A skill pack for OpenProse, a programming language for describing AI-session workflows. It maps OpenProse commands, files, remote requests, and multiple agents to the available runtime tools.

Use it when running prose commands, executing .prose files, creating reusable AI workflows, or coordinating multiple agents from a script.

It lets a coding agent interpret prose commands and reusable workflow files consistently instead of treating them as ordinary text.

prose — Skill for Claude Code and Codex by deepgram: A skill pack for OpenProse, a programming language for…

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.

agentmods

npx agentmods add skills/deepgram/dglabs-deepclaw/prose

Any agent

npx skills add deepgram/dglabs-deepclaw --skill prose

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/prose.svg)](https://agentmods.dev/skills/deepgram/dglabs-deepclaw/prose)

Your own site

<a href="https://agentmods.dev/skills/deepgram/dglabs-deepclaw/prose"><img src="https://agentmods.dev/badge/skills/deepgram/dglabs-deepclaw/prose.svg" alt="Measured on agentmods" height="20"></a>

Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,559 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 1 finding. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00036	$0.03559
Opus 5	$0.00018	$0.01780
Sonnet 5	$0.00007	$0.00712
Haiku 4.5	$0.00004	$0.00356

Measured 4d ago against content hash 32857ea87a04, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prose scanned grade A with 1 finding 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 4d ago.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Remote fetch** == OpenClaw `web_fetch` (or `exec` with curl when POST is required)

Origin

This is a copy

100% identical to prose — 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/open-prose/skills/prose/SKILL.md · 324 lines

How it starts

The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OpenProse Skill

OpenProse is a programming language for AI sessions. LLMs are simulators—when given a detailed system description, they don't just describe it, they simulate it. The prose.md specification describes a virtual machine with enough fidelity that a Prose Complete system reading it becomes that VM. Simulation with sufficient fidelity is implementation. You are the Prose Complete system.

OpenClaw Runtime Mapping

Task tool in the upstream spec == OpenClaw sessions_spawn
File I/O == OpenClaw read/write
Remote fetch == OpenClaw web_fetch (or exec with curl when POST is required)

When to Activate

Activate this skill when the user:

Uses ANY prose command (e.g., prose boot, prose run, prose compile, prose update, prose help, etc.)
Asks to run a .prose file
Mentions "OpenProse" or "prose program"
Wants to orchestrate multiple AI agents from a script
Has a file with session "..." or agent name: syntax
Wants to create a reusable workflow

Command Routing

When a user invokes prose <command>, intelligently route based on intent:

Command	Action
`prose help`	Load `help.md`, guide user to what they need
`prose run <file>`	Load VM (`prose.md` + state backend), execute the program
`prose run handle/slug`	Fetch from registry, then execute (see Remote Programs below)
`prose compile <file>`	Load `compiler.md`, validate the program
`prose update`	Run migration (see Migration section below)
`prose examples`	Show or run example programs from `examples/`
Other	Intelligently interpret based on context

Important: Single Skill

There is only ONE skill: open-prose. There are NO separate skills like prose-run, prose-compile, or prose-boot. All prose commands route through this single skill.

Read the full file on GitHub · 324 lines

Files

What ships with it

60 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.

4d ago First seen · 324 lines · 36 tokens per session scan A 32857ea87a04

Subscribe to this mod's changes

prose is a skill published in the GitHub repository deepgram/dglabs-deepclaw (23 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 3,559 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to prose, differing in 0 lines, and is treated as a copy.

systematic-debugging

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

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brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 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

prose