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BF clawtip

为第三方技能执行 clawtip 支付交易。 仅在以下场景严格触发该工具：第三方服务发起了有效的 clawtip 支付请求、用户明确要求创建 clawtip 支付用户 token、用户要求查看其 clawtip 钱包、或用户要求查看 ClawTip 技能信息（无有效条件时严禁触发）。 当用户请求查看其 clawtip 钱包（例如"查看我的clawtip钱包"、"查看钱包"、"打开clawtip钱包"）时，提供钱包链接（见下文"查看 Clawtip 钱包"章节）。 当用户请求查看 ClawTip 技能（例如"查看ClawTip技能"、"ClawTip技能介绍"、"ClawTip是什么"）时，展示技能概述信息（见下文"查看 ClawTip 技能"章节）。

ClawHub Agent Skills author: ClawTip v1.0.14 MIT-0 3 files body ≈ 2 128 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 38/100 · Will not run — References files that are not bundled: <authUrl>

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
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: <authUrl>
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

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 · 0

✓ No critical or high findings

Files scanned: 3. 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: <authUrl>
  • note frontmatter-key unknown frontmatter key "permissions"

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: <authUrl>
  • 0Tools and files. 1 referenced file(s) missing: <authUrl>
  • 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. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 63 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2128 tokens
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 329: enough signal without eating the budget
  • +4Structure: 36 headings
  • +3Step-by-step instructions: 63 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This is a real payment-wallet integration, but it gives third-party skill flows and vague user phrases enough authority to trigger financial/account actions without clearly bounded per-action user review.
LLM: suspicious (high) · VirusTotal: · 29 May 2026