SKILLEMALL.ai

AF champro-api

CHAMPRO supplier toolkit covering everything CHAMPRO's PromoStandards services cannot reach — per-warehouse inventory (CHAMPRO publishes no INV endpoint at any version), order status and package tracking (no ODRSTAT, no OSN), ordering with a real sandbox (CHAMPRO registers no PromoStandards PO test endpoint, so the generic client refuses to send), decorated team orders with rosters and proof files, MOQ increments and lead-time catalogs, warehouse routing with split-shipment suborders, and the Custom Builder web-to-print flow (design sessions, proof/view downloads, order-from-design). JSON-in/JSON-out CLI actions over CHAMPRO's REST API and Custom Builder API, with local pre-flight that catches the documented rejections before an order is sent and a hard escalation path for partially-placed orders. Use for CHAMPRO stock or custom apparel sourcing, inventory, ordering, tracking, or Custom Builder embedding — and keep using the promostandards skill for CHAMPRO product data and pricing.

ClawHub Agent Skills author: zmtucker v0.1.0 MIT-0 29 files body ≈ 2 656 tokens Open the sourceclawhub.ai analyzed 2 d ago

CHAMPRO supplier toolkit covering everything CHAMPRO's PromoStandards services cannot reach — per-warehouse inventory (CHAMPRO publishes no INV endpoint at…

As a process F 33/100 · Will not run — References files that are not bundled: ../promostandards

IntegrationLogistics and warehouseData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: ../promostandards
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 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: 29. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../promostandards
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: ../promostandards
  • 0Tools and files. 1 referenced file(s) missing: ../promostandards
  • 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. 10 mutating operations with no state check
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2656 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)
  • +3Description length 997: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -312 of 15 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
The CHAMPRO skill is coherent, but it deserves Review because it can place real orders and has under-scoped handling of validation bypasses, local file writes, and sensitive order details.
LLM: suspicious (high) · 21 Aug 2026