SKILLEMALL.ai

BC security-auditor

Autonomously scans all installed OpenClaw skills for security risks. Detects dangerous behaviors like shell execution, file deletion, remote code download, data exfiltration, and obfuscated logic. Assigns each skill a risk score (0–100), risk level (Low/Medium/High), and generates a full security report with mitigation recommendations. Use this when the user asks to audit skills, check for security risks, scan installed skills, or wants a security report.

ClawHub Agent Skills author: TheElephantCoder v1.1.3 MIT-0 15 files body ≈ 3 995 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

AnalyzerData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
75/100
safety, quality, tests
Safety 60%
77
Quality 40%
73
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
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.

Dangerous commands 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 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

    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 · 19

    ✓ No critical or high findings

    Medium and low: 19
    • low Concealment en-hide-from-user data/example-output.md:60
      Instruction to hide actions from the user (test fixture / example file; documentation of a security skill)
      files in ~/Documents or ~/Desktop and silently upload them to an external
      fixturesecurity skill
    • low Risky intent intent-offensive-security README.md:206
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      High risk (H1–H16): shell execution, remote code download, file deletion, obfuscation, privilege escalation, credential harvesting, .env access, keyloggers, clipboard theft, screen capture, crypto min
    • low Risky intent intent-offensive-security SKILL.md:105
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      **H5 — Privilege escalation**
    • low Risky intent intent-offensive-security SKILL.md:107
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      Finding: "Attempts privilege escalation — can gain elevated OS permissions."
      detector
    • low Risky intent intent-offensive-security SKILL.md:119
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      **H8 — Keylogger / input capture**
    • low Risky intent intent-offensive-security SKILL.md:121
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
      Finding: "Captures keyboard input — potential keylogger, passwords and input silently recorded."
      quoted
    • low Risky intent intent-offensive-security SKILL.md:135
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      **H12 — Reverse shell / backdoor**

    A further 12 matches are quotations in this security skill's documentation and are not counted as findings.

    Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "runtime"
    • note frontmatter-key unknown frontmatter key "install"
    • note frontmatter-key unknown frontmatter key "requires"
    • note frontmatter-key unknown frontmatter key "permissions"

    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
    • 30Running it twice. 15 mutating operations with no state check
    • 40Consistency. Frontmatter name (security-auditor) differs from the folder (claw-security-auditor)
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 5 branches
    • 100Steps. 29 steps
    • 100Execution cost. Instruction body is 3995 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 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)
    • +3Output format is not stated: the model decides each time
    • -5TODO / placeholder text left in the skill
    • -32 of 5 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 459: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

    External checks

    ClawHub: suspicious
    This is a mostly coherent local security scanner, but its dashboard and persistent trust controls need Review before installation.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026