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BD 1688-finance-tax

财税税负测算专家技能。帮助用户计算商品含税定价、评估整体税负。支持增值税测算、四税联算（增值税+附加税+印花税+所得税）、整体税负分析等场景。用户提到税务、税率、含税定价、税负、增值税、所得税、发票、纳税人等测算问题时使用。

ClawHub Agent Skills author: 1688AiInfra v0.1.0 MIT-0 28 files body ≈ 662 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

ProcedureFinanceInfrastructuretype 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
77/100
safety, quality, tests
Safety 60%
84
Quality 40%
66
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 16

✓ No critical or high findings

Medium and low: 16
  • low Secrets in code secret-high-entropy-token references/reference.md:78
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - 13%税率专用发票含税总额: `spec…unt`
    quoted
  • low Secrets in code secret-high-entropy-token references/reference.md:79
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - 9%税率专用发票含税总额: `spec…unt`
    quoted
  • low Secrets in code secret-high-entropy-token references/reference.md:80
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - 6%税率专用发票含税总额: `spec…unt`
    quoted
  • low Secrets in code secret-high-entropy-token references/reference.md:81
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - 3%税率专用发票含税总额: `spec…unt`
    quoted
  • low Secrets in code secret-high-entropy-token references/reference.md:82
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - 1%税率专用发票含税总额: `spec…unt`
    quoted
  • low Secrets in code secret-high-entropy-token references/tax-calculation.md:162
    High-entropy token-like string (may be an id, hash or a credential)
    | spec…unt | number | 否 | 13% 专票含税总额（万元） |
  • low Secrets in code secret-high-entropy-token references/tax-calculation.md:163
    High-entropy token-like string (may be an id, hash or a credential)
    | spec…unt | number | 否 | 9% 专票含税总额（万元） |
  • low Secrets in code secret-high-entropy-token references/tax-calculation.md:164
    High-entropy token-like string (may be an id, hash or a credential)
    | spec…unt | number | 否 | 6% 专票含税总额（万元） |
  • low Secrets in code secret-high-entropy-token references/tax-calculation.md:165
    High-entropy token-like string (may be an id, hash or a credential)
    | spec…unt | number | 否 | 3% 专票含税总额（万元） |
  • low Secrets in code secret-high-entropy-token references/tax-calculation.md:166
    High-entropy token-like string (may be an id, hash or a credential)
    | spec…unt | number | 否 | 1% 专票含税总额（万元） |
  • low Secrets in code secret-high-entropy-token scripts/capabilities/calc_overall/service.py:113
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "spec…unt": spec…unt,
    quoted
  • low Secrets in code secret-high-entropy-token scripts/capabilities/calc_overall/service.py:114
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "spec…unt": spec…unt,
    quoted
  • low Secrets in code secret-high-entropy-token scripts/capabilities/calc_overall/service.py:115
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "spec…unt": spec…unt,
    quoted
  • low Secrets in code secret-high-entropy-token scripts/capabilities/calc_overall/service.py:116
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "spec…unt": spec…unt,
    quoted
  • low Secrets in code secret-high-entropy-token scripts/capabilities/calc_overall/service.py:117
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "spec…unt": spec…unt,
    quoted
  • low Secrets in code secret-password-literal scripts/capabilities/configure/cmd.py:39
    Hard-coded password / key literal (may be an example)
    api_key = sys.argv[1].strip()

Files scanned: 28. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 662 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)
  • +3Description length 112: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -37 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 6 items
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This skill is a coherent tax-calculation integration that uses an expected API key and 1688 gateway calls, with some privacy and credential-handling details users should understand before installing.
LLM: benign (high) · VirusTotal: · 29 May 2026