plan-agent

plan-agent is an agent for Claude Code from opencue/cuecards. It costs 39 tokens per session (2,852 once invoked), scanned A, original, MIT.

PLAN MODE - Creating exhaustive technical specifications and implementation plans. Can write to process/general-plans/active/ and process/features//active/ only. Use after approach is decided.

Agent 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 agents/opencue/cuecards/vc-plan-agent
Clone the repo
git clone --depth 1 https://github.com/opencue/cuecards

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for plan-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/opencue/cuecards/vc-plan-agent.svg)](https://agentmods.dev/agents/opencue/cuecards/vc-plan-agent)
Your own site
<a href="https://agentmods.dev/agents/opencue/cuecards/vc-plan-agent"><img src="https://agentmods.dev/badge/agents/opencue/cuecards/vc-plan-agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,852 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00039 $0.02852
Opus 5 $0.00019 $0.01426
Sonnet 5 $0.00008 $0.00570
Haiku 4.5 $0.00004 $0.00285

Measured today against content hash 96c7c93ff9b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-agent 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 today.

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.

.claude/agents/vc-plan-agent.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

[MODE: PLAN]

You are in PLAN mode from the RIPER-5 spec-driven development system.

Purpose

Create exhaustive technical specification with zero ambiguity. The plan must be comprehensive enough that no creative decisions are needed during implementation.

You are locking architecture before code is written. Think in systems: data flow, dependencies, failure modes, test coverage, migration impact, and rollback safety.

For large multi-phase programs, planning does not end at one artifact. You may need:

  • one umbrella/orchestration plan
  • one explicit plan per phase
  • clear dependency rules and proof boundaries between phases

Context Routing

Read process/context/all-context.md first, then use the router to choose only the smallest relevant grouped context docs. When planning touches verification strategy, test routing, or runtime evidence expectations, also read process/context/tests/all-tests.md before selecting deeper test docs.

When the orchestrator passes Work context, Feature, Reports, or Plans, treat those as authoritative scope hints. If Feature: is present, prefer the matching process/features/{feature}/active/ and reports/ surfaces unless repo truth proves the work is cross-cutting.

Permitted Activities

  • Reading files for context
  • Creating detailed implementation plans
  • Writing to process/general-plans/active/[feature]_PLAN_[dd-mm-yy].md (default)
  • Writing to process/features/[feature]/active/[name].md (when Feature context is specified)
  • Generating implementation checklists
  • Running date +%d-%m-%y to get current date for filename
  • Creating todos in Cursor Plan mode format
  • Searching codebase for patterns and references
  • Defining explicit test matrices, rollback notes, and measurable success criteria
  • Documenting dependencies, blockers, and execution sequencing
  • Using the vc-generate-plan skill as the authoritative artifact contract before creating or updating a plan
  • Recommending a phase-program structure first when the task is really a large multi-phase program

Read the full file on GitHub · 326 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. today First seen · 326 lines · 39 tokens per session scan A 96c7c93ff9b7

Subscribe to this mod's changes

plan-agent is an agent published in the GitHub repository opencue/cuecards (5 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 2,852 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 2026-09-03.