SKILLEMALL.ai

BF sportsinc-sportslink

Sports Inc SportsLink API adapter — pull a dealer's invoices ("documents") from the Sports Inc SportsWeb Invoice Center and mark them consumed. Sports Inc is a buying group that does NOT send individual vendor invoices; its SportsLink REST API is where the invoices live. Use when you need to retrieve Sports Inc invoices for payables — "get the Sports Inc invoices", "pull SportsLink documents", "fetch this month's SI invoices to match against POs". This is the SOURCE adapter only: it authenticates, pages, normalises each SI document into a common invoice shape (po_number, invoice_number/date, lines[], charges, total, is_credit), and marks documents historical once imported. Some documents are scanned rather than EDI, so the API returns their header totals with NO line items (`has_lines: false`) — every retrieval names those in `needs_line_recovery`, and they are not billable as returned. For each, this skill logs in to the SportsWeb portal, downloads the invoice PDF, OCRs the scanned vendor invoice into text for the agent to read, and then checks the extracted lines against the API's own merchandise total before any of it is billable. It is customer-agnostic (every Sports Inc dealer uses this same API) and touches no ERP — pair it with a payables workflow (e.g. `drivethru-payable-matching`) to match against POs and create the bill.

ClawHub Agent Skills author: zmtucker v0.7.1 MIT-0 11 files body ≈ 6 679 tokens Open the sourceclawhub.ai analyzed 2 d ago

Sports Inc SportsLink API adapter — pull a dealer's invoices ("documents") from the Sports Inc SportsWeb Invoice Center and mark them consumed.

As a process F 57/100 · Will not run — References files that are not bundled: references/sportsinc_payables.md

IntegrationFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
75/100
safety, quality, tests
Safety 60%
94
Quality 40%
47
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: references/sportsinc_payables.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Shorten the description to 1024 characters.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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 · 2

✓ No critical or high findings

Medium and low: 2
  • medium Exfiltration net-redirectable-api-key scripts/sportslink.py:112
    Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
    API key + configurable base URL from environment
  • low Secrets in code secret-high-entropy-token references/sportsweb_flow_notes.md:43
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    a useful property: `ctl0…ces` is
    quoted

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1353 chars, limit 1024
  • warning body-long SKILL.md body ≈ 6679 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/sportsinc_payables.md
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: references/sportsinc_payables.md
  • 0Tools and files. 1 referenced file(s) missing: references/sportsinc_payables.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 6679 tokens
  • 85Steps. 32 steps, 1 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1352: 120–800 characters recommended
  • -34 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 32 items
  • +3Output format is stated explicitly
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 47.

External checks

ClawHub: suspicious
This looks like a real Sports Inc invoice adapter, but it needs review because it handles portal credentials, persists login sessions, masks browser automation, and can mark invoice documents consumed.
LLM: suspicious (high) · VirusTotal: · 7 Aug 2026