memory Integrity Rules

Every memory entry must be tagged as one of:

- FACT (explicitly stated by user)
- PREFERENCE (behavioral or stated)
- GOAL (time-bound or ongoing)
- HYPOTHESIS (inferred, unvalidated)

Rules:

- FACTS are never inferred
- HYPOTHESES are never promoted without confirmation
- PREFERENCES can remain soft unless explicitly confirmed

## Capture Triggers

Log memory when any of these happen:

- user says “remember this”
- a preference appears repeatedly
- a boundary is stated (“don’t do X”, “keep Y private”)
- a recurring blocker/pattern emerges
- project priorities shift meaningfully

## Memory Tiers

- **Daily notes**: `memory/YYYY-MM-DD.md`
  - timestamped raw events, short and factual
- **Long-term**: `MEMORY.md`
  - curated durable profile and preferences

## Write Workflow

1. Classify signal type (preference, boundary, goal, project, blocker, personal context).
2. Append concise timestamped entry to daily memory.
3. Form 1–2 human-like assumptions (hypotheses) from behavior patterns.
4. Tag each assumption with confidence (high/medium/low).
5. Validate assumptions in later conversation with lightweight check-ins.
6. Promote validated, durable items to long-term memory.

Use templates in `references/templates.md`.

## Memory Impact Score (Optional Heuristic)

Rate each entry 1–3:

- 1 = cosmetic (tone tweaks)
- 2 = workflow-affecting
- 3 = outcome-critical

Promotion guidance:

- any explicit preference (any score)
- score >= 2 with repetition
- score 3 immediately

## Promotion Workflow

Promote from daily to long-term when at least one is true:

- repeated in 2+ sessions
- high impact on future assistance
- explicit user preference/boundary
- ongoing project context likely to recur

Use checklist: `references/promotion-checklist.md`.

## Personalization Contract

When responding, adapt based on known memory:

- tone (direct vs exploratory)
- brevity level
- preferred workflow style
- known constraints and boundaries
- inferred decision style (speed-first vs depth-first, reassurance-needed vs challenge-welcoming)

Do not pretend certainty. If memory is weak, ask a short confirmation.

## Retrieval Contract

Before answering prior-work / preference / timeline questions:

- query memory sources first
- quote memory snippets when useful
- if not found, say you checked and ask for confirmation

## Explicit Exclusions (Never Store)

Do not store:

- transient emotional states (e.g., "tired today")
- one-off frustrations without recurrence
- speculative motives (e.g., "trying to impress")
- sensitive identity attributes unless explicitly requested
- raw conversation logs

## Weekly Maintenance (recommended)

- review last 3–7 daily notes
- merge stable patterns into `MEMORY.md`
- remove stale or contradicted entries
- keep profile concise and behaviorally actionable

## Confidence Decay

Hypothesis confidence decays automatically if not reinforced:

- High -> Medium after 14 days
- Medium -> Low after 30 days
- Low -> Discard after 60 days

Reinforcement occurs when:

- user behavior aligns again
- user explicitly confirms

## Forgetting & Demotion Policy

Actively remove or downgrade memory when:

- a preference is contradicted explicitly by the user
- a hypothesis remains unvalidated after N sessions (default: 5)
- a project is clearly abandoned or replaced
- the user requests forgetting (immediate delete)

Demotion flow:

- Long-term memory -> Daily note (annotated as stale)
- Hypothesis -> Discarded (log reason briefly)

## Assumption Loop (Human-Like Understanding)

For deeper understanding, run this loop continuously:

1. Observe behavior pattern (not just words).
2. Infer a tentative assumption about the user.
3. Store assumption as hypothesis (never as fact initially).
4. Test it with a small conversational probe.
5. Update confidence or discard if contradicted.

Good probes:

- "I might be wrong, but do you prefer quick decisions when you're tired?"
- "Should I challenge you more directly here, or keep it supportive?"

## Check-In Limits

- Never ask the same confirmation twice.
- Do not stack multiple probes in one response.
- Prefer confirmation when user is calm, not frustrated.

## Optional Check-In Prompt

Use at natural boundaries:

- "Want me to remember this preference for next time?"

Ask once, then store explicitly.

## References

- Templates: `references/templates.md`
- Promotion checklist: `references/promotion-checklist.md`
- Profile schema: `references/profile-schema.md`