SKILLEMALL.ai

CC drivethru-sanmar

Deterministic SanMar API toolkit covering the four order-lifecycle pillars — purchase orders, inventory, tracking, and invoicing — behind typed CLI tools over SanMar's SOAP web services, PromoStandards services, and SFTP data feeds. Submit and pre-validate POs; check real-time per-warehouse inventory (PromoStandards v2) or bulk FTP feeds; get package-level tracking (Order Shipment Notification) and parse the FTP Daily Shipment Status file; retrieve invoices (InvoicePort — by PO, invoice number, order date, date range, or unpaid) and parse the FTP Daily Invoice / EDI-810 files, all normalized to a common payables shape. Also search products, pull myPrice pricing, parse PO PDFs, resolve marketing colors to mainframe codes, and file portal returns. Use whenever the user needs to read from or write to SanMar for apparel sourcing, pricing, ordering, tracking, or accounts-payable.

ClawHub Agent Skills author: zmtucker v0.3.1 MIT-0 22 files · 11 scripts body ≈ 5 101 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Deterministic SanMar API toolkit covering the four order-lifecycle pillars — purchase orders, inventory, tracking, and invoicing — behind typed CLI tools over…

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationPlaywrightLogistics and warehouseProcurementFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
70
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token references/ftp_feeds.md:6
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - `SanM…v18 (4).pdf`
    quoted

Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5101 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note edit-residue the text marks something as outdated (lines 79, 260, 346): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 55/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 10 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5101 tokens
  • 85Steps. 57 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 top-level sections: this looks like several domains in one skill

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)
  • +3Description length 887: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -39 of 11 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (8 of 9)

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

External checks

ClawHub: suspicious
The skill is a coherent SanMar integration, but it needs Review because it handles live vendor credentials and order actions, and some outputs can expose passwords in raw SOAP payloads.
LLM: suspicious (high) · 25 Jul 2026