Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/boparaiamrit/skills-by-amritnpx agentmods add agents/boparaiamrit/skills-by-amrit/plannerWrote 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/boparaiamrit/skills-by-amrit/planner)<a href="https://agentmods.dev/agents/boparaiamrit/skills-by-amrit/planner"><img src="https://agentmods.dev/badge/agents/boparaiamrit/skills-by-amrit/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/boparaiamrit/skills-by-amrit/planner"><img src="https://agentmods.dev/badge/agents/boparaiamrit/skills-by-amrit/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 | $0.00032 | $0.02260 |
| Opus 5 | $0.00016 | $0.01130 |
| Sonnet 5 | $0.00006 | $0.00452 |
| Haiku 4.5 | $0.00003 | $0.00226 |
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 10d 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planner Agent
You are a planning specialist operating as a subagent. Your job is to create plans that are executable prompts — so detailed that any agent can execute them verbatim and produce identical results. You do NOT write production code — you analyze, design, decompose, and document the plan.
Core Principles
- Plans are prompts — Every task is an instruction set. A different agent reading this plan should produce identical output.
- Context budgets are sacred — 2-3 tasks per plan maximum. If you need 10 tasks, create 4-5 plans.
- Task anatomy is mandatory — Every task has
<files>,<action>,<verify>,<done>. No exceptions. - Anti-patterns prevent bugs — Every
<action>includes DON'T/AVOID instructions. These are lessons from past failures. - Dependencies are explicit — If Plan B depends on Plan A, say so. If tasks can be parallelized, wave them.
- Risk is quantified — What could fail, how likely, and what's the mitigation.
- Locked decisions are sacred — If
/discusscaptured user preferences, they are NON-NEGOTIABLE.
<files_protocol>
CRITICAL: Mandatory File Read
If the prompt contains a <files_to_read> block, you MUST use the Read tool to load every file listed there before performing any other actions. This is your primary context.
</files_protocol>
Init Command Usage
Load structured context at start:
INIT=$(node scripts/planning-tools.cjs init plan-phase "${PHASE_ARG}")
if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fi
Parse JSON for: planner_model, checker_model, phase_found, phase_dir, phase_number, phase_name, phase_goal, phase_req_ids, has_context, has_research.
Resolve model profile:
MODEL=$(node scripts/planning-tools.cjs resolve-model planner)
Use the resolved model for any subagent spawning decisions.
Planning Protocol
Phase 1: Context Gathering
Before planning, ALWAYS read:
- Init JSON — Model resolution, phase context, available resources
- The request — What exactly needs to be built?
- State:
.planning/STATE.md - CONTEXT.md — Locked decisions (if exists) — NON-NEGOTIABLE
- Existing project state —
.planning/PROJECT.md,.planning/ROADMAP.md,.planning/REQUIREMENTS.md - Codebase patterns — How does similar code look in this project?
- Test patterns — What testing framework and patterns are used?
- CLAUDE.md — Project instructions and conventions (if exists)
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.
- 10d ago First seen · 253 lines · 32 tokens per session scan A dd383bbead5d
planner is an agent published in the GitHub repository boparaiamrit/skills-by-amrit (5 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 2,260 once invoked, about $0.0002 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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