lobster

lobster is a skill for Claude Code, Codex from deepgram/dglabs-deepclaw. It costs 0 tokens per session (605 once invoked), scanned A, a copy of lobster, MIT.

A workflow runner for multi-step automations with approval checkpoints. A workflow is a sequence of connected actions, such as finding emails, reviewing them, and asking before sending replies.

In plain words
What is it for?
Use it for triaging email, syncing information, monitoring a pull request, or running scheduled workflows that may send, post, or delete something.
Why use it?
It keeps repeatable operations organized and pauses before actions that need a person's approval.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for triaging email, syncing information, monitoring a pull request, or…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/deepgram/dglabs-deepclaw/lobster
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 deepgram/dglabs-deepclaw --skill lobster
Clone the repo
git clone --depth 1 https://github.com/deepgram/dglabs-deepclaw

Made for: Claude Code, Codex.

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 lobster

README.md
[![agentmods](https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/lobster.svg)](https://agentmods.dev/skills/deepgram/dglabs-deepclaw/lobster)
Your own site
<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/lobster"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/lobster.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 605 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.
Origin 100% copy Near-identical to another mod 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 $0.00000 $0.00605
Opus 5 $0.00000 $0.00302
Sonnet 5 $0.00000 $0.00121
Haiku 4.5 $0.00000 $0.00060

Measured 6d ago against content hash fd4f59008e2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

lobster 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 6d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (index.ts, src/lobster-tool.test.ts, src/lobster-tool.ts), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to lobster — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

extensions/lobster/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lobster

Lobster executes multi-step workflows with approval checkpoints. Use it when:

  • User wants a repeatable automation (triage, monitor, sync)
  • Actions need human approval before executing (send, post, delete)
  • Multiple tool calls should run as one deterministic operation

When to use Lobster

User intent Use Lobster?
"Triage my email" Yes — multi-step, may send replies
"Send a message" No — single action, use message tool directly
"Check my email every morning and ask before replying" Yes — scheduled workflow with approval
"What's the weather?" No — simple query
"Monitor this PR and notify me of changes" Yes — stateful, recurring

Basic usage

Run a pipeline

{
  "action": "run",
  "pipeline": "gog.gmail.search --query 'newer_than:1d' --max 20 | email.triage"
}

Returns structured result:

{
  "protocolVersion": 1,
  "ok": true,
  "status": "ok",
  "output": [{ "summary": {...}, "items": [...] }],
  "requiresApproval": null
}

Handle approval

If the workflow needs approval:

{
  "status": "needs_approval",
  "output": [],
  "requiresApproval": {
    "prompt": "Send 3 draft replies?",
    "items": [...],
    "resumeToken": "..."
  }
}

Present the prompt to the user. If they approve:

{
  "action": "resume",
  "token": "<resumeToken>",
  "approve": true
}

Example workflows

Email triage

gog.gmail.search --query 'newer_than:1d' --max 20 | email.triage

Fetches recent emails, classifies into buckets (needs_reply, needs_action, fyi).

Email triage with approval gate

gog.gmail.search --query 'newer_than:1d' | email.triage | approve --prompt 'Process these?'

Read the full file on GitHub · 98 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 98 lines · 0 tokens per session scan A fd4f59008e2a

Subscribe to this mod's changes

lobster is a skill published in the GitHub repository deepgram/dglabs-deepclaw (23 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 605 tokens. A static security scan graded it A with 0 findings. It is 100% identical to lobster, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens