start

A command that initializes an AI development session by reading workflow instructions, gathering project context, and locating coding guidelines.

In plain words
What is it for?
It is for starting development sessions and reviewing workflow, frontend, backend, general guidance, and unit-testing documentation.
Why use it?
It gives the agent the project's current status, active tasks, and expected practices before work starts.

Command for Claude Code

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/mistydew/tokenicode-deepseek-alpha/start
Clone the repo
git clone --depth 1 https://github.com/mistydew/tokenicode-deepseek-alpha

Made for: Claude Code.

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 2,624 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 $0.02624
Opus 5 $0.00000 $0.01312
Sonnet 5 $0.00000 $0.00525
Haiku 4.5 $0.00000 $0.00262

Measured yesterday against content hash 2d4259d8d146, 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.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

  • start — 100% identical, 0 lines differ
  • start — 94% identical, 12 lines differ
  • start — 92% identical, 20 lines differ
  • start — 91% identical, 24 lines differ
.claude/commands/trellis/start.md · 390 lines

How it starts

The opening of the file, as written. The whole thing — 390 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Start Session

Initialize your AI development session and begin working on tasks.


Operation Types

Marker Meaning Executor
[AI] Bash scripts or Task calls executed by AI You (AI)
[USER] Slash commands executed by user User

Initialization [AI]

Step 1: Understand Development Workflow

First, read the workflow guide to understand the development process:

cat .trellis/workflow.md

Follow the instructions in workflow.md - it contains:

  • Core principles (Read Before Write, Follow Standards, etc.)
  • File system structure
  • Development process
  • Best practices

Step 2: Get Current Context

python3 ./.trellis/scripts/get_context.py

This shows: developer identity, git status, current task (if any), active tasks.

Step 3: Read Guidelines Index

cat .trellis/spec/frontend/index.md  # Frontend guidelines
cat .trellis/spec/backend/index.md   # Backend guidelines
cat .trellis/spec/guides/index.md    # Thinking guides
cat .trellis/spec/unit-test/index.md # Testing guidelines

Important: The index files are navigation — they list the actual guideline files (e.g., error-handling.md, conventions.md, mock-strategies.md). At this step, just read the indexes to understand what's available. When you start actual development, you MUST go back and read the specific guideline files relevant to your task, as listed in the index's Pre-Development Checklist.

Step 4: Report and Ask

Report what you learned and ask: "What would you like to work on?"


Task Classification

When user describes a task, classify it:

Type Criteria Workflow
Question User asks about code, architecture, or how something works Answer directly
Trivial Fix Typo fix, comment update, single-line change Direct Edit
Simple Task Clear goal, 1-2 files, well-defined scope Quick confirm → Implement
Complex Task Vague goal, multiple files, architectural decisions Brainstorm → Task Workflow

Read the full file on GitHub · 390 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. yesterday First seen · 390 lines · 0 tokens per session scan A 2d4259d8d146

Subscribe to this mod's changes

start is a command published in the GitHub repository mistydew/tokenicode-deepseek-alpha (367 stars, last pushed 27d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,624 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 2026-08-30.