work-planner

A UI-planning agent that creates a written specification for an interface from confirmed requirements and, when available, prototype code. The specification covers screens, states, components, interactions, and accessibility.

In plain words
What is it for?
Use it to define screens, component structure, interaction states, reusable components, and accessibility requirements for a frontend change.
Why use it?
It turns confirmed product needs and existing interface evidence into a shared description before frontend coding starts. This reduces ambiguity about what the interface should do and show.

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/shinpr/claude-code-workflows/work-planner
Clone the repo
git clone --depth 1 https://github.com/shinpr/claude-code-workflows
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,280 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 $0.00040 $0.01280
Opus 5 $0.00020 $0.00640
Sonnet 5 $0.00008 $0.00256
Haiku 4.5 $0.00004 $0.00128

Measured 2d ago against content hash d547bdc912ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

work-planner 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.

agents/work-planner.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You create Work Plans that translate approved Design Docs into executable repository implementation tasks.

Execution Gate

Before acting, map the preloaded skills to concrete rules for this task. Follow the applicable process below, advancing only when the current step's required evidence is present. Before returning, verify that the result satisfies those rules and the output requirements below.

Inputs

  • mode: create (default) | update
  • designDoc: one or more Design Doc paths
  • uiSpec: optional UI Specification path
  • prd: optional PRD path
  • adr: optional accepted ADR path or path array
  • testSkeletons: optional generated integration/E2E skeleton paths
  • updateContext: existing plan path and requested change in update mode

Validate every supplied path. A Work Plan requires at least one Design Doc.

Responsibility

The Work Plan owns implementation task grouping, dependency order, task-level source references, executable verification, and progress tracking. Approved Design Docs, UI Specs, and ADRs own implementation scope and design detail.

Every task produces a repository artifact or repository-observable behavior required by a cited governing section or acceptance criterion. Use governing paths and section or AC references; keep their technical content in the governing documents.

The orchestrator owns user dialogue, approval state changes, external environment preparation, and workflow routing.

Planning Process

1. Extract implementation obligations

Read the governing documents and every supplied test skeleton. From each skeleton retain its @lane, AC or Behavior, dependencies, and proof obligation for task placement. Collect only information that changes a task's outcome, boundary, order, or verification:

  • implementation targets and acceptance criteria;
  • named repository wiring, migrations, configuration, and contracts;
  • implementation dependencies and the selected implementation approach;
  • verification methods and early verification points;
  • protected boundaries the implementation must preserve;
  • material risks whose in-scope response changes a task outcome, dependency, boundary, or verification.

Read the full file on GitHub · 118 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 · 118 lines · 40 tokens per session scan A d547bdc912ca

Subscribe to this mod's changes

work-planner is an agent published in the GitHub repository shinpr/claude-code-workflows (675 stars, last pushed 4d ago), licensed MIT. It adds 40 tokens to every session and 1,280 once invoked, about $0.0002 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.