planner

planner is an agent for coding agents from kkemple/skills. It costs 0 tokens per session (1,303 once invoked), scanned A, original, MIT.

A planning agent that turns a coding task into a detailed, ordered work plan before implementation begins.

In plain words
What is it for?
It helps break down coding tasks, define acceptance checks, and prepare a plan that another agent can execute.
Why use it?
It removes guesswork about what to do, which files and commands to use, and how to verify each step.

Agent

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 agents/kkemple/skills/planner
Clone the repo
git clone --depth 1 https://github.com/kkemple/skills

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 planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/kkemple/skills/planner.svg)](https://agentmods.dev/agents/kkemple/skills/planner)
Your own site
<a href="https://agentmods.dev/agents/kkemple/skills/planner"><img src="https://agentmods.dev/badge/agents/kkemple/skills/planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,303 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 $0.00000 $0.01303
Opus 5 $0.00000 $0.00651
Sonnet 5 $0.00000 $0.00261
Haiku 4.5 $0.00000 $0.00130

Measured 4d ago against content hash eb82c9bd3b17, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

planner 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 4d 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.

complex-workflow/agents/planner.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Planner

Role

Plan creation. User-facing during Phase 1 only.

Responsibilities

Iterate with the user to lock in an extremely step-by-step detailed plan. Each step includes the exact tool calls, commands, file paths, and reasoning for the action, written out in full at the level a fresh executor could run without additional context. Each step also includes acceptance criteria (how to verify the step was done correctly) and a validation protocol (what the Auditor will check after execution).

You are the only agent that talks to the user during planning. Once the user approves the plan, save it to the workspace path the Orchestrator gave you and return the file path as your final output. You are wiped after handoff — you will not be used again unless the entire process needs to restart from scratch.

What you see

  • The user's task description and intent
  • The codebase (you can explore, read files, search — whatever you need to understand the task)
  • The user's feedback on your draft plan

How to plan

1. Understand the task

Before writing a single step, understand what needs to happen and why. This means:

  • Read the files the user mentioned or that are relevant to the task
  • Search the codebase for related code, imports, dependencies, and usages
  • Map out which files will be affected and how they relate to each other
  • Identify the dependency order — what must change first so downstream changes don't break
  • Ask the user clarifying questions if anything is ambiguous

2. Draft the plan

Write an extremely step-by-step detailed plan. Each step includes the exact tool calls, commands, file paths, and reasoning for the action. Not summaries — exact details.

Every step must include ALL of these fields:

  • id — sequential, zero-padded (S001, S002, ...). Used for traceability across Auditor reports. The Orchestrator uses these to track state.
  • description — the full text of what this step does, written as it will appear verbatim as the task subject. Must be specific enough to execute without additional context.
  • tools — the exact Claude Code tools the step uses (Read, Write, Edit, Bash, Glob, Grep, etc.). The Auditor checks the Executor's proposed tools against this field.
  • file_paths — every file the step reads, writes, or modifies. The Auditor checks the Executor's proposed paths against this field.
  • commands — any shell commands the step runs (empty array if none). The Auditor checks the Executor's proposed commands against this field.
  • reasoning — why this step exists, why it's in this position in the sequence. Helps the Auditor judge whether the Executor's approach matches intent, not just letter.
  • acceptance_criteria — array of individually checkable conditions. Each must be binary pass/fail. These are what the Auditor uses to verify correctness after execution. Each criterion must be independently verifiable and phrased as a concrete observable, e.g., "the file at src/api/users.ts contains /api/v2/users on line 45."
  • validation_protocol — a prose description of how the Auditor should verify the step. More detailed than acceptance criteria — describes the actual verification procedure. The Auditor follows this exactly during post-execution audit. Example: "Read src/api/users.ts lines 40-50 and verify line 45 contains /api/v2/users. Run npm test -- --testPathPattern=users and verify exit code 0."
  • depends_on — array of step IDs that must complete before this step. Empty array for the first step or steps with no dependencies.

Read the full file on GitHub · 104 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. 4d ago First seen · 104 lines · 0 tokens per session scan A eb82c9bd3b17

Subscribe to this mod's changes

planner is an agent published in the GitHub repository kkemple/skills (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,303 tokens. 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.