SKILLEMALL.ai

AC 17track

Track parcels and shipments via the 17TRACK API. Manage a local SQLite database of tracked packages with automatic status polling, webhook ingestion, and daily reports with auto-cleanup. Use this skill whenever the user mentions package tracking, parcel tracking, shipment status, 17TRACK, tracking numbers, delivery status, or wants to check where a package is -- even if they just say 'track this', 'where is my order', or 'any updates on my package' without naming 17TRACK explicitly. Also use for automating delivery notifications and daily shipping reports.

ClawHub Agent Skills author: Federico Liva v1.0.3 6 files body ≈ 798 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, running it twice, progress reporting

IntegrationLogistics and warehouseData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
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: 6. 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 63/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 5 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 6 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 798 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 562: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 6 items
    • +4Has examples (4 code blocks)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This appears to be a real 17TRACK package-tracking skill, but it has review-worthy safety gaps around webhook trust and automatic deletion of local tracking records.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026