spawn-planning-agents

spawn-planning-agents is a skill for Claude Code, Codex from eveld/claude. It costs 22 tokens per session (461 once invoked), scanned A, original, MIT.

A planning workflow for gathering codebase context before writing an implementation plan. It covers existing patterns, integration points, tests, and earlier research or decisions.

In plain words
What is it for?
Use it when planning a feature that needs codebase searches, architecture analysis, similar examples, or prior planning documents.
Why use it?
It helps prevent plans from missing relevant files, established approaches, or project-specific testing expectations.

Skill for Claude CodeCodex

Part of the workflows plugin — 29 skills, 5 commands, 17 agents shipped together

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.

agentmods
npx agentmods add skills/eveld/claude/spawn-planning-agents
Any agent
npx skills add eveld/claude --skill spawn-planning-agents
Clone the repo
git clone --depth 1 https://github.com/eveld/claude

Made for: Claude Code, Codex.

Or install workflows, the plugin that ships this one along with the rest of its 29 skills, 5 commands, 17 agents.

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 spawn-planning-agents

README.md
[![agentmods](https://agentmods.dev/badge/skills/eveld/claude/spawn-planning-agents.svg)](https://agentmods.dev/skills/eveld/claude/spawn-planning-agents)
Your own site
<a href="https://agentmods.dev/skills/eveld/claude/spawn-planning-agents"><img src="https://agentmods.dev/badge/skills/eveld/claude/spawn-planning-agents.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 461 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00022 $0.00461
Opus 5 $0.00011 $0.00230
Sonnet 5 $0.00004 $0.00092
Haiku 4.5 $0.00002 $0.00046

Measured 5d ago against content hash 9611bc2600cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

spawn-planning-agents 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 5d 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/spawn-planning-agents/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spawn Planning Agents

Use specialized agents to gather context needed for creating detailed implementation plans.

Planning Research Needs

When planning implementations, you need:

  1. Existing code patterns - How is similar functionality implemented?
  2. Integration points - What files will need to change?
  3. Test patterns - How should tests be written?
  4. Documentation - What prior decisions or research exists?

Agent Selection for Planning

Find what exists:

  • codebase-locator - Find files related to the feature area
  • thoughts-locator - Find existing plans, research, or tickets

Understand patterns:

  • codebase-pattern-finder - Find similar features to model after
  • codebase-analyzer - Understand existing architecture

Extract insights:

  • thoughts-analyzer - Extract key decisions from prior research

Planning Workflow

  1. Context gathering (parallel):

    • Locate existing code in the feature area
    • Find similar implementations to model after
    • Check for prior research or decisions
  2. Pattern analysis (parallel, after context):

    • Analyze architecture of similar features
    • Understand integration points
  3. Plan creation:

    • Use findings to inform phases
    • Reference specific files and patterns
    • Include concrete examples from codebase

Example

Planning task: "Add email notifications feature"

Step 1 - Context (parallel):

Task(subagent_type="codebase-locator", prompt="Find all notification-related code")
Task(subagent_type="codebase-pattern-finder", prompt="Find examples of background job handlers and email sending")
Task(subagent_type="thoughts-locator", prompt="Find any research about notification systems")

Step 2 - Analysis (after context):

Task(subagent_type="codebase-analyzer", prompt="Analyze how the existing SMS notification system works, including job queuing and template rendering")

Step 3 - Plan with specifics: Reference the patterns found and create phases that follow existing conventions.

Read the full file on GitHub · 66 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. 5d ago First seen · 66 lines · 22 tokens per session scan A 9611bc2600cd

Subscribe to this mod's changes

spawn-planning-agents is a skill published in the GitHub repository eveld/claude (10 stars, last pushed 7mo ago), licensed MIT. It adds 22 tokens to every session and 461 once invoked, about $0.0001 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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