SKILLEMALL.ai

BD security-audit

Audit codebases, infrastructure, AND agentic AI systems for security issues. Covers traditional security (dependencies, secrets, OWASP web top 10, SSL/TLS, file permissions) PLUS agentic security (prompt injection scanning, identity spoofing detection, memory poisoning checks, multi-agent communication audit, OWASP Agentic Top 10). Use when scanning for vulnerabilities, detecting hardcoded secrets, reviewing agent workspace configuration, checking prompt injection vectors, or auditing agent permissions and boundaries.

ClawHub Agent Skills author: kingrubic v1.0.0 3 files body ≈ 7 525 tokens Open the sourceclawhub.ai analyzed 2 d ago

Audit codebases, infrastructure, AND agentic AI systems for security issues.

As a process D 42/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
90
Quality 40%
74
Run on models
none yet
Process rating
D
42/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
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.

Instruction override 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 text contains phrases like "ignore previous instructions" or "you are now…". That is an attempt to hijack the agent: it may break your rules, the system limits or company policy.

For the author

An honest skill does not need them: state the role and the rules directly without overriding other instructions. Otherwise catalog scanners and corporate filters will block the listing.

How to improve

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

✓ No critical or high findings

Medium and low: 6
  • medium Instruction override en-ignore-previous SKILL.md:623
    Instruction-override phrase ("ignore previous instructions") (documentation of a security skill)
    # Check for instructions in memory that override safety rules
    security skill
  • low Secrets in code secret-password-literal SKILL.md:446
    Hard-coded password / key literal (may be an example) (placeholder value)
    API_KEY="sk-a…..."
    placeholder
  • low Secrets in code secret-password-literal SKILL.md:453
    Hard-coded password / key literal (may be an example) (placeholder value)
    API_KEY=sk-a…...
    placeholder
  • low Dangerous commands cmd-cron-mention SKILL.md:674
    Mentions editing / listing crontab (documentation of a security skill)
    crontab -l 2>/dev/null || echo "  No crontab"
    security skill

A further 2 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7525 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 42/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 40Consistency. Frontmatter name (security-audit) differs from the folder (agentic-security-audit)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 7525 tokens
  • 85Steps. 23 steps, 1 vague phrases
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 523: enough signal without eating the budget
  • +4Structure: 42 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (31 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This is a coherent security-audit helper, but it needs review because some default audit commands can expose local credential, host, agent-memory, and personal-data details in logs or chat output.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026