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Agent skill

Event Model Weed

by ObneyAI in ObneyAI/grain

Reconcile Grain Event Model topology with the live runtime and its linked Allium declarations as the topology phase after Allium weed.

MITAuto-check passed

Install Event Model Weed

skills CLI
$ npx skills add ObneyAI/grain --skill event-model-weed -a claude-code

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

GitHub CLI
$ gh skill install ObneyAI/grain event-model-weed --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/ObneyAI/grain.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/event-model-weed .claude/skills/event-model-weed && 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
event-model-weed
GitHub stars
123
Token cost
~241 tokens
SKILL.md length
89 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
MIT

At a glance

Reconcile Grain Event Model topology with the live runtime and its linked Allium declarations as the topology phase after Allium weed.

  • Spec-code drift
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Strict boot failures
  • Coverage/schema/wiring/edge findings

What it does

Event Model Weed is an agent skill from ObneyAI/grain. Reconcile Grain Event Model topology with the live runtime and its linked Allium declarations as the topology phase after Allium weed. Use for spec-code drift, strict boot failures, coverage/schema/wiring/edge findings, or broken command-to-rule and screen-to-surface links.

Its SKILL.md is about 240 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Build Reasonable Applications with Clojure in the World of Natural Language Programming. The licence is MIT.

When your agent uses it

  • Spec-code drift
  • Strict boot failures
  • Coverage/schema/wiring/edge findings
  • Broken command-to-rule and screen-to-surface links

Example prompts

  • “/event-model-weed”

What it can do on your machine

Read from SKILL.md and the folder at commit dbf5b52. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Event Model Weed loads about 241 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 89 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~241

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 ObneyAI/grain at commit dbf5b52, republished under its MIT licence (© ObneyAI). 89 words, ~241 tokens.

Download SKILL.mdSave it as .claude/skills/event-model-weed/SKILL.md (or your agent's skills folder).
name
event-model-weed
description
Reconcile Grain Event Model topology with the live runtime and its linked Allium declarations as the topology phase after Allium weed. Use for spec-code drift, strict boot failures, coverage/schema/wiring/edge findings, or broken command-to-rule and screen-to-surface links.

Event Model Weed

Run Allium weed first to reconcile observable behavior. Then load the Grain app and compare (em/registered-model) with (tools/catalog) using strict Event Model validation and coverage. Classify every finding as model drift, implementation drift, or an intentional aspirational gap; resolve rather than suppress it.

Run validate-spec-composition to check required and optional Allium links. A renamed rule or surface must update the Event Model reference; topology must not copy the changed behavior. Finish only when tests, Allium verification, strict runtime topology, and the composition gate are all clean.

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

Files

Just SKILL.md in skills/event-model-weed of ObneyAI/grain.

Open the folder on GitHubat commit dbf5b52

Compare with similar skills

Event Model Weed 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.

Event Model Weed compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Event Model Weed this skillObneyAI/grain123—~241Automated safety check: PassMIT
Eventscoreyhaines31/marketingskills54k—~3kAutomated safety check: PassMIT
Event Sourcing Architectdavila7/claude-code-templates32k4 repos~659Automated safety check: PassMIT
Event Store Designwshobson/agents40k9 repos~828Automated safety check: PassMIT
Topology Authoringnetdata/netdata81k—~3.9kAutomated safety check: PassGPL-3.0
Agent Topology Optimizerruvnet/ruflo74k2 repos~6.2kAutomated safety check: PassMIT

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More from ObneyAI/grain

All 8 skills in this repo

  • Event Model

    ObneyAI/grain

    Read, write, and validate Grain's service-area-first Event Model topology.

    123 GitHub stars~536 tokensUpdated today
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  • Grain

    ObneyAI/grain

    Drive a Grain engineering goal through one composed Allium and Event Model loop.

    123 GitHub stars~482 tokensUpdated today
    Auto-check passed

  • Grain Genome

    ObneyAI/grain

    Build or update Grain's interactive component genome. An agent skill from ObneyAI/grain.

    123 GitHub stars~445 tokensUpdated today
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  • Event Model Distill

    ObneyAI/grain

    Distill Grain Event Model topology from an existing system as the topology companion to Allium distill.

    123 GitHub stars~248 tokensUpdated today
    Auto-check passed

  • Event Model Propagate

    ObneyAI/grain

    Generate Grain topology and composition contract tests after Allium propagates behavioural tests.

    123 GitHub stars~247 tokensUpdated today
    Auto-check passed

  • Event Model Elicit

    ObneyAI/grain

    Add Grain Event Model topology to an Allium intent-first elicitation.

    123 GitHub stars~249 tokensUpdated today
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Questions about Event Model Weed

What does Event Model Weed do?

Reconcile Grain Event Model topology with the live runtime and its linked Allium declarations as the topology phase after Allium weed. Event Model Weed is an agent skill from ObneyAI/grain. Reconcile Grain Event Model topology with the live runtime and its linked Allium declarations as the topology phase after Allium weed.

When should I use Event Model Weed?

Event Model Weed fits situations like: spec-code drift; strict boot failures; coverage/schema/wiring/edge findings; broken command-to-rule and screen-to-surface links.

How do I install Event Model Weed in Claude Code?

Run `npx skills add ObneyAI/grain --skill event-model-weed -a claude-code`. Or copy the skill folder (skills/event-model-weed in ObneyAI/grain) into .claude/skills/event-model-weed in your project. Claude Code loads it when a task matches its description.

How do I install Event Model Weed in Codex?

Run `npx skills add ObneyAI/grain --skill event-model-weed -a codex`. Or copy the skill folder (skills/event-model-weed in ObneyAI/grain) into .agents/skills/event-model-weed in your project. Codex loads it when a task matches its description.

Can I use Event Model Weed 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 ObneyAI/grain --skill event-model-weed -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/event-model-weed, .gemini/skills/event-model-weed, .github/skills/event-model-weed and .opencode/skills/event-model-weed in your project.

What does Event Model Weed need to run?

SKILL.md names no scripts, command-line tools or credentials: Event Model Weed is instructions for the agent only.

Does Event Model Weed access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Event Model Weed 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 Event Model Weed use?

Event Model Weed 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 Event Model Weed use?

About 241 tokens (SKILL.md is roughly 964 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 Event Model Weed?

Skills that share tags, products or a category with Event Model Weed: Events (coreyhaines31/marketingskills, 54k stars), Event Sourcing Architect (davila7/claude-code-templates, 32k stars), Event Store Design (wshobson/agents, 40k stars) and Topology Authoring (netdata/netdata, 81k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Event Model Weed?

ObneyAI (a GitHub organization) maintains it in ObneyAI/grain, which has 123 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 9, 2026.

Source: ObneyAI/grain on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.