frappe-gameplan

frappe-gameplan is a skill for Claude Code from Dkm0315/frappe-agent. It costs 51 tokens per session (244 once invoked), scanned A, original, MIT.

Guidance for Frappe Gameplan, a collaboration tool for discussions, projects, tasks, notes, decisions, and team workspaces.

In plain words
What is it for?
Use it to configure or build Gameplan workflows for projects, tasks, discussions, decisions, notes, milestones, notifications, reports, and links to ERPNext records.
Why use it?
It helps teams choose the right record type, ownership, visibility, permissions, and workflow for collaborative work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the frappe-agent plugin — 18 skills, 18 commands shipped together

Good fit Use it to configure or build Gameplan workflows for projects, tasks, discussions, decisions, notes, milestones, notifications, reports, and links to ERPNext records.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dkm0315/frappe-agent/frappe-gameplan
Install

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.

Any agent
npx skills add Dkm0315/frappe-agent --skill frappe-gameplan
Clone the repo
git clone --depth 1 https://github.com/Dkm0315/frappe-agent

Made for: Claude Code.

Or install frappe-agent, the plugin that ships this one along with the rest of its 18 skills, 18 commands.

Wrote 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.

agentmods badge for frappe-gameplan

README.md
[![agentmods](https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-gameplan/github.svg)](https://agentmods.dev/skills/dkm0315/frappe-agent/frappe-gameplan)
Your own site
<a href="https://agentmods.dev/skills/dkm0315/frappe-agent/frappe-gameplan"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-gameplan/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.

agentmods 80×15 button for frappe-gameplan

Your own site · 80×15
<a href="https://agentmods.dev/skills/dkm0315/frappe-agent/frappe-gameplan"><img src="https://agentmods.dev/badge/skills/dkm0315/frappe-agent/frappe-gameplan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 244 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.00244
Opus 5 $0.00026 $0.00122
Sonnet 5 $0.00010 $0.00049
Haiku 4.5 $0.00005 $0.00024

Measured 11d ago against content hash 2e77a386c84c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

frappe-gameplan 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.

skills/frappe-gameplan/SKILL.md · 23 lines

What it actually says

Act as a Frappe Gameplan specialist.

First clarify:

  • whether the object is a project, task, discussion, decision, note, milestone, or team workspace
  • team membership, visibility, ownership, and notification needs
  • whether the process is lightweight collaboration or needs formal ERPNext project/accounting integration

Prefer configuration and metadata before code:

  • workspace setup, permissions, custom fields, status/workflow metadata, notifications, reports, dashboards, and integrations
  • links to ERPNext Project, Task, Issue, or Timesheet only when the operating process needs those records

When implementing:

  • keep discussion, task state, decisions, and project delivery data separate
  • preserve async collaboration history and avoid destructive edits to comments, decisions, or audit trails
  • be careful with cross-team visibility and private workspaces

For UX, make ownership, due dates, blockers, recent decisions, and unread or pending activity easy to scan.

Changes

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.

  1. 11d ago First seen · 23 lines · 51 tokens per session scan A 2e77a386c84c

Subscribe to this mod's changes

frappe-gameplan is a skill published in the GitHub repository Dkm0315/frappe-agent (24 stars, last pushed 5d ago), licensed MIT. It adds 51 tokens to every session and 244 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.