SKILLEMALL.ai

CC Xena Protocol

Xena Protocol — scan your Gmail for phishing, crypto scams, impersonation, and BEC. Optionally submit hashed reports to an on-chain registry on Ethereum Sepolia so every other Xena user inherits your detections.

ClawHub Agent Skills author: Nicolo' Vanzo v0.2.0 MIT-0 34 files body ≈ 2 996 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

AnalyzerGmailData and analyticsSecurityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
72/100
safety, quality, tests
Safety 60%
76
Quality 40%
66
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
When it triggers w 12
20
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.

Broad scope 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 asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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. 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 · 8

✓ No critical or high findings

Medium and low: 8
  • medium Broad scope meta-agent-memory-dump HEARTBEAT.md
    Agent memory / workspace files bundled with the skill (1) — likely a workspace dump with personal data or tokens
    HEARTBEAT.md
  • medium Risky intent intent-wallet-secrets README.md:137
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    - Agent wallet private key lives in `~/.openclaw/phishing-detection/config.json`.
  • medium Risky intent intent-wallet-secrets SKILL.md:67
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    - `wallet_private_key`: the agent wallet private key (reporter mode only)
  • medium Risky intent intent-wallet-secrets SKILL.md:326
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    - Never share the wallet private key with the user (show address only).
  • low Risky intent intent-wallet-secrets bin/registry_client.py:11
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    All transactions go through the on-disk agent wallet private key passed
    quoted
  • low Risky intent intent-wallet-secrets bin/trainer.py:54
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    "Your Coinbase wallet will be frozen unless you verify ownership. Provide your seed phrase within the hour.",
    quoted
  • low Risky intent intent-wallet-secrets bin/trainer.py:61
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    "Crypto airdrop: connect your wallet to receive 5000 free tokens. Enter your 12 word seed phrase to qualify.",
    quoted
  • low Secrets in code secret-high-entropy-token data/deployed.json:2
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "address": "0xbD…5E2",
    quoted

Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "activation"

Process rating: all ten parameters 58/100

  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 40Consistency. Frontmatter name (Xena Protocol) differs from the folder (xena-protocol)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 42 steps
  • 100Failures and branches. 6 branches, has a failure section
  • 100Execution cost. Instruction body is 2996 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 The response is described with custom markup (14 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 211: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This Gmail phishing skill is mostly coherent, but it needs Review because it can alter inbox state, automatically publish blockchain reports, and stores its reporting wallet key insecurely.
LLM: suspicious (high) · VirusTotal: · 29 May 2026