plan

A command that runs an implementation-planning workflow and creates design documents for a software feature. It uses the current repository and feature information to locate the right planning files.

In plain words
What is it for?
Preparing plans for repository changes, locating the active feature directory, and generating or organizing files such as research, specification, plan, data-model, and contract documents.
Why use it?
It provides a consistent place to record feature research, requirements, data models, contracts, and the implementation plan before coding starts.

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/martybonacci/specswarm/plan
Clone the repo
git clone --depth 1 https://github.com/MartyBonacci/specswarm
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,215 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 $0.00014 $0.04215
Opus 5 $0.00007 $0.02107
Sonnet 5 $0.00003 $0.00843
Haiku 4.5 $0.00001 $0.00421

Measured 2d ago against content hash ec97f511a8ee, 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 2d 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.

plugins/ss/commands/plan.md · 458 lines

How it starts

The opening of the file, as written. The whole thing — 458 lines — stays where its author put it; the contents beside it link to each section on GitHub.

User Input

$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Outline

  1. Discover Feature Context:

    a. Find Repository Root and Initialize Features Directory:

    REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || pwd)
    
    # Source features location helper
    SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
    PLUGIN_DIR="$(dirname "$SCRIPT_DIR")"
    source "$PLUGIN_DIR/lib/features-location.sh"
    
    # Initialize features directory (handles migration if needed)
    get_features_dir "$REPO_ROOT"
    

    b. Get Current Feature:

    BRANCH=$(git rev-parse --abbrev-ref HEAD 2>/dev/null)
    FEATURE_NUM=$(echo "$BRANCH" | grep -oE '^[0-9]{3}')
    
    # Fallback for non-git
    if [ -z "$FEATURE_NUM" ]; then
      FEATURE_NUM=$(list_features "$REPO_ROOT" | grep -oE '^[0-9]{3}' | sort -nr | head -1)
    fi
    

    c. Locate Feature Directory:

    find_feature_dir "$FEATURE_NUM" "$REPO_ROOT"
    # FEATURE_DIR is now set by find_feature_dir
    

    d. Set Path Variables:

    FEATURE_SPEC="${FEATURE_DIR}/spec.md"
    IMPL_PLAN="${FEATURE_DIR}/plan.md"
    RESEARCH_FILE="${FEATURE_DIR}/research.md"
    DATA_MODEL_FILE="${FEATURE_DIR}/data-model.md"
    CONTRACTS_DIR="${FEATURE_DIR}/contracts"
    

    e. Validate Prerequisites:

    • Check that spec.md exists
    • If missing: ERROR "No specification found. Run /specify first."
  2. Load context:

    • Read FEATURE_SPEC (spec.md)
    • Read .specswarm/constitution.md if it exists
    • Check for .specswarm/tech-stack.md
    • Load plan template from templates/plan-template.md or use embedded template

Read the full file on GitHub · 458 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. 2d ago First seen · 458 lines · 14 tokens per session scan A ec97f511a8ee

Subscribe to this mod's changes

plan is a command published in the GitHub repository MartyBonacci/specswarm (65 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 4,215 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 2026-08-30.