SKILLEMALL.ai

AD openclaw-vulnerability-checker

OpenClaw 安全漏洞检查与配置审计工具。用于检测当前 OpenClaw 版本存在的已知安全漏洞、公网访问安全风险,对比当前版本与最新版本的差异,获取漏洞详情、风险评估、配置审计和升级建议。使用场景:(1) 用户询问"检查一下我的 OpenClaw 版本有什么安全漏洞",(2) 用户说"检查 OpenClaw 安全问题",(3) 用户想了解当前版本的漏洞风险时自动触发,(4) 用户问"最新版本有什么更新"或"对比版本差异",(5) 用户询问"OpenClaw 是否开启了公网访问"。

ClawHub Agent Skills author: hzzhuohui v1.0.1 MIT-0 5 files body ≈ 1 997 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureGitHubSecurityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 0

✓ No critical or high findings

Files scanned: 5. 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 43/100

  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 88 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1997 tokens

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
  • -213 emoji in the instructions: noise for the model
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 245: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 88 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a coherent OpenClaw security-audit helper, with local inspection and optional online lookups that match its stated purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026