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 Venkateshvenki404224/frappe-apps-manager --skill frappe-workflow-generatorgit clone --depth 1 https://github.com/Venkateshvenki404224/frappe-apps-managerWrote 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/venkateshvenki404224/frappe-apps-manager/frappe-workflow-generator)<a href="https://agentmods.dev/skills/venkateshvenki404224/frappe-apps-manager/frappe-workflow-generator"><img src="https://agentmods.dev/badge/skills/venkateshvenki404224/frappe-apps-manager/frappe-workflow-generator/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/venkateshvenki404224/frappe-apps-manager/frappe-workflow-generator"><img src="https://agentmods.dev/badge/skills/venkateshvenki404224/frappe-apps-manager/frappe-workflow-generator.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 | $0.01386 |
| Opus 5 | $0.00017 | $0.00693 |
| Sonnet 5 | $0.00007 | $0.00277 |
| Haiku 4.5 | $0.00003 | $0.00139 |
Grade A, and why
frappe-workflow-generator 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frappe Workflow Generator
Generate production-ready Frappe Workflows for document state management, approvals, and business process automation.
Global Rules
These Frappe conventions apply to everything this skill generates, and override any conflicting example below.
- Bench commands: use bare
bench(never./env/bin/benchor a full path). Always pass--site <site>explicitly — never run a barebench migrate/bench run-tests. Runbench startin the background and only if it isn't already running. Don't run discovery commands (which bench,bench --version). - DocType files live at
apps/<app>/<app>/<module>/doctype/<name>/<name>.json— the app name appears twice (directory + Python package) — with an empty__init__.pyalongside. Nevermkdirthe folder; write the JSON and runbench --site <site> migrateto create the structure. Don't addcreation,modified,owner,modified_by, ordocstatusas fields — Frappe manages them. - Database & ORM: prefer
frappe.qb.get_query()over rawfrappe.db.sql(). Usefrappe.db.get_all()for server logic (ignores permissions) andfrappe.db.get_list()for user-facing APIs (enforces them). Never usefrappe.db.set_value()on a field with validation or lifecycle logic — load the doc anddoc.save()so controller hooks run. Batch-fetch related records; never query inside a loop (N+1). - Never call
frappe.db.commit()in controllers, request handlers, background jobs, or patches — Frappe auto-commits on success and rolls back on uncaught errors. Flush manually only to make a write visible to a subsequentfrappe.enqueue()(or passenqueue_after_commit=True). - Permissions & APIs: put permission checks inside controller methods (enforced on every call path), not in API wrappers. Type-hint every
@frappe.whitelist()parameter so Frappe validates and casts it, and passmethods=[...]to pin the HTTP verb.
When to Use This Skill
Claude should invoke this skill when:
- User wants to create approval workflows
- User needs document state transitions
- User requests multi-step approval processes
- User mentions workflows, approvals, or document states
- User wants role-based approval routing
- User needs to implement document lifecycle management
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.
- 12d ago First seen · 144 lines · 34 tokens per session scan A a8dbd191b19a
frappe-workflow-generator is a skill published in the GitHub repository Venkateshvenki404224/frappe-apps-manager (27 stars, last pushed 3mo ago), licensed MIT. It adds 34 tokens to every session and 1,386 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 2026-08-30.
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