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AC venus-protocol-ops

Analyze Venus Protocol lending/borrowing positions on BNB Chain with risk-first guidance. Use when users ask about Venus markets, collateral/borrow decisions, health factor, liquidation risk, APY/utilization comparison, isolated pools, or "can I borrow X safely" style what-if checks.

ClawHub Agent Skills author: zed-venus v1.0.0 30 files · 1 script body ≈ 1 153 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

AnalyzerInfrastructuretype 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
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
84
Run on models
none yet
Process rating
C
60/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token references/flux-bnb-addresses.json:6
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "lendingResolver": "0x48…569",
      quoted
    • low Secrets in code secret-high-entropy-token references/flux-bnb-addresses.json:7
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "lendingFactory": "0x54…D03",
      quoted
    • low Secrets in code secret-high-entropy-token references/flux-bnb-addresses.json:9
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      {"symbol": "fU", "address": "0x00…69c"},
      quoted
    • low Secrets in code secret-high-entropy-token references/flux-bnb-addresses.json:10
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      {"symbol": "fUSDC", "address": "0xfE…Df9"},
      quoted
    • low Secrets in code secret-high-entropy-token references/flux-bnb-addresses.json:11
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      {"symbol": "fUSDT", "address": "0xA5…6A2"},
      quoted

    Files scanned: 30. 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 60/100

    • 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
    • 40Consistency. Frontmatter name (venus-protocol-ops) differs from the folder (venus-agent-skills)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 50 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Execution cost. Instruction body is 1153 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +4No input/output examples
    • -31 of 12 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 284: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 50 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (6 of 7)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    This skill mixes Venus risk analysis with real DeFi transaction scripts that ask for private keys, so it needs careful review before use.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026