SKILLEMALL.ai

BF web3-trader

DEX swap 交易技能。当用户提到 swap、兑换、卖出、买入、换成 USDT、交易 ETH、DEX 交易、代币兑换、token swap、sell ETH、buy USDT、交易代币、限价单、limit order、挂单、永续合约、perpetual、开多、开空、做多、做空、杠杆、leverage、止盈、止损、Hyperliquid、平仓、close position、查持仓、funding rate、资金费率、风控、risk control 等关键词时激活。v1 通过 Antalpha AI DEX 聚合器做即时 Swap;v2 新增 Hyperliquid CLOB 限价单、永续合约、Agent Wallet 零托管签名。v2.0.1 新增三级风控确认、余额预检、订单修改、下单失败容错。支持 MetaMask/OKX/Trust/TokenPocket 四大钱包。零托管,私钥不离开用户钱包。

ClawHub Agent Skills author: bevanding v2.0.3 MIT-0 14 files · 1 script body ≈ 4 846 tokens Open the sourceclawhub.ai analyzed 19 h ago

DEX swap 交易技能。当用户提到 swap、兑换、卖出、买入、换成 USDT、交易 ETH、DEX 交易、代币兑换、token swap、sell ETH、buy USDT、交易代币、限价单、limit…

As a process F 31/100 · Will not run — References files that are not bundled: scripts/hl_approve_agent.html, scripts/hl_transfer.html, references/HL_MCP_TOOLS_SPEC.md

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
93
Quality 40%
63
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: scripts/hl_approve_agent.html, scripts/hl_transfer.html, references/HL_MCP_TOOLS_SPEC.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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 Dangerous commands cmd-pipe-to-shell install.sh:3
    Downloads and executes remote code from an unrecognised host (pipe to shell) (code comment)
    # Usage: curl -fsSL install.sh | bash
    comment
  • low Secrets in code secret-high-entropy-token references/mcp-mode.md:31
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "taker": "0x81…1Dd"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:83
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "taker": "0x81…1Dd"
    quoted

Files scanned: 13. 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")
  • warning missing-ref reference to a missing file: scripts/hl_approve_agent.html
  • warning missing-ref reference to a missing file: scripts/hl_transfer.html
  • warning missing-ref reference to a missing file: references/HL_MCP_TOOLS_SPEC.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: scripts/hl_approve_agent.html, scripts/hl_transfer.html, references/HL_MCP_TOOLS_SPEC.md
  • 0Tools and files. 3 referenced file(s) missing: scripts/hl_approve_agent.html, scripts/hl_transfer.html, references/HL_MCP_TOOLS_SPEC.md
  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 70Execution cost. Instruction body is 4846 tokens
  • 100Steps. 100 steps
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 17 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (7 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
  • -2localhost URLs: will not work for another user
  • -299 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 406: enough signal without eating the budget
  • +4Structure: 53 headings
  • +3Step-by-step instructions: 100 items
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (1 of 3)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This crypto trading skill has real swap functionality, but its documentation overstates high-risk automated trading features and is inconsistent about wallet confirmation and private-key handling.
LLM: suspicious (high) · VirusTotal: · 29 May 2026