plan

plan is a skill for Claude Code from divinevideo/divine-mobile. It costs 73 tokens per session (1,885 once invoked), scanned A, original, MPL-2.0.

An investigation and planning workflow for GitHub issues that examines the issue, the codebase, affected layers, tests, and risks before implementation.

In plain words
What is it for?
It helps plan bug fixes, features, and tasks by identifying files to change, implementation steps, testing needs, and risk areas.
Why use it?
It turns a broad issue into a concrete development plan so the work is easier to estimate and carry out.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Claude Code; installed under .agents/ (shared by several agents).

Good fit It helps plan bug fixes, features, and tasks by identifying files to change, implementation steps, testing needs, and risk areas.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/divinevideo/divine-mobile/plan
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 divinevideo/divine-mobile --skill plan
Clone the repo
git clone --depth 1 https://github.com/divinevideo/divine-mobile

Made for: Claude Code.

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 plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/divinevideo/divine-mobile/plan/github.svg)](https://agentmods.dev/skills/divinevideo/divine-mobile/plan)
Your own site
<a href="https://agentmods.dev/skills/divinevideo/divine-mobile/plan"><img src="https://agentmods.dev/badge/skills/divinevideo/divine-mobile/plan/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 plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/divinevideo/divine-mobile/plan"><img src="https://agentmods.dev/badge/skills/divinevideo/divine-mobile/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,885 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00073 $0.01885
Opus 5.5 $0.00029 $0.00754
Sonnet 5.5 $0.00015 $0.00377
Haiku 4.5 $0.00007 $0.00188

Measured 1mo ago against content hash 8acc74750e0c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan 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.

.agents/skills/plan/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Issue Investigation & Planning Skill

Purpose

Investigate a GitHub issue thoroughly and produce a structured, actionable implementation plan. The plan follows the project's layered architecture (UI -> BLoC -> Repository -> Client) and includes files to modify, implementation steps, testing strategy, and risk assessment.

Workflow

Phase 1: Fetch Issue

Retrieve the full issue context using gh CLI and GraphQL.

# Get issue details
gh issue view <number> --json title,body,comments,labels,state,assignees

# Get issue type, hierarchy, and sub-issues
gh api graphql -f query='{ repository(owner: "divinevideo", name: "divine-mobile") {
  issue(number: <NUMBER>) {
    id
    title
    body
    issueType { id name }
    subIssues(first: 20) { nodes { number title state } }
    parentIssue { number title }
  }
} }'

Determine the issue type from:

  • Title prefix: fix: = Bug, feat: = Feature, task: = Task
  • GraphQL issueType field
  • Labels (e.g., bug label)

Extract key information:

  • Bug: Steps to reproduce, actual vs expected result, environment, evidence
  • Feature: Requirements, acceptance criteria, user stories
  • Task: Description, scope, implementation notes

Phase 2: Explore Codebase

Search the codebase to understand the relevant code. Approach varies by type.

For Bugs
  1. Search for keywords from the bug description (error messages, screen names, widget names) using Grep
  2. Identify the screen/page where the bug manifests using Glob on lib/screens/ and lib/widgets/
  3. Trace the code path from UI through BLoC to Repository to Client
  4. Check for related tests using Glob on test/
  5. If Nostr-related, use mcp__nostr__read_kind or mcp__nostr__read_nip for protocol context
For Features
  1. Search for similar existing features using Grep and Glob
  2. Identify which architectural layers are needed (new BLoC? New repository? New package?)
  3. Check if related models/repositories already exist in mobile/packages/
  4. Look at the router (mobile/lib/router/) for navigation integration
  5. If Nostr-related, use mcp__nostr__* tools to understand relevant NIPs and event kinds

Read the full file on GitHub · 215 lines

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. 1mo ago First seen · 215 lines · 73 tokens per session scan A 8acc74750e0c

Subscribe to this mod's changes

plan is a skill published in the GitHub repository divinevideo/divine-mobile (264 stars, last pushed today), licensed MPL-2.0. It adds 73 tokens to every session and 1,885 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.

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