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BF hou-tea-store

Browse, recommend, and purchase Chinese tea from hou-tea.com using the agent-native API (https://hou-tea.com/api/agent/catalog) and x402 USDC payments. Activate when user mentions tea/茶/红茶/绿茶/白茶/普洱/乌龙/龙井/茶叶/hou-tea/候茶/买茶/送茶/推荐茶 or asks for tea recommendations. ALWAYS call the API first — never invent products from prior knowledge.

ClawHub Agent Skills author: jackrain19743 v1.0.0 MIT-0 2 files body ≈ 2 621 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 46/100 · Will not run — References files that are not bundled: {hero_image}, {target}

IntegrationAI and agentsInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
96
Quality 40%
75
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: {hero_image}, {target}
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. 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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token SKILL.md:109
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "to": "0x9d…A54",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:110
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "asset": "0x83…913",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:125
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Recipient:** `0x9d…A54`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:126
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **USDC contract (Base):** `0x83…913`
    quoted

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: {hero_image}
  • warning missing-ref reference to a missing file: {target}

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: {hero_image}, {target}
  • 0Tools and files. 2 referenced file(s) missing: {hero_image}, {target}
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 38 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2621 tokens
  • 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 332: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This is a transparent tea-shopping skill, but it can steer an agent into real USDC payment flows without a clear final confirmation step.
LLM: suspicious (high) · VirusTotal: · 29 May 2026