SKILLEMALL.ai

BF 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 body ≈ 5 101 tokens Open the sourceclawhub.ai analyzed 2 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 F 45/100 · Will not run — References files that are not bundled: scripts/_selftest.py, references/invoicing.md, references/purchase_orders.md

IntegrationPlaywrightLogistics and warehouseProcurementFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: scripts/_selftest.py, references/invoicing.md, references/purchase_orders.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. 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 · 0

✓ No critical or high findings

Files scanned: 0. 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/
  • warning missing-ref reference to a missing file: scripts/_selftest.py
  • warning missing-ref reference to a missing file: references/invoicing.md
  • warning missing-ref reference to a missing file: references/purchase_orders.md
  • warning missing-ref reference to a missing file: references/auth_and_patterns.md
  • warning missing-ref reference to a missing file: scripts/sanmar.py
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: scripts/_selftest.py, references/invoicing.md, references/purchase_orders.md
  • 0Tools and files. 5 referenced file(s) missing: scripts/_selftest.py, references/invoicing.md, references/purchase_orders.md
  • 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
  • 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
  • +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 (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

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