Agent skill

Leaf Agriculture

by Anil-matcha in Anil-matcha/awesome-muse-connectors

Read and manage farm data through Leaf Agriculture: fields, boundaries, machine operation files, and as-applied irrigation.

MITAuto-check passed

Install Leaf Agriculture

skills CLI
$ npx skills add Anil-matcha/awesome-muse-connectors --skill leaf-agriculture -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Anil-matcha/awesome-muse-connectors leaf-agriculture --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/leaf-agriculture .claude/skills/leaf-agriculture && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
leaf-agriculture
GitHub stars
1.3k
Token cost
~1.3k tokens
SKILL.md length
379 words
Files
2
Skills in repo
153
Repo updated
First seen
Licence
MIT

At a glance

Read and manage farm data through Leaf Agriculture: fields, boundaries, machine operation files, and as-applied irrigation.

  • Works in 4 steps: No direct physical actuation. This… → Field create/update/delete sync to… → field-push is MEDIUM: it pushes… → …
  • Phrases: leaf agriculture
  • SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
  • Runs Python scripts from its folder; reaches api.withleaf.io

What it does

Leaf Agriculture is an agent skill from Anil-matcha/awesome-muse-connectors. Read and manage farm data through Leaf Agriculture: fields, boundaries, machine operation files, and as-applied irrigation. Trigger phrases: leaf agriculture, farm data, field boundaries, as-applied irrigation, john deere data, operation files.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/leaf-agriculture.py`).

The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

  • Phrases: leaf agriculture
  • Field boundaries
  • As-applied irrigation
  • John deere data

Example prompts

  • “/leaf-agriculture”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. No direct physical actuation. This connector moves farm data only: records, boundaries, operation files, irrigation logs. Nothing here…
  2. Field create/update/delete sync to connected providers, so bad writes corrupt the farm's data picture downstream. Confirm the field id and…
  3. field-push is MEDIUM: it pushes boundaries or prescriptions into a provider such as John Deere Operations Center, where equipment or…
  4. Rate limits apply per API key. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/leaf-agriculture.py). Do not…

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.withleaf.io

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Leaf Agriculture loads about 1.3k tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 379 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 379 words, ~1,336 tokens.

Download SKILL.mdSave it as .claude/skills/leaf-agriculture/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
leaf-agriculture
description
Read and manage farm data through Leaf Agriculture: fields, boundaries, machine operation files, and as-applied irrigation. Trigger phrases: leaf agriculture, farm data, field boundaries, as-applied irrigation, john deere data, operation files.
metadata.includeInPrompt
true
tagline
Read and manage farm data through Leaf Agriculture, a unified farm-data API that aggregates the partner-gated OEM platforms under self-serve access: John…
catalog_auth
API key via the secure credential flow
catalog_hosts
api.withleaf.io

Leaf Agriculture

Purpose

Read and manage farm data through Leaf Agriculture, a unified farm-data API that aggregates the partner-gated OEM platforms under self-serve access: John Deere, CNH Industrial (Case IH/New Holland), Climate FieldView, Trimble, Raven and AgLeader. The primitives it exposes (fields, boundaries, machine operation files for planting/harvest/application/tillage, plus as-applied irrigation) are exactly what a farmer-first fintech and supply-chain digitization product consumes. This is the practical route to partner-gated OEM data without a partnership agreement: individual provider connections need that grower's OAuth consent, which is the normal data-access model rather than a partnership gate.

Tooling

All commands go through bin/leaf-agriculture.py. Every command takes --user-id (the Leaf user id from the Leaf dashboard):

bash
bin/leaf-agriculture.py auth --user-id USER_ID          # verify the API key
bin/leaf-agriculture.py fields --user-id USER_ID        # list fields
bin/leaf-agriculture.py field-get --user-id USER_ID \
    --field-id FIELD_ID                                 # one field
bin/leaf-agriculture.py field-create --user-id USER_ID \
    --file field.json                                   # create a field record
bin/leaf-agriculture.py field-update --user-id USER_ID \
    --field-id FIELD_ID --file field.json               # update a field record
bin/leaf-agriculture.py field-delete --user-id USER_ID \
    --field-id FIELD_ID \
    --confirm "delete field FIELD_ID"                    # delete a field record (confirmation required)
bin/leaf-agriculture.py field-sync --user-id USER_ID    # trigger a manual field sync from providers
bin/leaf-agriculture.py field-push --user-id USER_ID \
    --field-id FIELD_ID --provider john-deere \
    --confirm "push field FIELD_ID to john-deere"        # push field data into a provider (confirmation required)
bin/leaf-agriculture.py operation-files --user-id USER_ID \
    --field-id FIELD_ID                                 # machine operation files for a field
bin/leaf-agriculture.py irrigation --user-id USER_ID    # as-applied irrigation events

--provider names the target provider for a push, e.g. john-deere, cnhi, climate-fieldview, trimble, raven, agleader.

