SKILLEMALL.ai

BC agent-audit-scanner

Security scanner for OpenClaw skills. Detects prompt injection, credential leaks, unsafe code execution, MCP misconfigurations, privilege escalation, obfuscated shell commands, and social engineering patterns. Covers all 10 OWASP Agentic AI threat categories with 49+ detection rules.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Heady v0.1.0 7 files body ≈ 700 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
78/100
safety, quality, tests
Safety 60%
78
Quality 40%
79
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

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.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  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 · 5

  • high Dangerous commands cmd-encoded-exec references/common-threats.md:11
    Executes a base64/encoded payload (documentation of a security skill)
    echo "aW5z…vcg==" | base64 -d | sh
    security skill
Medium and low: 4
  • low Risky intent intent-offensive-security skill-card.md:2
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    Security scanner for OpenClaw skills. Detects prompt injection, credential leaks, unsafe code execution, MCP misconfigurations, privilege escalation, obfuscated shell commands, and social engineering 
    detector
  • low Risky intent intent-offensive-security skill-card.md:14
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    Developers and engineers use this skill to audit OpenClaw skills and OpenClaw configuration before enabling or operating them. It produces severity-tiered findings for prompt injection, credential exp
    detector
  • low Risky intent intent-offensive-security SKILL.md:3
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    description: "Security scanner for OpenClaw skills. Detects prompt injection, credential leaks, unsafe code execution, MCP misconfigurations, privilege escalation, obfuscated shell commands, and socia
    detector

A further 1 matches are quotations in this security skill's documentation and are not counted as findings.

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 54/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 60Failures and branches. 2 branches
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 700 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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 284: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
This is a coherent local OpenClaw security scanner, but one scan wrapper can automatically install an unpinned PyPI package during a scan, which deserves review before use.
LLM: suspicious (high) · VirusTotal: · 29 May 2026