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AF taxwise

中国中小企业智能财税技能。Trigger when user mentions: 税率, 报税, 发票, 记账, 财税, 税务, 增值税, 企业所得税, 个税, 财务分析, 税务筹划, 合规检查, 纳税申报, 税收优惠, 小规模纳税人, 一般纳税人, 附加税, 印花税, 房产税, 发票识别, 报销, 费用归类, 利润表, 资产负债表, 现金流量表, 税负率. Supports freemium: free (税率查询/发票识别/基础记账) and premium (智能报税/财务分析/合规检查/税务筹划).

ClawHub Agent Skills author: keyong v1.0.0 MIT-0 10 files body ≈ 468 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 38/100 · Will not run — References files that are not bundled: scripts/bookkeeping_data.json

ReferenceInfrastructuretype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: scripts/bookkeeping_data.json
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 · 0

✓ No critical or high findings

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/bookkeeping_data.json

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: scripts/bookkeeping_data.json
  • 0Tools and files. 1 referenced file(s) missing: scripts/bookkeeping_data.json
  • 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
  • 70When it triggers. States when to use, but not when not to
  • 75Steps. 3 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 468 tokens
  • 100Running it twice. No mutating operations

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 256: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 7 scripts are documented

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

External checks

ClawHub: suspicious
TaxWise appears to be a local tax/bookkeeping helper, but its tax-filing feature overclaims what it calculates for a high-stakes financial workflow.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026