make-plan

make-plan is a skill for Claude Code from ajsai47/holyclaude. It costs 35 tokens per session (594 once invoked), scanned A, a copy of make-plan, MIT.

A planning workflow for turning a feature or multi-step task into a detailed, phased implementation plan. It first looks for relevant documentation, examples, and existing code patterns.

In plain words
What is it for?
Use it before implementation to investigate available interfaces, gather evidence from the project, and produce a plan that can be followed in stages.
Why use it?
It reduces the risk of planning around guessed APIs or missing project conventions.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the holyclaude plugin — 11 skills, 9 commands, 13 agents, 6 hooks, 1 MCP server, 5 plugins 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/ajsai47/holyclaude/make-plan
Any agent
npx skills add ajsai47/holyclaude --skill make-plan
Clone the repo
git clone --depth 1 https://github.com/ajsai47/holyclaude

Made for: Claude Code.

Or install holyclaude, the plugin that ships this one along with the rest of its 11 skills, 9 commands, 13 agents, 6 hooks, 1 MCP server, 5 plugins.

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 make-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/ajsai47/holyclaude/make-plan.svg)](https://agentmods.dev/skills/ajsai47/holyclaude/make-plan)
Your own site
<a href="https://agentmods.dev/skills/ajsai47/holyclaude/make-plan"><img src="https://agentmods.dev/badge/skills/ajsai47/holyclaude/make-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 594 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00035 $0.00594
Opus 5 $0.00017 $0.00297
Sonnet 5 $0.00007 $0.00119
Haiku 4.5 $0.00003 $0.00059

Measured 6d ago against content hash 0fa76b0362a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

make-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 6d 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.

Origin

This is a copy

100% identical to make-plan — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/memory/make-plan/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Make Plan

You are an ORCHESTRATOR. Create an LLM-friendly plan in phases that can be executed consecutively in new chat contexts.

Delegation Model

Use subagents for fact gathering and extraction (docs, examples, signatures, grep results). Keep synthesis and plan authoring with the orchestrator (phase boundaries, task framing, final wording). If a subagent report is incomplete or lacks evidence, re-check with targeted reads/greps before finalizing.

Subagent Reporting Contract (MANDATORY)

Each subagent response must include:

  1. Sources consulted (files/URLs) and what was read
  2. Concrete findings (exact API names/signatures; exact file paths/locations)
  3. Copy-ready snippet locations (example files/sections to copy)
  4. "Confidence" note + known gaps (what might still be missing)

Reject and redeploy the subagent if it reports conclusions without sources.

Plan Structure

Phase 0: Documentation Discovery (ALWAYS FIRST)

Before planning implementation, deploy "Documentation Discovery" subagents to:

  1. Search for and read relevant documentation, examples, and existing patterns
  2. Identify the actual APIs, methods, and signatures available (not assumed)
  3. Create a brief "Allowed APIs" list citing specific documentation sources
  4. Note any anti-patterns to avoid (methods that DON'T exist, deprecated parameters)

The orchestrator consolidates findings into a single Phase 0 output.

Each Implementation Phase Must Include

  1. What to implement — Frame tasks to COPY from docs, not transform existing code
    • Good: "Copy the V2 session pattern from docs/examples.ts:45-60"
    • Bad: "Migrate the existing code to V2"
  2. Documentation references — Cite specific files/lines for patterns to follow
  3. Verification checklist — How to prove this phase worked (tests, grep checks)
  4. Anti-pattern guards — What NOT to do (invented APIs, undocumented params)

Final Phase: Verification

  1. Verify all implementations match documentation
  2. Check for anti-patterns (grep for known bad patterns)
  3. Run tests to confirm functionality

Read the full file on GitHub · 64 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. 6d ago First seen · 64 lines · 35 tokens per session scan A 0fa76b0362a5

Subscribe to this mod's changes

make-plan is a skill published in the GitHub repository ajsai47/holyclaude (11 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 594 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to make-plan, differing in 0 lines, and is treated as a copy.

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