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AC memory-dream

Structured memory classification and periodic consolidation (Dream) for OpenClaw agents. Activate when setting up a new agent's memory system, when MEMORY.md is getting too long (over 200 lines), when doing periodic memory maintenance during heartbeats, or when the user says "整理记忆" "记忆维护" "dream" "memory cleanup". NOT for daily note writing (just write normally) or conversation recall (use memory_search).

ClawHub Agent Skills author: xwz119 v1.0.0 MIT-0 3 files body ≈ 1 222 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

GeneratorAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 63/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (memory-dream) differs from the folder (memory-dream-consolidation)
    • 60Failures and branches. 2 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 39 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 1222 tokens
    • 100Progress reporting. Reports progress

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Output format is not stated: the model decides each time
    • -5TODO / placeholder text left in the skill
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 408: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 39 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: clean
    This is a markdown-only memory maintenance skill that openly tells the agent to organize and prune local memory files, with no hidden execution, network, credential, or install behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026