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BD Google Sheets Assistant

Read, write, and analyze Google Sheets with AI-powered insights, formula generation, and data summarization. Powered by evolink.ai

ClawHub Agent Skills author: EvolinkAI v1.0.3 MIT-0 4 files · 1 script body ≈ 1 545 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerGoogle SheetsInfrastructuretype 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
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
81
Run on models
none yet
Process rating
D
39/100
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

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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Exfiltration net-credential-use scripts/sheets.sh:44
      Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
      : "${MATON_API_KEY:?Set MATON_API_KEY. Get one at https://maton.ai/settings}"
      quoted
    • low Exfiltration net-credential-use scripts/sheets.sh:48
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
      : "${EVOLINK_API_KEY:?Set EVOLINK_API_KEY for AI features. Get one at https://evolink.ai/signup}"
      vendor-hostquoted
    • low Exfiltration net-credential-use scripts/sheets.sh:146
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
      local api_key="${EVOLINK_API_KEY:?Set EVOLINK_API_KEY for AI features. Get one at https://evolink.ai/signup}"
      vendor-hostquoted
    • low Secrets in code secret-high-entropy-token SKILL.md:111
      High-entropy token-like string (may be an id, hash or a credential)
      bash scripts/sheets.sh read 1Bxi…pms "Sheet1!A1:D10"
    • low Secrets in code secret-high-entropy-token SKILL.md:115
      High-entropy token-like string (may be an id, hash or a credential)
      bash scripts/sheets.sh write 1Bxi…pms "Sheet1!A1" '[["Name","Score"],["Alice",95],["Bob",87]]'

    Files scanned: 4. 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 "homepage"

    Process rating: all ten parameters 39/100

    • 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
    • 30Running it twice. 19 mutating operations with no state check
    • 40Consistency. Frontmatter name (Google Sheets Assistant) differs from the folder (google-sheets-assistant)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 29 steps
    • 100Execution cost. Instruction body is 1545 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low The response is described with custom markup (8 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 130: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (0 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: suspicious
    This is a real Google Sheets assistant, but its script has unsafe command construction that could run crafted spreadsheet or input content on the user's machine.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026