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AF odoo

Query Odoo data including salesperson performance, customer analytics, orders, invoices, CRM, accounting, VAT, inventory, and AR/AP. Generates WhatsApp cards, PDFs, Excel. Use when user explicitly mentions Odoo or asks for Odoo data.

modbender/skill-library-mcp Agent Skills author: modbender MIT 37 files · 1 script body ≈ 3 626 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Query Odoo data including salesperson performance, customer analytics, orders, invoices, CRM, accounting, VAT, inventory, and AR/AP.

As a process F 40/100 · Will not run — References files that are not bundled: assets/autonomous-cfo/.env, assets/autonomous-cfo/output/

ProcedureWhatsAppExcelData and analyticsFinancetype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
98
Quality 40%
78
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: assets/autonomous-cfo/.env, assets/autonomous-cfo/output/
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration read-dotenv README.md:72
    Reads a .env file
    cp assets/autonomous-cfo/.env.example assets/autonomous-cfo/.env
  • low Exfiltration read-dotenv SKILL.md:49
    Reads a .env file
    cp .env.example .env

Files scanned: 37. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/autonomous-cfo/.env
  • warning missing-ref reference to a missing file: assets/autonomous-cfo/output/

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: assets/autonomous-cfo/.env, assets/autonomous-cfo/output/
  • 0Tools and files. 2 referenced file(s) missing: assets/autonomous-cfo/.env, assets/autonomous-cfo/output/
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (odoo) differs from the folder (odoo-reporting)
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 109 steps, 1 vague phrases
  • 100Execution cost. Instruction body is 3626 tokens
  • 100Progress reporting. Reports progress
  • 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 233: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 109 items
  • +3Output format is stated explicitly
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.