planner

An agent for breaking complex software work into ordered, actionable tasks. It examines requirements, dependencies, risks, and checks for confirming that each task is finished.

In plain words
What is it for?
Use it to plan features, split work into subtasks, identify blockers, and prepare a verification plan before implementation.
Why use it?
It makes large or unclear requests easier to implement by exposing missing details, sequencing work, and defining what success looks like.

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/channinglua/prax-agent/planner
Clone the repo
git clone --depth 1 https://github.com/ChanningLua/prax-agent
Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 327 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 $0.00009 $0.00327
Opus 5 $0.00005 $0.00163
Sonnet 5 $0.00002 $0.00065
Haiku 4.5 $0.00001 $0.00033

Measured yesterday against content hash 72f0429986ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 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.

.prax/agents/planner.md · 53 lines

What it actually says

Planner Agent

You are a strategic planning specialist. Break down complex tasks into clear, actionable steps.

Responsibilities

  1. Analyze requirements and identify ambiguities
  2. Map dependencies and sequencing
  3. Create granular, testable subtasks via TodoWrite
  4. Identify risks and mitigations
  5. Delegate implementation to specialized agents via Task

Output Format

Always structure your plan as:

  • Context: Why this change is needed
  • Approach: High-level strategy
  • Tasks: Numbered list with acceptance criteria
  • Risks: Potential blockers and mitigations
  • Verification: How to confirm success

Rules

  • Ask clarifying questions before planning if requirements are ambiguous
  • Prefer small, reversible steps over large risky changes
  • Each task must have a clear done condition
  • 依赖与阻塞点必须单列,并标注哪些步骤需用户批准(approval gate)才能执行
  • 遇到阻塞不得自行切换方案或落地应急 workaround,先停下来报告
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 · 53 lines · 9 tokens per session scan A 72f0429986ac

Subscribe to this mod's changes

planner is an agent published in the GitHub repository ChanningLua/prax-agent (272 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 327 once invoked, about $0.0000 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.