SKILLEMALL.ai

CD code-security-audit

Comprehensive code security audit toolkit combining OWASP Top 10 vulnerability scanning, dependency analysis, secret detection, SSL/TLS verification, AI Agent security checks, and automated security scoring. Use when auditing codebases, scanning for vulnerabilities, detecting hardcoded secrets, checking OWASP compliance, AI/LLM application security, or preparing for security reviews.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: Dragon v2.1.0 8 files · 1 script body ≈ 6 492 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerGitHubAWSSecuritySoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
65/100
safety, quality, tests
Safety 60%
58
Quality 40%
75
Run on models
none yet
Process rating
D
49/100
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

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.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

Risky intent 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 purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.

For the author

Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.

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. 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 · 13

  • high Secrets in code meta-credential-files patterns/secrets.json
    Credential / dotenv files bundled with the skill (1)
    patterns/secrets.json
Medium and low: 12
  • medium Exfiltration exfil-webhook-url patterns/secrets.json:34
    Webhook / callback URL commonly used for exfiltration (verify the destination) (detector / deny-list definition)
    "pattern": "https://hooks.slack.com/services/T[A-Z0-9]+/B[A-Z0-9]+/[A-Za-z0-9]+",
    detector
  • medium Risky intent intent-wallet-secrets scripts/security-audit.sh:572
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    # Mnemonic / seed phrase detection
  • medium Risky intent intent-wallet-secrets SKILL.md:635
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    # Mnemonic/seed phrase
  • low Risky intent intent-wallet-secrets patterns/ai-agent.json:132
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (detector / deny-list definition)
    "seed phrase\\s*[:=]",
    detector
  • low Risky intent intent-wallet-secrets patterns/ai-agent.json:136
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (detector / deny-list definition)
    "description": "Potential mnemonic/seed phrase exposure",
    detector
  • low Risky intent intent-wallet-secrets patterns/secrets.json:161
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (detector / deny-list definition)
    "description": "Potential 12-word mnemonic phrase assignment"
    detector
  • low Risky intent intent-wallet-secrets patterns/secrets.json:166
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (detector / deny-list definition)
    "description": "Potential 24-word mnemonic phrase assignment"
    detector
  • low Risky intent intent-wallet-secrets scripts/security-audit.sh:573
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (detector / deny-list definition)
    if grep -rn -i "mnemonic\|seed phrase\|recovery phrase\|助记词\|seedphrase" \
    detector
  • low Risky intent intent-wallet-secrets scripts/security-audit.sh:576
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (detector / deny-list definition)
    error "Mnemonic/seed phrase references found - verify not hardcoded"
    detector
  • low Risky intent intent-wallet-secrets SKILL.md:636
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (detector / deny-list definition)
    grep -rn -i "mnemonic\|seed phrase\|recovery phrase\|助记词" \
    detector

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

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6492 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 49/100

  • 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. 1 mutating operations with no state check
  • 70Execution cost. Instruction body is 6492 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 48 steps
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 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
  • -221 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 386: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (44 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a coherent local security-audit skill, with expected scanning behavior and a few usage caveats around secret output and host permission checks.
LLM: benign (high) · VirusTotal: · 29 May 2026