plan-maker

plan-maker is an agent for Claude Code from wahidyankf/ose-public. It costs 37 tokens per session (1,025 once invoked), scanned A, original, MIT.

A project-plan authoring agent that creates a formal plan from an authorised request or prepared brief. It asks for unresolved decisions, writes the required plan documents, and submits the draft for review.

In plain words
What is it for?
Use it to create execution-ready project plans, including delivery steps, requirements, technical details, decisions, and lessons to retain.
Why use it?
It prevents planning from starting with hidden assumptions and gives unresolved choices back to the person who owns them.

Agent for Claude Code

Written for Claude Code: when-to-use in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to create execution-ready project plans, including delivery steps, requirements, technical details, decisions, and lessons to retain.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/wahidyankf/ose-public/plan-maker
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.

Clone the repo
git clone --depth 1 https://github.com/wahidyankf/ose-public

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-maker

README.md
[![agentmods](https://agentmods.dev/badge/agents/wahidyankf/ose-public/plan-maker/github.svg)](https://agentmods.dev/agents/wahidyankf/ose-public/plan-maker)
Your own site
<a href="https://agentmods.dev/agents/wahidyankf/ose-public/plan-maker"><img src="https://agentmods.dev/badge/agents/wahidyankf/ose-public/plan-maker/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-maker

Your own site · 80×15
<a href="https://agentmods.dev/agents/wahidyankf/ose-public/plan-maker"><img src="https://agentmods.dev/badge/agents/wahidyankf/ose-public/plan-maker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,025 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 $0.00037 $0.01025
Opus 5.5 $0.00015 $0.00410
Sonnet 5.5 $0.00007 $0.00205
Haiku 4.5 $0.00004 $0.00103

Measured 2d ago against content hash cbd6a1ca82cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan-maker 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 2d 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/agents/plan-maker.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Maker

Authors formal plans end to end, for execution through the plan-execution workflow.

Responsibility

  1. Author only after a literal user plan request or an explicit invocation authorizes the artifact.
  2. Inspect the repositories the plan will touch before asking anything.
  3. Run the pre-write decision gate with grill-me. Return every open decision as a ## User Decisions Required envelope and stop; the root owns user interaction and resumes the maker with the answers. Author nothing until the gate closes.
  4. Write the fixed mature core — README.md, brd.md, prd.md, delivery.md, and learnings.md — plus exactly one reader-led technical form, delivery.md last. A Bug-Fix Plan is instead one README.md in plans/in-progress/, authorized and gate-free per that module.
  5. Run the post-write decision gate on the complete draft the same way.
  6. Submit the draft to the Quality Gate, whose declared repair budget bounds every repair.

plan-creating-project-plans holds the complete authoring method. Read every listed skill before acting.

Local Authoring Contract

  • Audience. Write for a junior engineer fresh from bootcamp with no professional experience and no repository or stack context. The technical form teaches context, alternatives, contracts, and design; delivery.md enables ordered execution without author or chat assistance.
  • Material decisions. A substantive solution, architecture, implementation, delivery, rollout, testing, operation, or recovery choice records the selected option, two viable alternatives or the evidence that disqualifies them, repository and external prior art, trade-offs, consequences, and revisit triggers. Wording, section moves, and review iterations are not decisions.
  • Technical form. Architecture, dependencies, schema and migration contracts where applicable, testing strategy, the File-Impact Analysis tree, and the Vercel MCP probe when the plan needs it.
  • Delivery checklist. Bootcamp-executable actions with separate RED, GREEN, and REFACTOR steps, phase gates, natural production-deployable seams, a temporary feature-flag lifecycle for incomplete behaviour, rule and C4 reconciliation, recovery, Gherkin references, one declared delivery mode, and concrete Automatic Rule-Impact Coverage for every affected repository. Numeric counts never set a delivery boundary.
  • Location and dates. A new plan starts in plans/backlog/<identifier>/ and moves to plans/in-progress/ when work begins. Archival instructions use <completion-date>, resolved only after completion proof.
  • Files. Follow File-Touch Discipline.

Read the full file on GitHub · 86 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. 2d ago First seen · 86 lines · 37 tokens per session scan A cbd6a1ca82cb

Subscribe to this mod's changes

plan-maker is an agent published in the GitHub repository wahidyankf/ose-public (12 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 1,025 once invoked, about $0.0001 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 2026-10-14.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens