ontology-atlas: Agent for Claude Code

.agents/agents/product-planner.md

product-planner is an agent for Claude Code from wlsdks/ontology-atlas. It costs 87 tokens per session (1,118 once invoked), scanned A, original, MIT.

A product-specification writing agent for a single product change that has already been approved for building. It defines the user and situation, screens and states, exact English and Korean wording, edge cases, exclusions, and testable acceptance criteria.

In plain words
What is it for?
It is for turning an approved product change into a detailed specification covering user flows, web and app states, copy, edge cases, out-of-scope work, and acceptance criteria.
Why use it?
It gives builders and reviewers one concrete description of what to make instead of leaving behaviour to be invented during implementation. It also makes success checkable before the change is built.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: installed under .agents/ (shared by several agents).

This is wlsdks/ontology-atlas's own configuration. It tells Claude Code how to work on ontology-atlas itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ontology-atlas configures →

Reuse

Borrowing it

Nothing to install: this file belongs to wlsdks/ontology-atlas. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/wlsdks/ontology-atlas/main/.agents/agents/product-planner.md
Clone the repo
git clone --depth 1 https://github.com/wlsdks/ontology-atlas

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 product-planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/wlsdks/ontology-atlas/product-planner/github.svg)](https://agentmods.dev/agents/wlsdks/ontology-atlas/product-planner)
Your own site
<a href="https://agentmods.dev/agents/wlsdks/ontology-atlas/product-planner"><img src="https://agentmods.dev/badge/agents/wlsdks/ontology-atlas/product-planner/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 product-planner

Your own site · 80×15
<a href="https://agentmods.dev/agents/wlsdks/ontology-atlas/product-planner"><img src="https://agentmods.dev/badge/agents/wlsdks/ontology-atlas/product-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,118 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 $0.00087 $0.01118
Opus 5.5 $0.00035 $0.00447
Sonnet 5.5 $0.00017 $0.00224
Haiku 4.5 $0.00009 $0.00112

Measured 26d ago against content hash 4166086eab45, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

product-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 26d 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/product-planner.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product planner

A PO pass has decided this change should be built. Settle what it does, for whom, when, and how its success can be checked, so the reviewer judges one concrete proposal and no builder has to invent behaviour. Implementation order and slicing belong to someone else.

Before writing

  1. Begin with an observed person and moment: who (an agent user first, then a learner, then someone who wants an ontology without agents), what they were trying to do, what they saw, and what they did next. Source it from the owner's words, a capture, a walkthrough, or the installed app. If nothing observed exists, state that, and make capturing it the first acceptance criterion.
  2. Read the primary material: the pass and router output from your brief, docs/PRODUCT-DIRECTION.md, the relevant standing decision (pnpm decisions:find <terms>), the vault concepts involved, and the code, message catalogues, and screens the moment touches. Back every statement about current behaviour with path:line, a capture, or a record; mark what you did not read as unknown. Keep inferences out of the current-behaviour section; they belong under Problem. Whenever you change a file you cite, reread it and fix the cited line numbers.
  3. Rank first. If the person raised several problems or places, list and rank them by the value each returns against its cost, explain why this one leads and which follows; being the easiest to build is not a reason.
  4. Question the request. Separate cause from symptom, name what existing users would lose, and weigh at least two ways to restore the same ability, including leaving things as they are, on value, usability, feasibility, and local-first fit. Record each option's cost and why it lost.
  5. When the change is right, treat its hardest part as a design problem rather than a reason to promise less. Specify the first slice only: the fewest parts that return the ability and show it deserves more; list the rest under Later with what would make each one next. Describe what the product does, not how the code does it.

Read the full file on GitHub · 81 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. 26d ago First seen · 81 lines · 87 tokens per session scan A 4166086eab45

Subscribe to this mod's changes

product-planner is an agent published in the GitHub repository wlsdks/ontology-atlas (143 stars, last pushed yesterday), licensed MIT. It adds 87 tokens to every session and 1,118 once invoked, about $0.0003 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 2026-09-29.

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