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AD invoice-guard

InvoiceGuard · Invoice Compliance Guardian — AI-driven invoice deduplication, verification, and compliance report generation. Handles: invoice upload/scan recognition, duplicate detection (AI deduplication), official tax authority verification (Golden Tax Phase 4), compliance report generation (Cai Hui Ban [2023] No.18), and batch invoice processing. Trigger: invoice, duplicate, reimbursement, compliance, fake invoice, verification, OFD, PDF invoice.

ClawHub Agent Skills author: YK-Global v1.0.0 MIT-0 10 files body ≈ 1 882 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerFinancetype 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
93/100
safety, quality, tests
Safety 60%
98
Quality 40%
85
Run on models
none yet
Process rating
D
46/100
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-password-literal scripts/batch_processor.py:549
      Hard-coded password / key literal (may be an example)
      api_key = sys.argv[4]
    • low Secrets in code secret-password-literal scripts/duplicate_checker.py:407
      Hard-coded password / key literal (may be an example)
      api_key = sys.argv[4]

    Files scanned: 10. 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 46/100

    • 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. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (invoice-guard) differs from the folder (tax-invoice-guard)
    • 100Tools and files. No external tools needed
    • 100Steps. 23 steps
    • 100Execution cost. Instruction body is 1882 tokens

    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
    • -31 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 454: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (11 code blocks)
    • +4Reference files are cited in the instructions (3 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    The skill appears to be a real invoice-compliance tool, but it handles sensitive financial data and credentials with unclear external-service disclosure and consent boundaries.
    LLM: suspicious (medium) · VirusTotal: benign · 27 May 2026