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AF report-generator

Automated sales and performance report generator for retail store managers. Generates daily, weekly, and monthly reports from POS/ERP data. Highlights anomalies, tracks targets, and delivers reports via configured channels. Use when a store manager asks for: 今天的销售, 日报, 周报, 月报, 销售额, 业绩怎么样, 完成率, 数据怎么样, daily report, sales summary, performance report, how did we do today, weekly summary, monthly review. Also triggers for scheduled automatic report delivery.

ClawHub Agent Skills author: fangwei-frank v1.0.0 MIT-0 3 files body ≈ 721 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: references/data-connectors.md

GeneratorData 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
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/data-connectors.md
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. 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/data-connectors.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/data-connectors.md
  • 0Tools and files. 1 referenced file(s) missing: references/data-connectors.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (report-generator) differs from the folder (frank-report-generator)
  • 55Failures and branches. 1 branches
  • 100Steps. 21 steps
  • 100Execution cost. Instruction body is 721 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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 458: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 21 items
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This is a disclosed retail reporting skill, but it should be configured carefully because it can read business data and send scheduled reports to chat channels.
LLM: benign (high) · VirusTotal: · 29 May 2026