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AF notion-db-automation

Automate common Notion database operations like batch page creation, data filtering, content generation, and export. Use when you need to automate workflows with Notion databases, bulk process entries, or sync data between Notion and other tools.

ClawHub Agent Skills author: potatosolo v1.0.0 MIT-0 6 files body ≈ 935 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 44/100 · Will not run — References files that are not bundled: scripts/batch_update.py

GeneratorNotionInfrastructuretype 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
44/100
Will not run
References files that are not bundled: scripts/batch_update.py
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/batch_update.py

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: scripts/batch_update.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/batch_update.py
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 11 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 50 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 935 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
  • +3Output format is not stated: the model decides each time
  • -213 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 246: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 50 items
  • +4Has examples (2 code blocks)
  • +3All 3 scripts are documented

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

External checks

ClawHub: clean
This is a disclosed Notion database automation skill, but users should handle tokens and bulk operations carefully.
LLM: benign (high) · VirusTotal: · 29 May 2026