Open Mercato is an open-source TypeScript foundation framework for building CRM, ERP, commerce, and other business applications with established architecture, specifications, permissions, events, and domain modules. It is for teams and developers who want AI coding assistants to build consistent business software on top of ready-made foundations. The catalogue add-ons teach agents the framework’s conventions and workflows for implementing, testing, reviewing, and debugging features.
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 open-mercato/open-mercato --skill resolution-playbookgit clone --depth 1 https://github.com/open-mercato/open-mercatoWrote 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/open-mercato/open-mercato/resolution-playbook)<a href="https://agentmods.dev/skills/open-mercato/open-mercato/resolution-playbook"><img src="https://agentmods.dev/badge/skills/open-mercato/open-mercato/resolution-playbook/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/open-mercato/open-mercato/resolution-playbook"><img src="https://agentmods.dev/badge/skills/open-mercato/open-mercato/resolution-playbook.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 | $0.00018 | $0.00332 |
| Opus 5.5 | $0.00007 | $0.00133 |
| Sonnet 5.5 | $0.00004 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
resolution-playbook 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 1mo 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
97% identical to resolution_playbook — 6 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.
What it actually says
Use this playbook to pick the single best action for a support ticket, combining the ticket
text with the history returned by the lookup_ticket_history local tool.
Actions you may propose:
set_priority—payload.priorityone oflow | medium | high | urgent.assign_specialist—payload.team(e.g.billing,security,infra,success).send_macro—payload.macroId(a canned reply, e.g.password-reset,refund-status).
Decision rules:
- Outage, data loss, security, or money-at-risk wording →
set_priority: urgent(this beats every other signal). vip: trueORchurnRisk: highwith an unresolved problem →assign_specialistto the most relevant team; do not let a VIP wait in the general queue.- A routine, well-understood request (password reset, "where is my refund", how-to) with
churnRisk: lowand no open tickets →send_macrowith the matching canned reply. - Everything else →
set_priorityat the level the ticket severity and history justify (more open tickets / slower average resolution → raise it).
When the history and ticket disagree, prefer the safer (higher-touch) action and LOWER your confidence rather than guessing. Always name the deciding signal in the rationale.
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.
- 1mo ago First seen · 27 lines · 18 tokens per session scan A 2459e0f95321
resolution-playbook is a skill published in the GitHub repository open-mercato/open-mercato (1,865 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 332 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to resolution_playbook, differing in 6 lines, and is treated as a copy.
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