SKILLEMALL.ai
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AF client-dashboard

Generates a client-facing executive KPI dashboard from QuickBooks Online data. Produces an Excel workbook with traffic-light scoring, 6-month trend sparklines, client-specific watch items, and a CDC log tracking KPI changes month-over-month. Use after monthly close to deliver the final executive summary deliverable to clients. NOT a substitute for P&L variance analysis, not for mid-month snapshots, and not for clients without QBO integration.

ClawHub Agent Skills author: samledger67-dotcom v1.0.2 MIT-0 2 files body ≈ 1 578 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 67/100 · Will not run — References files that are not bundled: scripts/pipelines/client-dashboard.py

GeneratorExcelData 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
F
67/100
Will not run
References files that are not bundled: scripts/pipelines/client-dashboard.py
Tools and files w 18
0
When it triggers w 12
50
Result and completion w 14
60
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: scripts/pipelines/client-dashboard.py
  • note frontmatter-key unknown frontmatter key "updated"

Process rating: all ten parameters 67/100

Will not run. References files that are not bundled: scripts/pipelines/client-dashboard.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/pipelines/client-dashboard.py
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 12 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1578 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • 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
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 446: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 12 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: suspicious
The skill has a clear accounting purpose, but it relies on authenticated QuickBooks access and an external local pipeline that is not included in the reviewed package.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026