start

A command that starts a structured Design Thinking session from a problem or pain point. Design Thinking is a process for understanding users, defining a problem, exploring ideas, building a prototype, and checking the result.

In plain words
What is it for?
Use it to begin user-focused product discovery, create a session workspace, record the initial problem, and start interviews about the users and their situation.
Why use it?
It gives a new project a clear place to record its problem, decisions, and progress. It also prevents the team from jumping straight to a solution before understanding the users.

Command

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 commands/baodq97/open-plugin/start
Clone the repo
git clone --depth 1 https://github.com/baodq97/open-plugin
Per session 13 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 236 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 $0.00013 $0.00236
Opus 5 $0.00006 $0.00118
Sonnet 5 $0.00003 $0.00047
Haiku 4.5 $0.00001 $0.00024

Measured yesterday against content hash 9aa6341e7fe6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

start 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 yesterday.

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.

plugins/design-thinking/commands/start.md · 20 lines

What it actually says

Initialize a new Design Thinking session.

Instructions

Follow the Session Initialization procedure from the design-thinking orchestrator skill (SKILL.md):

  1. Generate session ID: DT-{PROJECT}-{YYYYMMDD}-{SEQ} (derive PROJECT from directory name, SEQ starts at 001)
  2. Create workspace: mkdir -p .design-thinking/sessions/{session_id}/{empathize,define,ideate,prototype,quality-gates}
  3. Initialize {workspace}/state.yaml with all phases set to not_started, empathize set to engaging
  4. Write .design-thinking/state.yaml with active_session and workspace
  5. If user provided a pain point or problem description as argument, log it to {workspace}/empathize/conversation-log.md
  6. Begin the Empathize phase — start Round 1 of the structured interview (Context & Users)

If no pain point/problem was provided, ask the user to describe their problem or pain point before proceeding.

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. yesterday First seen · 20 lines · 13 tokens per session scan A 9aa6341e7fe6

Subscribe to this mod's changes

start is a command published in the GitHub repository baodq97/open-plugin (4 stars, last pushed 3mo ago), licensed MIT. It adds 13 tokens to every session and 236 once invoked, about $0.0001 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 2026-08-31.