obneyai/grain/grain
Claude Code and agent skill by obneyai/grain
- community
Checking that the SKILL.md file is still in the repository.
Drive a Grain engineering goal through one composed Allium and Event Model loop. Use for Grain features, specification work, implementation, reconciliation, or when the user invokes Grain as the entry point. Delegate observable behaviour to installed Allium skills and add Grain service-topology work; continue until specs, tests, code, runtime validation, and trace links agree.
Install
npx vskill@latest install obneyai/grain/grainSKILL.md
Grain
Use Allium as the behavioural host and Event Model as its Grain topology extension. Never copy behavioural rules or Given/When/Then into Event Model.
Preflight
Confirm the Allium entry and verb skills are installed. If not, pause and give the installation command appropriate to the active editor from https://github.com/juxt/allium. Do not vendor or silently replace Allium.
Inspect .allium files, defeventmodel forms, the live Grain catalog when available, and current tests. Decide whether the goal changes behaviour, topology, or both.
Composed loop
- Gather durable context with Allium
elicitordistill, then run the matching
event-model-elicit or event-model-distill phase for topology.
- Use Allium
propagatefor behavioural tests. Useevent-model-propagatefor
topology, boot-mandate, and composition contract tests.
- Implement and run tests. Confirm new behavioural tests were red before the
implementation when doing spec-first work.
- Verify with Allium
weed,allium check, andallium analyse; then run
event-model-weed, strict runtime validation, and composition validation.
- If behaviour was wrong, revise with Allium
tend; if topology was wrong, use
event-model-tend. Re-propagate and repeat.
Finish only when behavioural specs, topology, generated tests, implementation, runtime registries, and Allium trace links agree and no open question remains.
Read the event-model skill for the Grain schema and exact REPL APIs.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/grain/SKILL.md
Popularity
- Repository stars
- 119
- Repository forks
- 9
- 7-day trend score
- 24
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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