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 favcrm/mcp --skill favcrm-business-reportinggit clone --depth 1 https://github.com/favcrm/mcpWrote 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/favcrm/mcp/favcrm-business-reporting)<a href="https://agentmods.dev/skills/favcrm/mcp/favcrm-business-reporting"><img src="https://agentmods.dev/badge/skills/favcrm/mcp/favcrm-business-reporting/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/favcrm/mcp/favcrm-business-reporting"><img src="https://agentmods.dev/badge/skills/favcrm/mcp/favcrm-business-reporting.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 | $0.00034 | $0.00240 |
| Opus 5 | $0.00017 | $0.00120 |
| Sonnet 5 | $0.00007 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
favcrm-business-reporting 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.
What it actually says
FavCRM Business Reporting
Use this skill when a merchant asks for a dashboard, weekly summary, KPI snapshot, business review, revenue report, booking funnel, overdue risk, or subscription health.
Operating Rules
- Ground every metric with FavCRM tools. Do not estimate from memory.
- State date range, timezone, and filters.
- Separate facts from recommendations.
- For exports, show preview first and confirm format/path if a downloadable file is requested.
- Highlight risks: overdue invoices, no-shows, cancellations, past-due subscriptions, inactive VIPs.
Standard Flow
- Confirm date range or default to last 7 days.
- Pull headline dashboard stats.
- Pull supporting lists for bookings, invoices, subscriptions, and customers as needed.
- Summarize KPIs, wins, risks, and recommended actions.
- Keep output scannable: tables for metrics, bullets for actions.
Read references/reporting-flows.md for reporting patterns.
What ships with it
3 files 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.
- 11d ago First seen · 28 lines · 34 tokens per session scan A 6f7c46020277
favcrm-business-reporting is a skill published in the GitHub repository favcrm/mcp (0 stars, last pushed 8d ago), licensed MIT. It adds 34 tokens to every session and 240 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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