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AB daydreamer

Use this skill when the user says "daydream", "start daydreaming", "force a daydream", "run daydream cycles", or when a scheduled daydream is triggered. Also activates on first install to configure daydream frequency and cycles. Use when maintaining the Daydreams.MD memory log or writing new memories. This skill emulates the human act of daydreaming by randomly traversing accumulated memories and web searches to generate novel ideas.

ClawHub Agent Skills author: Huck v1.0.3 MIT-0 3 files body ≈ 4 209 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 77/100 · Nearly there — weak spots: result and completion

GeneratorInfrastructuretype 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
77/100
Nearly there
Result and completion w 14
0
When it triggers w 12
70
Inputs and preconditions w 11
70
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

    • note frontmatter-key unknown frontmatter key "tools"
    • note frontmatter-key unknown frontmatter key "env"

    Process rating: all ten parameters 77/100

    • 0Result and completion. Does not say what the result is
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4209 tokens
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 75 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 13 top-level sections: this looks like several domains in one skill

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 437: enough signal without eating the budget
    • +4Structure: 29 headings
    • +3Step-by-step instructions: 75 items
    • +4Has examples (19 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    The skill is a disclosed local memory and brainstorming tool, but it can read prior session logs and turn them into persistent memories without a clear consent or redaction step.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026