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 Dkm0315/frappe-agent --skill frappe-customizationgit clone --depth 1 https://github.com/Dkm0315/frappe-agentWrote 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/dkm0315/frappe-agent/frappe-customization)<a href="https://agentmods.dev/skills/dkm0315/frappe-agent/frappe-customization"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-customization/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/dkm0315/frappe-agent/frappe-customization"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-customization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00066 | $0.00309 |
| Opus 5 | $0.00033 | $0.00154 |
| Sonnet 5 | $0.00013 | $0.00062 |
| Haiku 4.5 | $0.00007 | $0.00031 |
Grade A, and why
frappe-customization 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 10d 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
Choose the right Frappe customization surface before suggesting code.
Check these surfaces first when relevant:
Custom FieldProperty SetterClient ScriptServer ScriptWorkspaceWeb PagePagePrint FormatReportDashboardDashboard ChartNumber CardWeb FormWorkflowRoleNotificationAssignment RuleWebhookAuto RepeatEmail TemplateLetter HeadPrint Style
Preferred decision ladder:
- built-in configuration
- metadata/admin DocType customization
- page/workspace/report/dashboard/print/web surfaces
- hooks and custom app code
- changes inside a custom-derived app only when necessary
Explicitly call out when a request should use Custom Field rather than editing a DocType JSON file directly.
When creating or redesigning a DocType, also apply frappe-doctype-design so fields, tabs, sections, columns, and required flags are chosen for a clean human workflow instead of a flat field dump.
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.
- 10d ago First seen · 42 lines · 66 tokens per session scan A 1c8ea6651de1
frappe-customization is a skill published in the GitHub repository Dkm0315/frappe-agent (24 stars, last pushed 4d ago), licensed MIT. It adds 66 tokens to every session and 309 once invoked, about $0.0003 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 2026-08-30.
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