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BD security-defense-line

安全防线 - 全方位安全防护与威胁防御系统。 当用户需要以下功能时触发此skill： (1) 智能合约安全审计与漏洞检测 (2) 钱包安全检测与防护 (3) 交易安全验证与风险预警 (4) 钓鱼网站/诈骗检测 (5) 私钥/助记词安全管理 (6) 多签钱包配置与管理 (7) 安全事件响应与应急处理 (8) 安全策略制定与合规检查

ClawHub Agent Skills author: shenmeng v1.0.0 MIT-0 11 files body ≈ 1 695 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

ProcedureInfrastructuretype 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%
93
Quality 40%
69
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
This is a copy of a skill from another catalog; the rating counts the canonical one: security-defense-line (ClawHub)

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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token scripts/contract_auditor.py:301
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    report = auditor.audit(address="0x74…dEe")
    quoted
  • low Secrets in code secret-high-entropy-token scripts/multisig_manager.py:287
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    wallet = MultisigManager("0xMu…def")
    placeholder
  • low Secrets in code secret-high-entropy-token scripts/multisig_manager.py:295
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    to="0xRe…def",
    placeholder
  • low Risky intent intent-wallet-secrets scripts/phishing_detector.py:148
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (quoted — discussed, not commanded)
    "Verify your seed phrase",
    quoted
  • low Secrets in code secret-high-entropy-token scripts/tx_validator.py:314
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    'to': '0x7a…88D',  # Uniswap Router
    quoted
  • low Secrets in code secret-high-entropy-token scripts/wallet_guardian.py:268
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    address = "0x74…dEe"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:168
    High-entropy token-like string (may be an id, hash or a credential)
    python scripts/contract_auditor.py --address 0xA0…0a1 --network ethereum

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

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
  • 40Consistency. Frontmatter name (security-defense-line) differs from the folder (shenmeng-defense-line)
  • 100Tools and files. No external tools needed
  • 100Steps. 115 steps
  • 100Execution cost. Instruction body is 1695 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)
  • +3Output format is not stated: the model decides each time
  • -226 emoji in the instructions: noise for the model
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 165: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 115 items
  • +4Has examples (9 code blocks)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This paid security skill should be reviewed because it presents mock or random digital-asset safety checks as usable protection.
LLM: suspicious (high) · VirusTotal: · 28 May 2026