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CF excel2insights-pro

(no description)

ClawHub Agent Skills author: ChengQian v1.0.0 MIT-0 16 files body ≈ 1 821 tokens Open the sourceclawhub.ai↗ analyzed 26 h ago

Excel2Insights is a data analysis and visualization tool designed for structured data (CSV, XLSX, XLS, TSV).

As a process F 39/100 · Will not run — References files that are not bundled: scripts/data-analyzer.py, scripts/chart-generator.py, scripts/report-generator.py

ProcedureExcelData and analyticstype 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
C
60/100
safety, quality, tests
Safety 60%
100
Quality 40%
0
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: scripts/data-analyzer.py, scripts/chart-generator.py, scripts/report-generator.py
Tools and files w 18
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  2. 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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning missing-ref reference to a missing file: scripts/data-analyzer.py
  • warning missing-ref reference to a missing file: scripts/chart-generator.py
  • warning missing-ref reference to a missing file: scripts/report-generator.py
  • warning missing-ref reference to a missing file: scripts/auto-pipeline.py

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: scripts/data-analyzer.py, scripts/chart-generator.py, scripts/report-generator.py
  • 0Tools and files. 4 referenced file(s) missing: scripts/data-analyzer.py, scripts/chart-generator.py, scripts/report-generator.py
  • 0When it triggers. No condition that starts the skill
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 65 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1821 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)
  • +3Description length 0: 120–800 characters recommended
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 65 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: clean
This skill locally analyzes user-selected spreadsheet files and produces summaries, charts, and reports, with no evidence of hidden network access, credential use, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 19 Jul 2026