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BF edgeone-clawscan

The first security skill to install after setting up OpenClaw — powered by Tencent Zhuque Lab. Works like an antivirus for your AI environment: audits installed skills, scans skills before installation, and performs a full OpenClaw security health check to prevent data leaks and privacy risks. Backed by Tencent Zhuque Lab A.I.G (AI-Infra-Guard). Use when the user asks to start a security health check or security scan for the current OpenClaw environment, such as `开始安全体检`, `做一次安全体检`, `开始安全扫描`, `全面安全检查`, or `检查 OpenClaw 安全`; also use when the user asks to audit a specific skill before installation, review installed skills for supply chain risk, or investigate whether a skill is safe. Do not trigger for general OpenClaw usage, project debugging, environment setup, or normal development requests. Optional cloud mode: set AIG_CLOUD_LOOKUP=off for zero outbound HTTPS; when enabled, only skill_name, source label, and OpenClaw version are sent to A.I.G (never skill bodies, chats, or workspace files).

ClawHub Agent Skills author: aigsec v1.0.15 MIT-0 2 files body ≈ 8 211 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 59/100 · Will not run — References files that are not bundled: 参考reference链接

ProcedureGitHubSecurityPeople and hiringtype 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
B
85/100
safety, quality, tests
Safety 60%
99
Quality 40%
64
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: 参考reference链接
Tools and files w 18
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security SKILL.md:525
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    - Flag malicious behavior such as credential exfiltration, trojan or downloader behavior, reverse shell, backdoor, persistence, cryptomining, or tool tampering.
    detector

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8211 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: 参考reference链接
  • note frontmatter-key unknown frontmatter key "keywords"
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "external_requests"
  • note frontmatter-key unknown frontmatter key "live_probe"
  • note frontmatter-key unknown frontmatter key "env_vars"
  • note frontmatter-key unknown frontmatter key "provenance"

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: 参考reference链接
  • 0Tools and files. 1 referenced file(s) missing: 参考reference链接
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 6 mutating operations with no state check
  • 40Execution cost. Instruction body is 8211 tokens: crowds the task out of the window
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 115 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 10 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 25 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1007: 120–800 characters recommended
  • -247 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 53 headings
  • +3Step-by-step instructions: 115 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
This OpenClaw security scanner is mostly transparent and purpose-aligned, but it asks to store a global memory that changes future skill-install behavior across all projects.
LLM: suspicious (high) · VirusTotal: · 29 May 2026