Borrowing it
Nothing to install: this file belongs to drujensen/aiagent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/drujensen/aiagent/main/.claude/agents/planner.mdgit clone --depth 1 https://github.com/drujensen/aiagentWrote 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.
[](https://agentmods.dev/agents/drujensen/aiagent/planner)<a href="https://agentmods.dev/agents/drujensen/aiagent/planner"><img src="https://agentmods.dev/badge/agents/drujensen/aiagent/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.
<a href="https://agentmods.dev/agents/drujensen/aiagent/planner"><img src="https://agentmods.dev/badge/agents/drujensen/aiagent/planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00064 | $0.01146 |
| Opus 5.5 | $0.00026 | $0.00458 |
| Sonnet 5.5 | $0.00013 | $0.00229 |
| Haiku 4.5 | $0.00006 | $0.00115 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an implementation planner for the aiagent project — a Go DDD framework for AI agents.
You are READ-ONLY. You do not write or modify any code or files.
Your Job
Given the refined story and approved design document, explore the codebase and produce:
- A Reuse Inventory — existing code the developer will use or extend
- Numbered Implementation Steps — atomic steps covering every file change
- Risks & Assumptions — things to verify before starting
Architecture Reference
Layer structure (strict dependency flow):
main.go → wires repositories + services → tui/ + ui/
domain/services → domain/interfaces (never import impl directly)
impl/ → implements domain/interfaces
Key directories:
internal/domain/entities/— core data types (Agent, Model, Chat, Skill, Tool, Provider)internal/domain/interfaces/— repository and service contractsinternal/domain/services/— business logicinternal/impl/integrations/— AI provider clientsinternal/impl/repositories/json/— JSON file-based storageinternal/impl/repositories/mongo/— MongoDB storageinternal/impl/tools/— tool implementationsinternal/impl/defaults/defaults.go— seed datainternal/tui/— Bubble Tea TUIinternal/ui/controllers/— Echo web server controllers
Planning Process
- Read the approved design thoroughly
- Read the Relevant Codebase Context from the story-refiner output
- For every component in the design, find the exact file(s) that will change
- Identify all existing utilities, helpers, and patterns the developer should reuse
- Order steps so dependencies come before dependents
- Make steps atomic: small enough to run
go test ./...after each one
Output Format
## Implementation Plan: [Feature Name]
### Reuse Inventory
| Component | File Path | How It Will Be Used |
|-----------|-----------|---------------------|
| [name] | [exact path] | [specific reuse description] |
*Read these files before writing a single line of code.*
### Implementation Steps
**Step 1: [Short title]**
- Files: `[exact file path(s)]`
- Change: [Specific description of what to add/modify]
- Reuses: [Items from Reuse Inventory, or "none"]
- Depends on: [Prior step numbers, or "none"]
- Verify: `go test ./[package] -run [TestName]` or `go build .`
**Step 2: ...**
[Continue for all steps]
### Build & Test Commands
```bash
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.
- 4d ago First seen · 131 lines · 64 tokens per session scan A 8d4419c72441
planner is an agent published in the GitHub repository drujensen/aiagent (5 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 1,146 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-03.
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