SKILLEMALL.ai
GitHub ↗ RU Sign in

BF conspect

全自动多源数据智能分析与商务报表渲染工具。上传Excel数据源，AI自动完成数据解析、图表选型、商务排版、可视化渲染，输出可直接开会投屏的专业报表。v3.1 全流程托管AI自动生成，零用户确认环节，端到端稳定丝滑。适用场景：生成报表/数据看板/Excel出图/投屏数据/多表合并分析。不适用：简单数据整理/桌面BI工具/纯文本报告。

ClawHub Agent Skills author: songzhou666 v0.1.1 MIT-0 52 files body ≈ 4 391 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

全自动多源数据智能分析与商务报表渲染工具。上传Excel数据源，AI自动完成数据解析、图表选型、商务排版、可视化渲染，输出可直接开会投屏的专业报表。v3.1…

As a process F 34/100 · Will not run — References files that are not bundled: references/output-spec, references/trigger-guide, references/examples

ProcedureExcelWordSoftware developmentData and analyticsAI and agentstype 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
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: references/output-spec, references/trigger-guide, references/examples
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  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: 46. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/output-spec
  • warning missing-ref reference to a missing file: references/trigger-guide
  • warning missing-ref reference to a missing file: references/examples
  • warning missing-ref reference to a missing file: references/quality-audit
  • warning missing-ref reference to a missing file: references/ai-reviewer
  • warning missing-ref reference to a missing file: references/cli-ai-workflow
  • warning missing-ref reference to a missing file: references/agent-communication
  • warning missing-ref reference to a missing file: references/chart-selection
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "language"

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: references/output-spec, references/trigger-guide, references/examples
  • 0Tools and files. 8 referenced file(s) missing: references/output-spec, references/trigger-guide, references/examples
  • 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
  • 70Execution cost. Instruction body is 4391 tokens
  • 100Steps. 85 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • low 14 top-level sections: this looks like several domains in one skill

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
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 166: enough signal without eating the budget
  • +4Structure: 48 headings
  • +3Step-by-step instructions: 85 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (8 of 10)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
This skill appears purpose-built for automated spreadsheet report generation, but it gives itself broad automatic execution, file access, and write authority without enough user control.
LLM: suspicious (high) · 11 Aug 2026