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 skills add MarioMillet2b/mcp-odoo --skill odoo-agency-fleet-reviewgit clone --depth 1 https://github.com/MarioMillet2b/mcp-odooWrote 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/mariomillet2b/mcp-odoo/odoo-agency-fleet-review)<a href="https://agentmods.dev/skills/mariomillet2b/mcp-odoo/odoo-agency-fleet-review"><img src="https://agentmods.dev/badge/skills/mariomillet2b/mcp-odoo/odoo-agency-fleet-review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mariomillet2b/mcp-odoo/odoo-agency-fleet-review"><img src="https://agentmods.dev/badge/skills/mariomillet2b/mcp-odoo/odoo-agency-fleet-review.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00077 | $0.00649 |
| Opus 5 | $0.00039 | $0.00324 |
| Sonnet 5 | $0.00015 | $0.00130 |
| Haiku 4.5 | $0.00008 | $0.00065 |
Grade A, and why
odoo-agency-fleet-review 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 11d 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.
This is a copy
100% identical to odoo-agency-fleet-review — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Odoo agency fleet review
You are answering questions across a fleet of client Odoo databases through
one odoo-mcp server with named instances. Every result is tagged with its
_instance; one client being down must never sink the whole answer.
Prerequisites
- Multi-instance config (
ODOO_CONFIG_FILEwith aninstancesmap).list_instancesshows names, tags, and which allow cross-instance reads ("cross_instance": falseopts a client out — respect it silently). - Cross-instance tools are read-only by design. Writes happen per-instance through the normal gate, one client at a time.
Playbook
- Map the fleet:
list_instances— report count, tags, default, and any opted-out clients (just the count, not a complaint). - Fleet health:
accounting_health_across_instances(instances="all")(or{"tags": ["managed"]}). For fleets >10, run viasubmit_async_taskand poll. - Triage the errors map first. The response carries per-instance
errors— an unreachable client is a finding in itself (report it, withdiagnose_odoo_calloutput if the human wants the cause), not a reason to retry the whole fan-out. - Rank and drill down. Present a per-client table sorted by the metric
the human asked about (e.g. overdue AR). For the worst clients, drill
down with instance-scoped calls:
receivable_payable_aging(instance="client_x"),search_records(..., instance="client_x"). - Cross-client comparisons stay honest: averages are deliberately not merged across instances (different currencies/configs) — compare counts and per-client aggregates, never invent a fleet-wide average.
- Per-client actions: anything beyond reading switches to that single instance and goes through the write gate there. Approval tokens are instance-bound; never reuse one across clients.
Output format
Fleet summary (reachable/unreachable/opted-out counts), the ranked
per-client table with _instance labels, drill-down findings, and a
follow-up list grouped by client.
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.
- 11d ago First seen · 56 lines · 77 tokens per session scan A c9d1042b4db2
odoo-agency-fleet-review is a skill published in the GitHub repository MarioMillet2b/mcp-odoo (0 stars, last pushed 2mo ago), licensed MIT. It adds 77 tokens to every session and 649 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to odoo-agency-fleet-review, differing in 0 lines, and is treated as a copy.
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