Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/actinon-com/brass-monkey/odoo-reportsnpx skills add actinon-com/brass-monkey --skill odoo-reportsgit clone --depth 1 https://github.com/actinon-com/brass-monkeyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/actinon-com/brass-monkey/odoo-reports)<a href="https://agentmods.dev/skills/actinon-com/brass-monkey/odoo-reports"><img src="https://agentmods.dev/badge/skills/actinon-com/brass-monkey/odoo-reports.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.00371 |
| Opus 5 | $0.00015 | $0.00186 |
| Sonnet 5 | $0.00006 | $0.00074 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
odoo-reports scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Skill: Odoo Reports
This skill provides the agent with the expertise required to discover, generate, and analyze Odoo business reports (e.g., Invoices, Quotations, and Packing Slips).
Core Mandates
1. Report Architecture
Odoo reports are stored in the ir.actions.report model. They are typically rendered using the QWeb engine into PDF or HTML formats. Every report is linked to a specific business model (e.g., sale.order).
2. Workflow for Generating Reports
- Find: Use
list_reportswith amodel(e.g.,account.move) to find the technicalreport_nameorid(e.g.,account.report_invoice). - Execute: Use
download_reportwith the report ID/name and the IDs of the records you want to print (e.g.,[101]). - Analyze: Once the file is downloaded to the local workspace, use standard workspace tools (like
read_fileorpdf_to_text) to extract and analyze the content.
3. Contextual Rationale
When downloading a report, provide a justification as part of the tool call. This is particularly important for models that track "Printing" or "Sending" events (e.g., Odoo may automatically mark an invoice as "Sent" when it is rendered).
Note: Both report tools support the instance_alias parameter.
Available Resources
qweb-basics.md: Reference for Odoo's XML templating directives, which are used to construct report layouts.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 26 lines · 31 tokens per session scan A 46208e384b61
odoo-reports is a skill published in the GitHub repository actinon-com/brass-monkey (2 stars, last pushed 2d ago), licensed MIT. It adds 31 tokens to every session and 371 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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