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BF yaohx-expense-tracker

个人记账助手。当用户发送消费信息（文本或支付截图）时自动识别并记录到本地消费数据库；支持按月归档、分类统计、查看消费记录、生成月度消费报告。触发词：记账、账单、消费记录、花了多少钱、月度总结、消费报告、看看本月消费等。This skill should be used when the user mentions recording an expense, checking spending, or requesting a consumption report.

ClawHub Agent Skills author: yaohx v1.0.3 MIT-0 2 files body ≈ 1 278 tokens Open the sourceclawhub.ai↗ analyzed 30 h ago

个人记账助手。当用户发送消费信息（文本或支付截图）时自动识别并记录到本地消费数据库；支持按月归档、分类统计、查看消费记录、生成月度消费报告。触发词：记账、账单、消费记录、花了多少钱、月度总结、消费报告、看看本月消费等。This skill should be used when the user mentions…

As a process F 44/100 · Will not run — References files that are not bundled: references/data_schema.md, scripts/ocr_image.py, scripts/init_db.py

ProcedureSoftware developmenttype 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
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
44/100
Will not run
References files that are not bundled: references/data_schema.md, scripts/ocr_image.py, scripts/init_db.py
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/data_schema.md
  • warning missing-ref reference to a missing file: scripts/ocr_image.py
  • warning missing-ref reference to a missing file: scripts/init_db.py
  • warning missing-ref reference to a missing file: scripts/record_expense.py
  • warning missing-ref reference to a missing file: scripts/list_expenses.py
  • warning missing-ref reference to a missing file: scripts/generate_report.py
  • warning missing-ref reference to a missing file: scripts/delete_expense.py
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: references/data_schema.md, scripts/ocr_image.py, scripts/init_db.py
  • 0Tools and files. 7 referenced file(s) missing: references/data_schema.md, scripts/ocr_image.py, scripts/init_db.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 57 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1278 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 234: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a local expense-tracking skill with sensitive but clearly purpose-aligned bookkeeping behavior and no evidence of hidden exfiltration or unsafe installation.
LLM: benign (high) · VirusTotal: · 11 Jul 2026