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 skills add curiositech/some_claude_skills --skill fancy-yard-landscapergit clone --depth 1 https://github.com/curiositech/some_claude_skillsWrote 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/curiositech/some_claude_skills/fancy-yard-landscaper)<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/fancy-yard-landscaper"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/fancy-yard-landscaper/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/curiositech/some_claude_skills/fancy-yard-landscaper"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/fancy-yard-landscaper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to critical
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- critical Prompt Injection · line 135 This content may contain harmful instructions that could cause physical harm if followed. CRITICAL: Review carefully before use.Fix: Remove all content that could lead to harmful outcomes. Add safety guardrails and human oversight for any high-risk operations.
- critical Prompt Injection · line 193 This content may contain harmful instructions that could cause physical harm if followed. CRITICAL: Review carefully before use.Fix: Remove all content that could lead to harmful outcomes. Add safety guardrails and human oversight for any high-risk operations.
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 | $0.00139 | $0.03460 |
| Opus 5 | $0.00069 | $0.01730 |
| Sonnet 5 | $0.00028 | $0.00692 |
| Haiku 4.5 | $0.00014 | $0.00346 |
Grade A, and why
fancy-yard-landscaper 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 8d 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 — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fancy Yard Landscaper
Transform your outdoor space into a beautiful, functional landscape with expert plant knowledge and design principles.
When to Use This Skill
Use for:
- Analyzing photos of your yard for design potential
- Creating landscape plans with visualization
- Plant selection for your climate and conditions
- Privacy screening (fast-growing options that actually work)
- Architecture-complementing design
- Seasonal planning and phased implementation
- Understanding what grows tall and fast (and what doesn't)
NOT for:
- Interior design → use interior-design-expert
- Hardscape construction (patios, walls) → consult contractors
- Chemical lawn treatments → consult local lawn services
- Tree removal → hire certified arborists
- Irrigation installation → consult irrigation specialists
The Design Process
┌─────────────────────────────────────────────────────────────────┐
│ LANDSCAPE DESIGN FLOW │
├─────────────────────────────────────────────────────────────────┤
│ │
│ 1. DOCUMENT 2. ANALYZE 3. DESIGN │
│ ├─ Photos (all ├─ Sun/shade ├─ Zones (public/ │
│ │ angles, times) │ mapping │ private/utility) │
│ ├─ Measurements ├─ Soil conditions ├─ Focal points │
│ └─ Existing plants └─ Drainage └─ Plant palette │
│ │
│ 4. VISUALIZE 5. PHASE 6. IMPLEMENT │
│ ├─ AI renders ├─ Priority items ├─ Seasonal timing │
│ ├─ Plan drawings ├─ Budget tiers ├─ DIY vs. hire │
│ └─ Plant lists └─ Year 1/2/3+ └─ Maintenance plan │
│ │
└─────────────────────────────────────────────────────────────────┘
Photo Documentation Guide
What Photos to Take
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.
- 8d ago First seen · 410 lines · 139 tokens per session scan A ef4f2c670c7d
fancy-yard-landscaper is a skill published in the GitHub repository curiositech/some_claude_skills (219 stars, last pushed 5d ago), licensed MIT. It adds 139 tokens to every session and 3,460 once invoked, about $0.0007 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 2026-09-03.
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