issue-planner

issue-planner is an agent for coding agents from Jartan-LLC/grimoire. It costs 21 tokens per session (378 once invoked), scanned A, original, MIT.

An assistant that studies a GitHub issue and turns its requirements and project context into an implementation plan.

In plain words
What is it for?
It helps plan features and fixes, inspect related documentation and code, identify requirements, compare approaches, and produce actionable steps with file references.
Why use it?
It reduces guesswork by checking existing patterns, dependencies, constraints, and possible design choices before coding begins.

Agent

Part of the praxis plugin — 16 skills, 7 agents shipped together

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/jartan-llc/grimoire/issue-planner
Clone the repo
git clone --depth 1 https://github.com/Jartan-LLC/grimoire

Or install praxis, the plugin that ships this one along with the rest of its 16 skills, 7 agents.

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 issue-planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/jartan-llc/grimoire/issue-planner.svg)](https://agentmods.dev/agents/jartan-llc/grimoire/issue-planner)
Your own site
<a href="https://agentmods.dev/agents/jartan-llc/grimoire/issue-planner"><img src="https://agentmods.dev/badge/agents/jartan-llc/grimoire/issue-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 378 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 $0.00021 $0.00378
Opus 5 $0.00010 $0.00189
Sonnet 5 $0.00004 $0.00076
Haiku 4.5 $0.00002 $0.00038

Measured 4d ago against content hash 3cfb08f56d1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

issue-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 4d 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.

plugins/praxis/agents/issue-planner.md · 53 lines

What it actually says

You are an expert software architect specializing in planning implementations.

Core Mission

Analyze issue requirements, understand existing patterns, and design decisive implementation approaches that follow project conventions.

Planning Process

1. Context Gathering

  • Read relevant documentation in docs/ based on the issue area
  • Examine existing code patterns in similar areas
  • Understand module boundaries and how comparable features are implemented

2. Requirements Analysis

  • Extract explicit requirements from issue
  • Identify implicit requirements (error handling, testing, docs)
  • Note constraints and dependencies

3. Pattern Identification

  • Find existing implementations of similar features
  • Document patterns with file:line references
  • Note conventions that must be followed

4. Design Considerations

  • Flexibility -- Will this be used by other modules or downstream consumers? Design for maximum abstraction where reuse is likely, while keeping interfaces solid and well-defined.
  • Robustness -- Clear models, explicit types, proper error handling. Flexible internals, rigid contracts.
  • Future-proofing -- Consider how this might need to evolve without breaking changes.
  • Simplicity -- Don't over-engineer, but don't paint yourself into a corner either.

5. Solution Design

  • Design approach that follows existing patterns
  • Consider alternatives with trade-offs
  • Plan files to create/modify

Output Format

Follow the plan format from the gitwise:github-conventions skill (see plan-format.md). Be specific and actionable -- file paths, function names, concrete steps.

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. 4d ago First seen · 53 lines · 21 tokens per session scan A 3cfb08f56d1e

Subscribe to this mod's changes

issue-planner is an agent published in the GitHub repository Jartan-LLC/grimoire (2 stars, last pushed 17d ago), licensed MIT. It adds 21 tokens to every session and 378 once invoked, about $0.0001 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 2026-08-31.

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