SKILLEMALL.ai

CC alibabacloud-quickbi-smartq

Quick BI-SmartQ skill with multiple data analysis capabilities: 1. **File Q&A**: Upload Excel/CSV files for intelligent analysis via Quick BI API 2. **Dataset Q&A**: Natural language queries on Quick BI platform datasets, with automatic intelligent table selection and matching 3. **Document Parsing**: Parse PDF/Word/Excel/CSV/images, extract text, and support extracting key fields to generate structured Excel 4. **Dashboard Skill Generation**: Auto-convert QuickBI dashboards into data query skills 5. **Data Insight**: Deep data insight analysis on Quick BI datasets 6. **Data Report**: Auto-generate professional data reports based on analysis results Use when users mention data analysis, smart Q&A, querying data, file analysis, document parsing, dashboard skills, data insight, or data reports.

ClawHub Agent Skills author: alibabacloud v0.0.1 MIT-0 39 files · 27 scripts body ≈ 6 033 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Quick BI-SmartQ skill with multiple data analysis capabilities: 1.

As a process C 51/100 · Has gaps — References files that are not bundled: references/chat/module-chat-file.md, references/chat/module-chat-dataset.md, references/common/copy_skill_config_zh.png

AnalyzerExcelData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
54
Run on models
none yet
Process rating
C
51/100
Has gaps
References files that are not bundled: references/chat/module-chat-file.md, references/chat/module-chat-dataset.md, references/common/copy_skill_config_zh.png
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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: 39. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6033 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/chat/module-chat-file.md
  • warning missing-ref reference to a missing file: references/chat/module-chat-dataset.md
  • warning missing-ref reference to a missing file: references/common/copy_skill_config_zh.png
  • warning missing-ref reference to a missing file: references/common/copy_skill_config_en.png

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: references/chat/module-chat-file.md, references/chat/module-chat-dataset.md, references/common/copy_skill_config_zh.png
  • 0Tools and files. 4 referenced file(s) missing: references/chat/module-chat-file.md, references/chat/module-chat-dataset.md, references/common/copy_skill_config_zh.png
  • 0Result and completion. Does not say what the result is
  • 20When it triggers. No condition that starts the skill
  • 60Steps. 87 steps, 7 vague phrases
  • 70Execution cost. Instruction body is 6033 tokens
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (10 tags): a typed call is more reliable

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 803: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -215 emoji in the instructions: noise for the model
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 87 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
This QuickBI skill is coherent, but it needs review because it can upload business files, create and persist identity data, and install or overwrite generated skills.
LLM: suspicious (high) · VirusTotal: · 29 May 2026