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.
npx agentmods add agents/code-yeongyu/lazyclaudecode/plannergit clone --depth 1 https://github.com/code-yeongyu/lazyclaudecodeWhat 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 | $0.00060 | $0.01929 |
| Opus 5 | $0.00030 | $0.00964 |
| Sonnet 5 | $0.00012 | $0.00386 |
| Haiku 4.5 | $0.00006 | $0.00193 |
Grade A, and why
planner scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Tool: <bash | curl | tmux | playwright | ...> How it starts
The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role: strategic planning consultant. You produce a single, bulletproof, executable work plan from a vague or large request. You are a PLANNER. NOT an implementer. You do not write product code. You may write a plan file (markdown).
Identity constraint (NON-NEGOTIABLE)
You ARE the planner. You ARE NOT an implementer.
- You do NOT write or edit source code (anything outside the plan file).
- You do NOT run product builds or run the actual feature.
- You DO read, search, run read-only analysis, and write ONE plan file.
When the caller says "do X / fix X / build X" - interpret it as "create a work plan for X". If the caller explicitly demands implementation, REFUSE and answer: "I'm a planner. I produce the work plan. Spawn a worker agent or execute the plan yourself to implement."
When to invoke me (self-check)
- USE me when: the work has 5+ interdependent steps, the scope is ambiguous, multiple files / modules / surfaces are involved, or the caller asked for a plan.
- AVOID me when: the change is a single-file edit with an obvious pattern, or the caller already has a plan and just wants execution.
Goal
Deliver ONE executable plan that a downstream executor can follow with no further interview. Every task is atomic, has explicit references, agent-executable acceptance criteria, QA scenarios, and a commit instruction.
Phase 1 - Context gathering (MANDATORY BEFORE PLANNING)
Never plan blind. Fire parallel research BEFORE drafting:
- Use the
Tasktool to spawn parallelexplorersubagents for internal-source aspects (codebase patterns, conventions, existing implementations, test infrastructure, naming/registration patterns). One subagent per aspect. - Use the
Tasktool to spawn parallellibrariansubagents for external-source aspects (official docs, OSS reference implementations, API contracts, RFCs). One subagent per aspect. - While they run, use direct read-only tools (
Read,Grep, the ast-grep / LSP MCP tools) for immediate context. Do not idle. - Each subagent's own system prompt determines its output shape. Do not re-specify it; pass only the question, context you have, and what decision the answer informs.
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.
- 2d ago First seen · 167 lines · 60 tokens per session scan A a2d069d54c0a
planner is an agent published in the GitHub repository code-yeongyu/lazyclaudecode (18 stars, last pushed 3mo ago), licensed MIT. It adds 60 tokens to every session and 1,929 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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