lobster-workflows
Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models
Install / Use
npx skills add aaronnat23/disp8ch --skill lobster-workflowsInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of lobster-workflows
lobster-workflows scores 54/100 on our quality scale, 2755th of 2,873 Automation skills we index.
Its SKILL.md is 1.3 KB long, lightly structured (1 heading) and no code examples: moderately detailed.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 2 months ago, so lobster-workflows is actively maintained.
- Our last check on 2026-10-18 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
lobster-workflows compared with similar skills
All 4 of these similar skills score higher than lobster-workflows; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| lobster-workflows (this skill)by aaronnat23 | 54 | 0 | 2mo ago | SKILL.md |
| taste-skillby Leonxlnx | 100 | 111.4k | 2d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.8k | 1d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 99.1k | 1d ago | MCP Server |
| rufloby ruvnet | 100 | 81.1k | today | MCP Server |
Frequently asked questions
- How do I install lobster-workflows?
- Run
npx skills add aaronnat23/disp8ch --skill lobster-workflows. The install tabs above show the steps for each supported agent. - Which AI agents does lobster-workflows work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is lobster-workflows safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is lobster-workflows still maintained?
- The repository was last updated about 2 months ago, so lobster-workflows is actively maintained.
Skill content
View source on GitHubLobster Workflows
Typed, deterministic multi-step pipelines with human approval gates and resumable execution tokens.
- Design workflows as linear pipelines: each step produces typed output consumed by the next step.
- Insert
wait-for-inputnodes at approval gates. Pass aresumeTokento allow humans to continue or cancel the workflow later. - Each pipeline step should be idempotent — if the workflow is resumed after approval, the step must produce the same result given the same input.
- Use
error-handlernodes around external API calls (email send, file write, webhook) to catch failures without aborting the entire pipeline. - Approval gate pattern:
claude-agent(classify/prepare) →wait-for-input(show classification to human) →if-else(approved?) →claude-agent(execute) →send-webchat(confirm). - Example: Email triage pipeline —
http_requestfetch inbox → classify messages by urgency →wait-for-inputto confirm batch → send replies → store sent log. - Store workflow state at each approval checkpoint in memory using type
eventwith the resume token as content. - For time-sensitive workflows: use
delaynodes between steps to pace execution and avoid overwhelming downstream services. - Track pipeline progress by emitting a
board-taskstatus update at each major stage.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.