DC xlsx
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file; create a new spreadsheet from scratch or from other data sources; analyze data and output results as an Excel file with charts; convert between tabular file formats (CSV/TSV/JSON/PDF-table → XLSX, or XLSX → CSV/JSON); clean, merge, pivot, or transform tabular data. Trigger especially when the user references a spreadsheet file by name or path, says 'make a table/report/model', mentions Excel/CSV/数据分析/报表/汇总, asks to convert or export a spreadsheet (e.g. 'csv转excel', 'json转表格', 'export as CSV'), or wants data visualization inside a spreadsheet.
The skill promises to handle tabular data: open, edit, convert between formats (CSV, XLSX, JSON), generate reports with charts. Triggers include file mentions by name, keywords like 'table' or 'export', Excel references.
Checks found two high-severity dangerous commands in the files. Broken references indicate incomplete assembly. Quality score is 77, but process score drops to 53—a mismatch between promises and delivery. No model runs recorded. Don't install: incomplete build plus identified security issues make it unreliable for actual data work.
Use this skill any time a spreadsheet file is the primary input or output.
As a process C 53/100 · Has gaps — References files that are not bundled: templates/base.py
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- 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 · 3
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high Dangerous commands
cmd-install-from-urlenv_setup/setup.md:175Installs a package from an untrusted URL / archivepython3 -m pip install -i https://pypi.tuna.tsinghua.edu.cn/simple \
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high Dangerous commands
cmd-install-from-urlenv_setup/setup.md:183Installs a package from an untrusted URL / archivepython -m pip install -i https://pypi.tuna.tsinghua.edu.cn/simple --trusted-host pypi.tuna.tsinghua.edu.cn openpyxl XlsxWriter
Medium and low: 1
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low Dangerous commands
cmd-execpolicy-bypassenv_setup/setup.md:40Runs PowerShell with execution policy bypassed (documentation table row)| Windows | `powershell -ExecutionPolicy Bypass -File "$env:XLSX_SKILL_DIR\env_setup\setu…ps1"` |
table
Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: templates/base.py
Process rating: all ten parameters 53/100
- 0Tools and files. 1 referenced file(s) missing: templates/base.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
- 70Execution cost. Instruction body is 4180 tokens
- 100Steps. 26 steps
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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
- -224 emoji in the instructions: noise for the model
- +2Single-language instructions
- +3Description length 739: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (10 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.