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AF ar-collections

AR Collections & Aging Analysis pipeline for QBO clients. Produces a 7-tab Excel workbook with AR aging buckets (Current/1-30/31-60/61-90/90+), DSO, collection priority scoring, bad debt reserve, payment patterns, and CDC log. SOP-gated: auto-skips clients with no AR (e.g. POS-based businesses). Use for AR aging reports, collections analysis, DSO tracking, and bad debt reserve calculations. NOT for bank reconciliation, payroll, or tax preparation.

ClawHub Agent Skills author: samledger67-dotcom v1.0.2 MIT-0 2 files body ≈ 1 179 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 54/100 · Will not run — References files that are not bundled: scripts/pipelines/ar-collections.py

AnalyzerExcelFinanceInfrastructureData 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
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: scripts/pipelines/ar-collections.py
Tools and files w 18
0
Failures and branches w 10
0
Running it twice w 4
30
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/ar-collections.py
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "updated"

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: scripts/pipelines/ar-collections.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/pipelines/ar-collections.py
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 1 mutating operations with no state check
  • 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. 30 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1179 tokens
  • 100Progress reporting. Reports progress
  • low 12 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 451: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 30 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: clean
This is a finance reporting skill that clearly describes pulling QuickBooks AR data into local reports and cache files, with no evidence of hidden or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026