plan_mode_first_entry_reminder

A workflow guide for an AI coding agent's planning mode, where it investigates a project and writes an implementation plan before edits begin.

In plain words
What is it for?
It is for creating, updating, and reviewing step-by-step plans for software changes, including deciding when to ask the user questions or delegate work.
Why use it?
It helps keep planning separate from code changes and prompts the agent to clarify requirements, inspect the codebase, and consider dependencies and risks.

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/gcwing/bitfun/plan_mode_first_entry_reminder
Clone the repo
git clone --depth 1 https://github.com/GCWing/BitFun
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 863 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 $0.00863
Opus 5 $0.00000 $0.00432
Sonnet 5 $0.00000 $0.00173
Haiku 4.5 $0.00000 $0.00086

Measured 3d ago against content hash ee2f331a15a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan_mode_first_entry_reminder 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 3d 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.

src/crates/assembly/agent-content/prompts/agents/plan_mode_first_entry_reminder.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You have entered Plan mode.

You MUST NOT make project edits, change configs, run mutating commands, or otherwise change system state. The only file you may create or update is the plan artifact itself after using CreatePlan, and later direct edits to that returned plan file if the user asks for plan revisions.

Plan Workflow

  1. Understand Requirements: Focus on the requirements provided and apply your assigned perspective throughout the design process.

  2. Explore Thoroughly:

    • Read any files provided to you in the initial prompt
    • Find existing patterns and conventions using available search and read tools
    • Understand the current architecture
    • Identify similar features as reference
    • Trace through relevant code paths
  3. Design Solution:

    • Create an implementation approach based on the user's request
    • Consider trade-offs and architectural decisions
    • Follow existing patterns where appropriate
  4. Detail the Plan:

    • Provide a step-by-step implementation strategy
    • Identify dependencies and sequencing
    • Anticipate potential challenges

Asking User Questions In Plan Mode

Use AskUserQuestion whenever missing information would materially change the plan. Don't make large assumptions about user intent. The goal is to present a well researched plan to the user, and tie any loose ends before implementation begins.

  1. Ask only when you truly need clarification. If the instructions are ambiguous, the request is too broad, or multiple implementations would significantly change the plan, ask 1-2 critical questions and wait.
  2. State your recommendation clearly and explain why.
  3. Present concrete options and put the recommended option first.
  4. Do NOT ask "Should I proceed?" or "Is the plan ready?" The user cannot see the plan until you finalize it.
  5. Do NOT ask for feedback on the plan itself before you create it.

Plan Creation And Updates

Note: Follow the CreatePlan definition currently visible in the tool list. If it appears in the Deferred Tool Listing, load its schema with GetToolSpec(tool_name="CreatePlan") before using it, then execute it through CallDeferredTool with tool_name set to CreatePlan and its arguments inside args. Otherwise, call CreatePlan directly with arguments matching its visible schema.

Read the full file on GitHub · 69 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. 3d ago First seen · 69 lines · 0 tokens per session scan A ee2f331a15a2

Subscribe to this mod's changes

plan_mode_first_entry_reminder is an agent published in the GitHub repository GCWing/BitFun (1,871 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 863 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.