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BC aaveclaw

Aave V3 lending protocol on Base Sepolia testnet. Deposit WETH collateral, borrow USDC, repay loans, withdraw collateral, check health factor, and mint test tokens via faucet. Use when users want to interact with Aave lending, check their lending position health, or get testnet tokens.

ClawHub Agent Skills author: Ajit Tripathi v1.0.0 20 files · 7 scripts body ≈ 666 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype 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
86/100
safety, quality, tests
Safety 60%
86
Quality 40%
87
Run on models
none yet
Process rating
C
51/100
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.

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.

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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • medium Risky intent intent-wallet-secrets skill-card.md:24
      Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
      Risk: The skill uses a raw wallet private key and can sign blockchain transactions.
    • medium Dangerous commands cmd-autorun-instruction SKILL.md:75
      Instructs the agent to auto-run a script on every session
      - **Always run `health.sh` first** to see the current position before making changes.
    • low Secrets in code secret-high-entropy-token package-lock.json:35
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…jgR+Mkmf+D189…ihQ==",
      detector
    • low Secrets in code secret-high-entropy-token scripts/lib/config.js:11
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      pool: "0x8b…E27",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/lib/config.js:13
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      usdc: "0xba…D5f",
      quoted
    • low Secrets in code secret-high-entropy-token scripts/lib/config.js:14
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      faucet: "0xD9…6Dc",
      quoted

    Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 51/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 85Steps. 14 steps, 1 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 666 tokens

    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 286: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (7 code blocks)
    • +3All 7 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This skill is a coherent testnet Aave tool, but it asks agents to use a raw wallet private key and perform blockchain transactions without enough safety boundaries or warnings.
    LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026