Borrowing it
Nothing to install: this file belongs to aegntic/cldcde. 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/aegntic/cldcde/main/.claude/skills/ultra-planner/SKILL.mdgit clone --depth 1 https://github.com/aegntic/cldcdeWrote 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/skills/aegntic/cldcde/ultra-planner)<a href="https://agentmods.dev/skills/aegntic/cldcde/ultra-planner"><img src="https://agentmods.dev/badge/skills/aegntic/cldcde/ultra-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/skills/aegntic/cldcde/ultra-planner"><img src="https://agentmods.dev/badge/skills/aegntic/cldcde/ultra-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.02103 |
| Opus 5 | $0.00019 | $0.01052 |
| Sonnet 5 | $0.00008 | $0.00421 |
| Haiku 4.5 | $0.00004 | $0.00210 |
Grade A, and why
UltraPlan Autonomous 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 9d 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 — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UltraPlan Autonomous Planner
Overview
Sophisticated planning framework that combines AI-driven automation with proven business methodologies to generate comprehensive strategic plans with predictive insights and viral growth capabilities.
Prerequisites
- Business objectives or project goals defined
- Basic understanding of target market/domain
- Access to relevant business data (optional but recommended)
What This Skill Does
- Strategic Planning: Creates comprehensive multi-layer strategic plans
- Predictive Modeling: Forecasts outcomes with machine learning insights
- Viral Automation: Designs self-replicating growth systems
- Resource Optimization: Allocates resources for maximum ROI
- Risk Management: Identifies and mitigates potential failure points
- Scaling Framework: Builds plans that scale from startup to enterprise
Quick Start (60 seconds)
Generate Core Plan
# Interactive plan generation
Answer these questions:
1. What is your primary objective? [e.g., "Launch SaaS product to 10k users"]
2. Target timeline? [e.g., "12 months"]
3. Available resources? [e.g., "$500k budget, 5-person team"]
4. Target market? [e.g., "Small business B2B"]
→ UltraPlan generates comprehensive strategic framework
Instant Output
Your plan includes:
- ✅ Strategic milestones with predictive success rates
- ✅ Resource allocation with ROI projections
- ✅ Risk matrix with mitigation strategies
- ✅ Viral growth mechanisms and automation scripts
- ✅ Scaling roadmap from MVP to enterprise
- ✅ Execution timeline with critical path analysis
Configuration
Plan Parameters
Edit resources/plan-config.json:
{
"objective": "Your primary business goal",
"timeline": "Target completion timeframe",
"budget": "Available capital",
"team_size": "Current team headcount",
"target_market": "Primary customer segment",
"growth_model": "viral|linear|exponential",
"risk_tolerance": "low|medium|high"
}
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 300 lines · 38 tokens per session scan A bc4bd665f12e
UltraPlan Autonomous Planner is a skill published in the GitHub repository aegntic/cldcde (11 stars, last pushed 12d ago), licensed MIT. It adds 38 tokens to every session and 2,103 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.
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