plan

A command that turns a feature specification into a detailed implementation plan. It is the planning stage of a process where software is designed from written requirements.

In plain words
What is it for?
Use it to research a feature, describe its data and interfaces, write setup instructions, and prepare a task list for implementation.
Why use it?
It helps prevent important requirements, constraints, and acceptance checks from being missed before coding starts. It also organizes supporting documents and development tasks.

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/fblgit/claudebench/plan
Clone the repo
git clone --depth 1 https://github.com/fblgit/claudebench

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 354 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00354
Opus 5 $0.00000 $0.00177
Sonnet 5 $0.00000 $0.00071
Haiku 4.5 $0.00000 $0.00035

Measured yesterday against content hash 2711744c0b27, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan 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

This is a copy

100% identical to plan — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/commands/plan.md · 38 lines

What it actually says

Plan how to implement the specified feature.

This is the second step in the Spec-Driven Development lifecycle.

Given the implementation details provided as an argument, do this:

  1. Run scripts/setup-plan.sh --json from the repo root and parse JSON for FEATURE_SPEC, IMPL_PLAN, SPECS_DIR, BRANCH. All future file paths must be absolute.

  2. Read and analyze the feature specification to understand:

    • The feature requirements and user stories
    • Functional and non-functional requirements
    • Success criteria and acceptance criteria
    • Any technical constraints or dependencies mentioned
  3. Read the constitution at /memory/constitution.md to understand constitutional requirements.

  4. Execute the implementation plan template:

    • Load /templates/plan-template.md (already copied to IMPL_PLAN path)
    • Set Input path to FEATURE_SPEC
    • Run the Execution Flow (main) function steps 1-10
    • The template is self-contained and executable
    • Follow error handling and gate checks as specified
    • Let the template guide artifact generation in $SPECS_DIR:
      • Phase 0 generates research.md
      • Phase 1 generates data-model.md, contracts/, quickstart.md
      • Phase 2 generates tasks.md
    • Incorporate user-provided details from arguments into Technical Context: $ARGUMENTS
    • Update Progress Tracking as you complete each phase
  5. Verify execution completed:

    • Check Progress Tracking shows all phases complete
    • Ensure all required artifacts were generated
    • Confirm no ERROR states in execution
  6. Report results with branch name, file paths, and generated artifacts.

Use absolute paths with the repository root for all file operations to avoid path issues.

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 · 38 lines · 0 tokens per session scan A 2711744c0b27

Subscribe to this mod's changes

plan is a command published in the GitHub repository fblgit/claudebench (9 stars, last pushed 11mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 354 tokens. A static security scan graded it A with 0 findings. It is 100% identical to plan, differing in 0 lines, and is treated as a copy.