cultivate-bonsai

cultivate-bonsai is a skill for Claude Code from pjt222/agent-almanac. It costs 105 tokens per session (3,401 once invoked), scanned A, original, MIT.

A practical guide to growing and shaping bonsai trees through species selection, pruning, wiring, repotting, soil preparation, and seasonal care. It also includes a contemplative sitting practice with a living tree.

In plain words
What is it for?
Use it to choose a species, assess tree health, prune or wire branches, repot a tree, prepare soil, and plan seasonal care.
Why use it?
It helps turn broad bonsai goals into care decisions suited to the tree, climate, season, and grower's experience.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the agent-almanac plugin — 122 skills, 77 agents shipped together

Good fit Use it to choose a species, assess tree health, prune or wire branches, repot a tree, prepare soil, and plan seasonal care.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pjt222/agent-almanac/cultivate-bonsai
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 pjt222/agent-almanac --skill cultivate-bonsai
Clone the repo
git clone --depth 1 https://github.com/pjt222/agent-almanac

Made for: Claude Code.

Or install agent-almanac, the plugin that ships this one along with the rest of its 122 skills, 77 agents.

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 cultivate-bonsai

README.md
[![agentmods](https://agentmods.dev/badge/skills/pjt222/agent-almanac/cultivate-bonsai/github.svg)](https://agentmods.dev/skills/pjt222/agent-almanac/cultivate-bonsai)
Your own site
<a href="https://agentmods.dev/skills/pjt222/agent-almanac/cultivate-bonsai"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/cultivate-bonsai/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 cultivate-bonsai

Your own site · 80×15
<a href="https://agentmods.dev/skills/pjt222/agent-almanac/cultivate-bonsai"><img src="https://agentmods.dev/badge/skills/pjt222/agent-almanac/cultivate-bonsai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,401 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00105 $0.03401
Opus 5.5 $0.00042 $0.01360
Sonnet 5.5 $0.00021 $0.00680
Haiku 4.5 $0.00011 $0.00340

Measured 1mo ago against content hash e7aaa86a31dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cultivate-bonsai 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 1mo 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.

i18n/caveman-lite/skills/cultivate-bonsai/SKILL.md · 305 lines

How it starts

The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cultivate Bonsai

Cultivate and maintain bonsai trees through seasonal care, structural shaping, and contemplative practice.

When to Use

  • You are selecting a species for your first or next bonsai
  • You need to prune (maintenance or structural) a bonsai tree
  • Your bonsai needs repotting (roots circling, soil depleted, or growth stalled)
  • You want to wire branches for shaping
  • You need a seasonal care calendar for an existing bonsai collection
  • You want to develop a contemplative sitting practice with a living tree

Inputs

  • Required: Species of tree (or climate zone for species selection guidance)
  • Optional: Current state of tree (age estimate, pot size, health, last repotting date)
  • Optional: Goal style (formal upright, informal upright, cascade, semi-cascade, literati, windswept, forest)
  • Optional: Season and current weather conditions
  • Optional: Experience level (beginner, intermediate, advanced)

Procedure

Step 1: Select or Assess the Species

Match species to climate, experience level, and desired aesthetic.

Beginner-Friendly Species by Climate:
┌────────────────────┬──────────────────────┬───────────────────────┐
│ Climate            │ Species              │ Why                   │
├────────────────────┼──────────────────────┼───────────────────────┤
│ Temperate (zones   │ Chinese elm           │ Forgiving, fast       │
│ 6-9)               │ (Ulmus parvifolia)   │ recovery, indoor/out  │
├────────────────────┼──────────────────────┼───────────────────────┤
│ Temperate          │ Japanese maple        │ Beautiful foliage,    │
│                    │ (Acer palmatum)      │ deciduous drama       │
├────────────────────┼──────────────────────┼───────────────────────┤
│ Cool (zones 4-7)   │ Juniper              │ Hardy, classic style, │
│                    │ (Juniperus)          │ tolerates wiring      │
├────────────────────┼──────────────────────┼───────────────────────┤
│ Warm (zones 9-11)  │ Ficus retusa          │ Aerial roots, indoor  │
│                    │                      │ tolerant, fast growth │
├────────────────────┼──────────────────────┼───────────────────────┤
│ Any (indoor)       │ Chinese privet        │ Nearly indestructible,│
│                    │ (Ligustrum sinense)  │ rapid budding         │
└────────────────────┴──────────────────────┴───────────────────────┘

Selection Criteria:
1. Hardy in your zone (outdoor bonsai are healthier than indoor)
2. Tolerant of root pruning (essential for bonsai longevity)
3. Produces small leaves naturally or through technique (leaf reduction)
4. Available as nursery stock (don't start from seed — too slow for learning)

Read the full file on GitHub · 305 lines

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. 1mo ago First seen · 305 lines · 105 tokens per session scan A e7aaa86a31dd

Subscribe to this mod's changes

cultivate-bonsai is a skill published in the GitHub repository pjt222/agent-almanac (42 stars, last pushed 5d ago), licensed MIT. It adds 105 tokens to every session and 3,401 once invoked, about $0.0004 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 2026-09-03.

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