SKILLEMALL.ai

AD software-data-admapix-raw-developer-helper

Design and harden AdMapix-style raw data workflows for creative, app, ranking, revenue, and analytics datasets before they become dashboards or agent tools. Use when a user asks for AdMapix, raw data, app analytics, creative data, rankings, or needs practical workflow, code, checklist, documentation, or review support for this job.

ClawHub Agent Skills author: Kyro v0.1.1 MIT-0 7 files body ≈ 566 tokens Open the sourceclawhub.ai analyzed 2 d ago

Design and harden AdMapix-style raw data workflows for creative, app, ranking, revenue, and analytics datasets before they become dashboards or agent tools.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

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: 7. 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 46/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 40Consistency. Frontmatter name (software-data-admapix-raw-developer-helper) differs from the folder (software-data-admapix-raw-developer-helper-040526)
    • 100Tools and files. No external tools needed
    • 100Steps. 17 steps
    • 100Execution cost. Instruction body is 566 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 333: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 17 items
    • +4Reference files are cited in the instructions (1 of 1)

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

    External checks

    ClawHub: clean
    This appears to be a documentation/workflow skill for AdMapix-style raw data work, with no evidence of malware or hidden high-impact behavior.
    LLM: benign (medium) · VirusTotal: · 23 Jun 2026