AD databar
Drive Databar MCP: leads, marketing intel, tables, flows.
Drive Databar MCP: leads, marketing intel, tables, flows.
As a process D 47/100 · Unfinished process — weak spots: result and completion, failures and branches, consistency
ProcedureGoogle SheetsTelegramYouTubeSalesforceMarketingSales and CRMPeople and hiringtype and topics are labelled automatically from the skill text
How to improve
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: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 47/100
- 0Result and completion. Does not say what the result is
- 0Failures and branches. Linear process with no failure handling
- 0Consistency. Frontmatter name (databar) differs from the folder (databar-mcp)
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 23 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 48 steps
- 100Execution cost. Instruction body is 2067 tokens
- low 11 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (6 tags): a typed call is more reliable
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
- +3Description length 57: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +4Structure: 12 headings
- +3Step-by-step instructions: 48 items
- +4Reference files are cited in the instructions (4 of 4)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.
External checks
ClawHub: clean
This skill is a disclosed Databar MCP workflow guide for paid data enrichment, lead research, tables, and exports, with privacy and spending caveats users should still manage carefully.
LLM: benign (high) · VirusTotal: · 16 Aug 2026