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AB clawshier

Process receipt or invoice images into structured expenses and log them to Google Sheets. Use when the user wants to scan, log, track, or record an expense from a receipt or invoice image, or when they provide a local file path to a receipt/invoice image. OCR uses OpenAI by default; set CLAWSHIER_VISION_PROVIDER=ollama to use local Ollama instead.

ClawHub Agent Skills author: Fernando Valverde v0.1.5 MIT-0 24 files body ≈ 826 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 69/100 · Nearly there — weak spots: result and completion, running it twice

ProcedureGoogle SheetsFinancetype 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%
94
Quality 40%
87
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
Running it twice w 4
30
Tools and files w 18
60
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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Secrets in code secret-high-entropy-token package-lock.json:42
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…ibj+tODHI5/+l06Au2Pcriv/Gmet…weg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:63
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…8fQ+wE2m…hIQ==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:75
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:101
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…7q9+ak9b…6z7+X768/cHsfg+WlysDWJcmthjsjQ==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:145
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…SDq+2kAA…MOe/+5cdoEdg==",
      detector
    • low Exfiltration read-dotenv README.md:46
      Reads a .env file
      cp .env.example .env  # then fill in your keys

    Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 69/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 14 steps
    • 100Failures and branches. 10 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 826 tokens
    • 100Progress reporting. Reports progress

    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 349: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (2 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    Clawshier fits its receipt-to-Google-Sheets purpose, but it deserves Review because it sends sensitive receipt data to cloud services and can automatically delete or restructure spreadsheet tabs without a confirmation gate.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026