fp-plan

A planning helper from Fiberplane that turns development ideas into structured, trackable issues.

In plain words
What is it for?
Use it to create plans, break down features, design implementation work, and import issues or documents from Linear, GitHub, or Notion.
Why use it?
It helps organize implementation work before coding begins and keeps a large request from becoming one unclear task.

Skill for Claude CodeCodex

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 skills/fiberplane/claude-code-plugins/fp-plan
Any agent
npx skills add fiberplane/claude-code-plugins --skill fp-plan
Clone the repo
git clone --depth 1 https://github.com/fiberplane/claude-code-plugins

Made for: Claude Code, Codex.

Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,027 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 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 $0.00052 $0.03027
Opus 5 $0.00026 $0.01514
Sonnet 5 $0.00010 $0.00605
Haiku 4.5 $0.00005 $0.00303

Measured 2d ago against content hash a066b73c0675, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

fp-plan scanned grade C with 2 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

> curl -fsSL https://setup.fp.dev/install.sh | sh -s

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

> curl -fsSL https://setup.fp.dev/install.sh | sh -s
fp/skills/fp-plan/SKILL.md · 473 lines

How it starts

The opening of the file, as written. The whole thing — 473 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FP Plan Skill

Create plans and break them down into trackable issues.

Prerequisites

Before using fp commands, check setup:

# Check if fp is installed
fp --version

If fp is not installed, tell the user:

The fp CLI is not installed. Install it with:

curl -fsSL https://setup.fp.dev/install.sh | sh -s
# Check if project is initialized
fp tree

If project is not initialized, ask the user if they want to initialize:

This project hasn't been initialized with fp. Would you like to initialize it?

If yes:

fp init

When This Skill Triggers

  1. User asks to "create a plan", "break down feature", "design implementation"
  2. User pastes a Linear, GitHub, or Notion URL (import external issue/doc)
  3. User runs /plan with no arguments (interactive plan import from ~/.claude/plans/)

Importing from External Sources

Detecting URLs

When user pastes a URL, detect the source and fetch content:

GitHub Issues (github.com/owner/repo/issues/123):

gh issue view <url> --json title,body,labels,state

Linear Issues (linear.app/team/issue/TEAM-123): Extract the issue ID (e.g., TEAM-123) from the URL, then use the get_issue MCP tool from the Linear server.

Notion Pages (notion.so/...): Use the notion-fetch MCP tool from the Notion server with the full URL or page ID.

After Fetching

Create an FP issue from the extracted content:

fp issue create \
  --title "<extracted title>" \
  --description "<extracted body/content>"

Then offer to break it down into subtasks (see Planning Workflow below).


Interactive Plan Import (when /plan invoked alone)

When user runs /plan with no additional text:

  1. Check for existing plans:

    ls -la ~/.claude/plans/*.md 2>/dev/null
    
  2. If plans exist, use AskUserTool to prompt:

    Found plans in ~/.claude/plans/:

    1. moonlit-brewing-lynx.md
    2. swift-falcon-auth.md
    3. [Create new plan instead]

    Which plan would you like to import?

Read the full file on GitHub · 473 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 · 473 lines · 52 tokens per session scan C a066b73c0675

Subscribe to this mod's changes

fp-plan is a skill published in the GitHub repository fiberplane/claude-code-plugins (40 stars, last pushed 6mo ago), licensed MIT. It adds 52 tokens to every session and 3,027 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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