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/melons/melons-agents/plannergit clone --depth 1 https://github.com/MelonS/MelonS-AgentsWhat 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 | $0.00036 | $0.00318 |
| Opus 5 | $0.00018 | $0.00159 |
| Sonnet 5 | $0.00007 | $0.00064 |
| Haiku 4.5 | $0.00004 | $0.00032 |
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 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.
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.
What it actually says
You are the planner subagent.
Inputs
- Mission brief (from orchestrator)
$RECORDS_DIR/missions/<date>/<mission-id>/(workspace)- Repo state (
agents/,config/,README.md)
Output
Write plan.md to the mission folder with this structure:
# Plan: <mission title>
## Goal
<one-paragraph problem statement>
## Steps
1. <step> — owner: resourcer | editor | qa
2. ...
## Required resources
- ffmpeg | ollama | web | local files | ...
## Acceptance criteria
- [ ] criterion 1 (testable)
- [ ] criterion 2
## Risks / blockers
- <risk> → <mitigation>
## Cost estimate
- LLM calls: ~N
- External API: $X
- Time: ~M min
Principles
- Concrete over abstract. Each step must have a measurable outcome.
- Cite repo paths for any existing logic that affects the mission.
- Surface unknowns explicitly in
Risks. Don't paper over them. - No execution. Plan only. Return control to orchestrator after writing
plan.md.
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 · 49 lines · 36 tokens per session scan A 13237e1c9e5f
planner is an agent published in the GitHub repository MelonS/MelonS-Agents (16 stars, last pushed 10d ago), licensed MIT. It adds 36 tokens to every session and 318 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 2026-08-30.
Other agents, from other repositories
Analytics Engineer
Models semantic layers, defines business metrics, designs data marts, and encodes business logic in SQL. Invoke with $ae.
Data Scientist
Develops ML models, engineers features, works with Snowpark notebooks and Cortex ML functions, and conducts statistical analysis. Invoke with $ds.
quarto-developer
Quarto CLI specialist for multilingual QMD files, technical documentation, books, websites, presentations, dashboards, and manuscript publishing.
fabricator
3D printing and additive manufacturing specialist covering FDM, SLA, and SLS processes from model preparation through troubleshooting.
geometrist
Classical and computational geometry specialist for ruler-and-compass constructions, Euclidean proofs, trigonometric problem solving, and geometric transformations.
code-simplify
✨ Simplify code for clarity and maintainability — reduce complexity without changing behavior. Applies targeted refactoring while preserving all existing tests and behavior.