SKILLEMALL.ai

CD drivethru-payable-matching

Payable matching for BaconCo — reconcile vendor documents in Odoo's Documents app against their purchase orders and correct incorrect PO line pricing. Use for requests like "check the Purchasing folder against the POs and fix the pricing", "match the vendor invoice / order confirmation / acknowledgement to its PO", "AP price matching / invoice-to-PO matching / three-way match", "reconcile the vendor documents and mark the POs checked", or "go through the Purchasing folder". The flow: read every document in a Documents-app folder (extracting text out-of-context so large batches don't bloat the context window — falling back to a page render + OCR/vision for scanned or custom-encoded PDFs that won't extract as text), pull the PO number / line items / unit prices from each, compare to the purchase order line by line, correct any wrong `price_unit`, post a "checked" log note on the PO (internal, never a "Send message"), and FILE every document into the `Matched` or `Questions` subfolder — escalating genuine questions to a reviewer (default Zach Tucker). Also runs the buying-group payables flow: pull Sports Inc invoices from the SportsLink API (via the `sportsinc-sportslink` adapter), reconcile each to its PO, correct price variances, create the vendor bill and — when the bill total matches the invoice within tolerance — POST it, leaving any mismatch in draft for a human ("get the Sports Inc invoices and bill them", "match the SI invoices to POs and post the payables", "match the vendor invoice and post the bill if it matches"). Handles the multi-shipment case where one PO returns several Sports Inc invoices, splitting it into one vendor bill per shipment via `account.move.line` edits (the `ap_*_bill_line(s)` tools). Runs at volume on a low-cost model. Driven by the Odoo `drivethru_mcp` MCP server; complements the broader `drivethru-odoo` skill.

ClawHub Agent Skills author: zmtucker v0.10.0 MIT-0 6 files · 2 scripts body ≈ 6 127 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Payable matching for BaconCo — reconcile vendor documents in Odoo's Documents app against their purchase orders and correct incorrect PO line pricing.

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureLogistics and warehouseProcurementFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
C
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
56
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

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.
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

  • error description-long description is 1872 chars, limit 1024
  • warning body-long SKILL.md body ≈ 6127 tokens (recommended < 5000); move details to references/
  • note description-budget description takes 1872 of the ~15000-char shared budget for all skills
  • note frontmatter-key unknown frontmatter key "emoji"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 49/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 6127 tokens
  • 85Steps. 26 steps, 1 vague phrases
  • 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
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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 1871: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 10 example trigger phrases
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 26 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: suspicious
This skill is coherent for payable matching, but it can make live financial and fulfillment changes and self-installs runtime dependencies, so it belongs in Review before installation.
LLM: suspicious (high) · 23 Sept 2026