meta-planner-optimization

meta-planner-optimization is a skill for Cursor from budagov-lab/DreamTeam. It costs 39 tokens per session (261 once invoked), scanned A, original, MIT.

A planning aid for reorganising a task dependency graph, where tasks are linked in the order they must be completed.

In plain words
What is it for?
Use it after 50 completed tasks, when the system signals it, or when the task graph needs new tasks, refactoring work, or priority changes.
Why use it?
It helps find bottlenecks, oversized tasks, missing work, and accumulated technical debt—the maintenance work created by earlier shortcuts.

Skill for Cursor

Written for Cursor: installed under .cursor/.

Good fit Use it after 50 completed tasks, when the system signals it, or when the task graph needs new tasks, refactoring work, or priority changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/budagov-lab/dreamteam/meta-planner-optimization
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.

Any agent
npx skills add budagov-lab/DreamTeam --skill meta-planner-optimization
Clone the repo
git clone --depth 1 https://github.com/budagov-lab/DreamTeam

Made for: Cursor.

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 meta-planner-optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/budagov-lab/dreamteam/meta-planner-optimization/github.svg)](https://agentmods.dev/skills/budagov-lab/dreamteam/meta-planner-optimization)
Your own site
<a href="https://agentmods.dev/skills/budagov-lab/dreamteam/meta-planner-optimization"><img src="https://agentmods.dev/badge/skills/budagov-lab/dreamteam/meta-planner-optimization/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.

agentmods 80×15 button for meta-planner-optimization

Your own site · 80×15
<a href="https://agentmods.dev/skills/budagov-lab/dreamteam/meta-planner-optimization"><img src="https://agentmods.dev/badge/skills/budagov-lab/dreamteam/meta-planner-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 261 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00039 $0.00261
Opus 5.5 $0.00016 $0.00104
Sonnet 5.5 $0.00008 $0.00052
Haiku 4.5 $0.00004 $0.00026

Measured 2mo ago against content hash 51e5802536be, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

meta-planner-optimization 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 2mo 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.

.cursor/skills/meta-planner-optimization/SKILL.md · 33 lines

What it actually says

Meta Planner Optimization

When to Use

  • When python -m dreamteam update-task <id> done prints TRIGGER_META_PLANNER (source of truth)
  • After every 50 completed tasks
  • When DAG has bottlenecks or tech debt accumulates

Workflow

  1. Read from DB: Terminal → python -m dreamteam dag-state, python -m dreamteam memory-get summaries, python -m dreamteam memory-get architecture
  2. Analyze: Review DAG, task distribution, tech debt
  3. Identify: Bottlenecks, oversized tasks, missing tasks
  4. Optimize: Resplit tasks, add refactor tasks, adjust priorities
  5. Output: New task files in .dreamteam/tasks/, architecture recommendations for Researcher

Output

  • New task files
  • Refactor tasks added to DAG
  • Architecture change recommendations for Researcher

Rules

  • Do not break existing dependencies
  • Refactor tasks should have clear scope
  • Document rationale for changes
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. 2mo ago First seen · 33 lines · 39 tokens per session scan A 51e5802536be

Subscribe to this mod's changes

meta-planner-optimization is a skill published in the GitHub repository budagov-lab/DreamTeam (1 stars, last pushed 7mo ago), licensed MIT. It adds 39 tokens to every session and 261 once invoked, about $0.0002 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 2026-08-31.

Related

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