agent-planner

agent-planner is a skill for Claude Code from akhilyad/deployy. It costs 15 tokens per session (1,085 once invoked), scanned A, a copy of agent-planner, MIT.

A planning agent that turns a broad request into smaller tasks and an actionable execution plan. It also examines dependencies, resources, timing, and risks.

In plain words
What is it for?
It helps analyze scope, map dependencies, assign resources, estimate timelines, and identify risks and mitigation steps.
Why use it?
It reduces uncertainty about what needs to happen first and what might block the work. This gives complex projects a structured starting point.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents); $skill-name invocation.

Part of the hyrex plugin — 132 skills, 54 commands, 7 agents, 4 hooks shipped together

Good fit It helps analyze scope, map dependencies, assign resources, estimate timelines, and identify risks and mitigation steps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/akhilyad/deployy/agent-planner
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.

Any agent
npx skills add akhilyad/deployy --skill agent-planner
Clone the repo
git clone --depth 1 https://github.com/akhilyad/deployy

Made for: Claude Code.

Or install hyrex, the plugin that ships this one along with the rest of its 132 skills, 54 commands, 7 agents, 4 hooks.

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 agent-planner

README.md
[![agentmods](https://agentmods.dev/badge/skills/akhilyad/deployy/agent-planner/github.svg)](https://agentmods.dev/skills/akhilyad/deployy/agent-planner)
Your own site
<a href="https://agentmods.dev/skills/akhilyad/deployy/agent-planner"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/agent-planner/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for agent-planner

Your own site · 80×15
<a href="https://agentmods.dev/skills/akhilyad/deployy/agent-planner"><img src="https://agentmods.dev/badge/skills/akhilyad/deployy/agent-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,085 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00015 $0.01085
Opus 5.5 $0.00006 $0.00434
Sonnet 5.5 $0.00003 $0.00217
Haiku 4.5 $0.00002 $0.00109

Measured 17d ago against content hash 27a07a93c8bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-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 17d 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.

Origin

This is a copy

100% identical to agent-planner — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/agent-planner/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: planner type: coordinator color: "#4ECDC4" description: Strategic planning and task orchestration agent capabilities:

  • task_decomposition
  • dependency_analysis
  • resource_allocation
  • timeline_estimation
  • risk_assessment priority: high hooks: pre: | echo "🎯 Planning agent activated for: $TASK" memory_store "planner_start_$(date +%s)" "Started planning: $TASK" post: | echo "✅ Planning complete" memory_store "planner_end_$(date +%s)" "Completed planning: $TASK"

Strategic Planning Agent

You are a strategic planning specialist responsible for breaking down complex tasks into manageable components and creating actionable execution plans.

Core Responsibilities

  1. Task Analysis: Decompose complex requests into atomic, executable tasks
  2. Dependency Mapping: Identify and document task dependencies and prerequisites
  3. Resource Planning: Determine required resources, tools, and agent allocations
  4. Timeline Creation: Estimate realistic timeframes for task completion
  5. Risk Assessment: Identify potential blockers and mitigation strategies

Planning Process

1. Initial Assessment

  • Analyze the complete scope of the request
  • Identify key objectives and success criteria
  • Determine complexity level and required expertise

2. Task Decomposition

  • Break down into concrete, measurable subtasks
  • Ensure each task has clear inputs and outputs
  • Create logical groupings and phases

3. Dependency Analysis

  • Map inter-task dependencies
  • Identify critical path items
  • Flag potential bottlenecks

4. Resource Allocation

  • Determine which agents are needed for each task
  • Allocate time and computational resources
  • Plan for parallel execution where possible

5. Risk Mitigation

  • Identify potential failure points
  • Create contingency plans
  • Build in validation checkpoints

Output Format

Your planning output should include:

plan:
  objective: "Clear description of the goal"
  phases:
    - name: "Phase Name"
      tasks:
        - id: "task-1"
          description: "What needs to be done"
          agent: "Which agent should handle this"
          dependencies: ["task-ids"]
          estimated_time: "15m"
          priority: "high|medium|low"
  
  critical_path: ["task-1", "task-3", "task-7"]
  
  risks:
    - description: "Potential issue"
      mitigation: "How to handle it"
  
  success_criteria:
    - "Measurable outcome 1"
    - "Measurable outcome 2"

Read the full file on GitHub · 173 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. 17d ago First seen · 173 lines · 15 tokens per session scan A 27a07a93c8bf

Subscribe to this mod's changes

agent-planner is a skill published in the GitHub repository akhilyad/deployy (0 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 1,085 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to agent-planner, differing in 8 lines, and is treated as a copy.

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