Auth

  • Provider id: leaf-agriculture (credential is collected as custom.leaf-agriculture)
  • Collection: Bearer API key via the secure credential flow (credentials.request_api_access); issued in the Leaf dashboard
  • Auth scheme: Authorization: Bearer <token> on every request; placement is resolved by the helper from the credential config
  • Allowed hosts: api.withleaf.io
  • Base path pattern: https://api.withleaf.io/services/{service}/api (e.g. /services/fields/api, /services/irrigation/api)
  • The Leaf user id is not a secret; pass it as --user-id on every command
  • Status check: bin/leaf-agriculture.py auth --user-id USER_ID
  • Honesty note: pricing and exact sandbox semantics were open items in the research dossier and could not be confirmed without live access; test against preview fields before enabling provider sync, and check docs.withleaf.io for current pricing.
Show full SKILL.md (143 more words)Show less

Operating Rules

  1. No direct physical actuation. This connector moves farm data only: records, boundaries, operation files, irrigation logs. Nothing here starts a tractor or opens a valve.
  2. Field create/update/delete sync to connected providers, so bad writes corrupt the farm's data picture downstream. Confirm the field id and payload with the user before create/update, and field-delete requires the exact --confirm string the CLI echoes.
  3. field-push is MEDIUM: it pushes boundaries or prescriptions into a provider such as John Deere Operations Center, where equipment or operators may act on them. It requires the exact --confirm string every time.
  4. Rate limits apply per API key. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/leaf-agriculture.py). Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/leaf-agriculture.py

Maturity

Draft: written from Leaf Agriculture's public API docs; not yet live-tested end-to-end.

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/leaf-agriculture of Anil-matcha/awesome-muse-connectors.

  • SKILL.md
  • bin/leaf-agriculture.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Leaf Agriculture next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Leaf Agriculture compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Leaf Agriculture this skillAnil-matcha/awesome-muse-connectors1.3k—~1.3kAutomated safety check: PassMIT
Esign Field Placementaffaan-m/ECC277k—~2.6kAutomated safety check: PassMIT
Fieldsparcadei/Continuous-Claude-v33.9k1 repos~693Automated safety check: NotesMIT
Password Field Securitythedaviddias/Front-End-Checklist74k—~458Automated safety check: PassMIT
Field Notes Editorial Templatenexu-io/open-design100k—~574Automated safety check: PassApache-2.0
Farm Ready Gatefarm-fe/farm5.6k—~875Automated safety check: PassMIT

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Questions about Leaf Agriculture

What does Leaf Agriculture do?

Read and manage farm data through Leaf Agriculture: fields, boundaries, machine operation files, and as-applied irrigation. Leaf Agriculture is an agent skill from Anil-matcha/awesome-muse-connectors. Read and manage farm data through Leaf Agriculture: fields, boundaries, machine operation files, and as-applied irrigation.

When should I use Leaf Agriculture?

Leaf Agriculture fits situations like: phrases: leaf agriculture; field boundaries; as-applied irrigation; john deere data.

How do I install Leaf Agriculture in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill leaf-agriculture -a claude-code`. Or copy the skill folder (connectors/leaf-agriculture in Anil-matcha/awesome-muse-connectors) into .claude/skills/leaf-agriculture in your project. Claude Code loads it when a task matches its description.

How do I install Leaf Agriculture in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill leaf-agriculture -a codex`. Or copy the skill folder (connectors/leaf-agriculture in Anil-matcha/awesome-muse-connectors) into .agents/skills/leaf-agriculture in your project. Codex loads it when a task matches its description.

Can I use Leaf Agriculture in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill leaf-agriculture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/leaf-agriculture, .gemini/skills/leaf-agriculture, .github/skills/leaf-agriculture and .opencode/skills/leaf-agriculture in your project.

What does Leaf Agriculture need to run?

Going by SKILL.md and its folder, Leaf Agriculture needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Leaf Agriculture access the network?

SKILL.md names 1 domain. In commands or code: api.withleaf.io; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Leaf Agriculture safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Leaf Agriculture use?

Leaf Agriculture is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Leaf Agriculture use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Leaf Agriculture?

Skills that share tags, products or a category with Leaf Agriculture: Esign Field Placement (affaan-m/ECC, 277k stars), Fields (parcadei/Continuous-Claude-v3, 3.9k stars), Password Field Security (thedaviddias/Front-End-Checklist, 74k stars) and Field Notes Editorial Template (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Leaf Agriculture?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,347 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.