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FB claw-body

Give your Claw a body! Turn your AI Claw into a real-time digital avatar with face, voice, and expressions. Talk face-to-face with your Claw — not just text. Also supports presentation mode: narrate PPT/PDF slides with the avatar. Powered by NuwaAI. Usage: /claw-body

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: jianglingling007 v1.0.10 MIT-0 7 files body ≈ 1 456 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 70/100 · Nearly there — weak spots: result and completion, when it triggers, running it twice

ReferenceInfrastructuretype 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
F
27/100
safety, quality, tests
Safety 60%
0
Quality 40%
68
Run on models
none yet
Process rating
B
70/100
Nearly there
Result and completion w 14
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten
Guard blocked this skill: critical findings below. Do not install it until the author fixes them.

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 6

  • critical Secrets in code secret-openai-key server.mjs:34
    OpenAI-style API key (quoted — discussed, not commanded)
    apiKey: "sk-o…LcL",
    quoted
  • critical Secrets in code secret-openai-key server.mjs:39
    OpenAI-style API key (quoted — discussed, not commanded)
    apiKey: "sk-o…LcL",
    quoted
Medium and low: 4
  • medium Secrets in code secret-labelled-token server.mjs:34
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    apiKey: "sk-o…LcL",
  • medium Secrets in code secret-labelled-token server.mjs:39
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    apiKey: "sk-o…LcL",
  • low Secrets in code secret-password-literal server.mjs:34
    Hard-coded password / key literal (may be an example)
    apiKey: "sk-o…LcL",
  • low Secrets in code secret-password-literal server.mjs:39
    Hard-coded password / key literal (may be an example)
    apiKey: "sk-o…LcL",

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 70/100

  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 48 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1456 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -224 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 267: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
This avatar and presentation skill is mostly purpose-aligned, but its local server exposes broad unauthenticated APIs that can use credentials, the local agent, uploaded files, and presentation parsing while it is running.
LLM: suspicious (high) · VirusTotal: · 28 May 2026