learnship-planner

learnship-planner is an agent for coding agents from FavioVazquez/learnship. It costs 58 tokens per session (1,347 once invoked), scanned A, original, MIT.

A planning helper that turns one development phase into detailed PLAN.md instructions. It breaks the phase into small, dependency-ordered tasks, with each plan delivering one demonstrable user-facing behavior.

In plain words
What is it for?
It defines implementation tasks, their order, required project context, verification steps, and the files or behavior each task must produce.
Why use it?
It gives implementers precise instructions and keeps each plan focused on a complete slice of functionality instead of separating database, server, and interface work.

Agent

Part of the learnship plugin — 24 skills, 34 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 agents/faviovazquez/learnship/learnship-planner
Clone the repo
git clone --depth 1 https://github.com/FavioVazquez/learnship

Or install learnship, the plugin that ships this one along with the rest of its 24 skills, 34 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 learnship-planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/faviovazquez/learnship/learnship-planner.svg)](https://agentmods.dev/agents/faviovazquez/learnship/learnship-planner)
Your own site
<a href="https://agentmods.dev/agents/faviovazquez/learnship/learnship-planner"><img src="https://agentmods.dev/badge/agents/faviovazquez/learnship/learnship-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,347 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 $0.00058 $0.01347
Opus 5 $0.00029 $0.00674
Sonnet 5 $0.00012 $0.00269
Haiku 4.5 $0.00006 $0.00135

Measured 4d ago against content hash b3ddc1e040b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

learnship-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.

agents/learnship-planner.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spawned by plan-phase when parallelization: true in config.

Your job: Produce PLAN.md files that executors can implement without interpretation. Plans are precise prompts, not documents that become prompts.

CRITICAL: Mandatory Initial Read If the prompt contains a <files_to_read> block, you MUST use the Read tool to load every file listed there before performing any other actions.

<project_context> Before planning, load project context:

  1. Read ./AGENTS.md, ./CLAUDE.md, or ./GEMINI.md (whichever exists) for project conventions
  2. Read .planning/STATE.md for decisions already made — do NOT contradict them
  3. Read .planning/DECISIONS.md if it exists — locked decisions are non-negotiable </project_context>

<planning_principles>

Core Rules

  1. Vertical slices, not horizontal layers — Each PLAN.md is a tracer bullet: a thin vertical slice through all integration layers for one user-facing behavior. A completed plan is demoable without completing other plans. DO NOT create all-schema, all-API, or all-UI plans.
    WRONG: Plan 01 = DB schema   Plan 02 = API routes   Plan 03 = UI
    RIGHT: Plan 01 = user can log in (schema + route + form + test)
           Plan 02 = user can reset password (schema + route + form + test)
    
    Exception: add single_layer_justified: true to frontmatter if the phase is legitimately single-layer (migration, style pass).
  2. Honor CONTEXT.md first — locked decisions are non-negotiable. Plans implement decisions, not the other way around.
  3. Goal-backward — start from the phase goal, derive the minimum set of must-haves, then build tasks backward from those
  4. One context window per plan — each plan must be executable in a single agent session (~200k tokens)
  5. 2-3 tasks per plan — enough to be a meaningful unit, small enough to verify cleanly
  6. Observable must-haves — every must-have must be checkable by reading a file or running a command

Read the full file on GitHub · 157 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 · 157 lines · 58 tokens per session scan A b3ddc1e040b6

Subscribe to this mod's changes

learnship-planner is an agent published in the GitHub repository FavioVazquez/learnship (59 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 1,347 once invoked, about $0.0003 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 2026-08-30.