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AF daily-roleplay-game

Daily profession roleplay game engine with hidden kink guessing, AI-driven personality generation, achievement tracking, and multi-backend image generation (ComfyUI/SD WebUI/Midjourney/Nano Banana Pro). Use when setting up or running the daily roleplay system, generating daily characters, managing guess-log, or handling roleplay archives.

ClawHub Agent Skills author: nannyu v1.0.2 80 files · 3 scripts body ≈ 881 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 37/100 · Will not run — References files that are not bundled: templates/TOOLS.md

GeneratorSoftware 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
90/100
safety, quality, tests
Safety 60%
94
Quality 40%
85
Run on models
none yet
Process rating
F
37/100
Will not run
References files that are not bundled: templates/TOOLS.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Broad scope meta-agent-memory-dump engine/HEARTBEAT.md
    Agent memory / workspace files bundled with the skill (4) — likely a workspace dump with personal data or tokens
    engine/HEARTBEAT.md, engine/SOUL.md, templates/IDENTITY.md, templates/MEMORY.md
  • low Secrets in code secret-high-entropy-token data/templates/comfyui/README.md:55
    High-entropy token-like string (may be an id, hash or a credential)
    | anime_enhanced | hass…leA | 强化线条/撩拨/特殊 |

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: templates/TOOLS.md

Process rating: all ten parameters 37/100

Will not run. References files that are not bundled: templates/TOOLS.md
  • 0Tools and files. 1 referenced file(s) missing: templates/TOOLS.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 881 tokens
  • 100Running it twice. No mutating operations
  • 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
  • +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
  • +3Description length 340: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 30 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (3 of 8)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: suspicious
This is a disclosed adult roleplay automation skill, but it needs Review because it can run on a schedule, post generated intimate content, read personal schedule data, and retain archives with imperfect scoping warnings.
LLM: suspicious (high) · VirusTotal: benign · 28 May 2026