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AA PantryPilot

Household replenishment planning skill for mainland China that turns pantry status, weekly menu, repeat-purchase habits, and recent consumption clues into a cross-platform home supply system across Meituan, PDD, Taobao, Meituan Maicai, Duoduo Maicai, and similar channels, estimates what is running low, routes urgent top-ups versus stock-up buys versus long-tail one-offs, and outputs the cheapest, fastest, and lowest-friction restock plans.

ClawHub Agent Skills author: haidong v1.0.0 MIT-0 13 files · 1 script body ≈ 2 483 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process A 88/100 · Runs to the end — no weak spots found

ProcedureMarketingPersonal productivitytype 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%
100
Quality 40%
78
Run on models
none yet
Process rating
A
88/100
Runs to the end
When it triggers w 12
70
Inputs and preconditions w 11
70
Failures and branches w 10
70
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 · 0

    ✓ No critical or high findings

    Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "slug"

    Process rating: all ten parameters 88/100

    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Failures and branches. 7 branches
    • 85Steps. 184 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2483 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 top-level sections: this looks like several domains in one skill

    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 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 443: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 184 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

    External checks

    ClawHub: clean
    The skill's files and runtime instructions are coherent with its stated purpose (household replenishment planning); it asks for no unrelated credentials, has no install actions, and does not instruct the agent to access system secrets or external endpoints.
    LLM: benign (high) · VirusTotal: benign · 4 Apr 2026