SKILLEMALL.ai

AC drivethru-operations

Internal operations agent for the purchasing→manufacturing→shipping side of the Odoo ERP, over the `drivethru_mcp` MCP server. Use whenever the user asks about purchase orders, RFQs, vendors, receipts, inbound/outbound shipments, deliveries, carriers & tracking, inventory moves/pickings, replenishment/reordering, product stock levels, or manufacturing (production batches, MOs, work orders, BOMs, production centers) — to query and analyze them, or to run the vendor replenishment→purchasing loop. Query any field on purchase.order(.line), vendor.tracking, stock.picking, stock.move(.line), delivery.carrier, stock.warehouse.orderpoint, product.product, product.template, mrp.production.batch, mrp.production, mrp.workorder, mrp.bom, mrp.bom.line, and production.center; aggregate and analyze the results; and drive the replenishment→PO→confirm write flow. This is the agent that backs Drive Thru "routines" (scheduled operations sweeps). Especially when answering a person inside an Odoo Discuss conversation.

ClawHub Agent Skills author: zmtucker v0.5.0 MIT-0 6 files body ≈ 3 106 tokens Open the sourceclawhub.ai analyzed 2 d ago

Internal operations agent for the purchasing→manufacturing→shipping side of the Odoo ERP, over the drivethrumcp MCP server.

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerManufacturingLogistics and warehouseProcurementtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
30
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

    • note frontmatter-key unknown frontmatter key "emoji"
    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 57/100

    • 0Result and completion. Does not say what the result is
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 2 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 34 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3106 tokens
    • 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

    • +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 1012: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 34 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    The skill is a coherent Odoo operations helper, but it can invoke live ERP write tools, including financial vendor-bill actions, through a broad MCP call interface that is not tightly allowlisted.
    LLM: suspicious (high) · VirusTotal: · 20 Aug 2026