BF salary-tax-calculator
个人所得税计算与优化技能。当用户提到个税计算、个税优化、年终奖计税、专项附加扣除、劳务报酬个税、汇算清缴、税率表、税后工资、税前工资、个税APP、综合所得等场景时使用此技能。支持月度累计预扣计算、年终奖两种方式对比优化、劳务报酬计税、专项附加扣除查询、年度汇算清缴预估。适用于所有有工资收入的个人。
个人所得税计算与优化技能。当用户提到个税计算、个税优化、年终奖计税、专项附加扣除、劳务报酬个税、汇算清缴、税率表、税后工资、税前工资、个税APP、综合所得等场景时使用此技能。支持月度累计预扣计算、年终奖两种方式对比优化、劳务报酬计税、专项附加扣除查询、年度汇算清缴预估。适用于所有有工资收入的个人。
As a process F 35/100 · Will not run — References files that are not bundled: scripts/calculate_tax.py, references/tax_rules.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: scripts/calculate_tax.py - warning
missing-refreference to a missing file: references/tax_rules.md - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 35/100
- 0Tools and files. 2 referenced file(s) missing: scripts/calculate_tax.py, references/tax_rules.md
- 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
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 527 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 149: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.