SKILLEMALL.ai
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BC ripley-pocket

API client skill for Ripley Pocket — the M2M micro-payment gateway for AI agents. Use this skill whenever you need to: send or receive payments between AI agents, check an agent's XMR balance, withdraw Monero to an external address, swap XMR cross-chain to BTC/ETH/USDT/LTC, deposit BTC/ETH/USDT/LTC and auto-convert to XMR balance, register a new agent account, or view transaction history. Triggers on any mention of Ripley Pocket, agent payments, XMR/Monero payments, micro-payments between agents, POST /pay, X-API-KEY, deposit swap, fund account with BTC/ETH, or the XMR402 payment protocol. Also use when the user wants to integrate an AI agent with a payment system, fund an agent wallet with non-XMR crypto, or asks about paying for API calls with crypto.

ClawHub Agent Skills author: XBToshi v1.0.1 MIT-0 2 files body ≈ 3 737 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
85
Quality 40%
79
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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.

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.

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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • medium Exfiltration net-credential-use SKILL.md:69
      Credential used in a network call (verify the destination is the intended service)
      curl $RIPLEY_URL/balance -H "X-API-KEY: $API_KEY"
    • medium Exfiltration net-credential-use SKILL.md:211
      Credential used in a network call (verify the destination is the intended service)
      curl $RIPLEY_URL/deposit/swaps -H "X-API-KEY: $API_KEY"
    • medium Exfiltration net-credential-use SKILL.md:246
      Credential used in a network call (verify the destination is the intended service)
      curl $RIPLEY_URL/swaps -H "X-API-KEY: $API_KEY"

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "requiredEnv"
    • note frontmatter-key unknown frontmatter key "primaryEnv"
    • note frontmatter-key unknown frontmatter key "defaultEnv"

    Process rating: all ten parameters 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (ripley-pocket) differs from the folder (monero-pocket)
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 14 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 3737 tokens
    • low 12 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
    • -2localhost URLs: will not work for another user
    • +1No license
    • +2Single-language instructions
    • +3Description length 763: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (25 code blocks)

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

    External checks

    ClawHub: suspicious
    This skill is a disclosed cryptocurrency payment API helper, but it gives agents broad funds-moving authority without clear confirmation controls.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026