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AB dreamlover-skill

Always run intake first before creating or updating distilled agent skills for anime and game virtual characters. Use when the task requires separating canon, persona, and style examples, writing one canonical source, installing a Codex wrapper, and optionally exporting an OpenClaw wrapper.

ClawHub Agent Skills author: tobemorelucky v0.1.0 MIT-0 43 files body ≈ 2 168 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 72/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorInfrastructureSoftware developmentAI and agentstype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
72/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
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: 43. 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 72/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 3 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 13 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 113 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2168 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +4Description does not say when NOT to use the skill (false activations)
    • +4No input/output examples
    • -32 of 7 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 291: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 113 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (7 of 7)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is a disclosed local character-skill generator with conditional local memory, but users should understand that generated roleplay skills can retain chat-derived memories in a workspace database.
    LLM: benign (medium) · VirusTotal: · 29 May 2026