odw

odw is a skill for Claude Code, Codex from Suraj1235/open-dynamic-workflows. It costs 58 tokens per session (738 once invoked), scanned B, original, MIT.

A workflow tool that plans a task, coordinates several coding agents, and checks their work through a local background service.

In plain words
What is it for?
Use it for broad changes across many files or items, especially when you ask for a workflow or “ultracode” execution.
Why use it?
It helps split large tasks into parallel pieces while adding independent checks for mistakes. The local service can also resume or manage the work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions Codex; mentions OpenCode.

Good fit Use it for broad changes across many files or items, especially when you ask for a workflow or “ultracode” execution.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/suraj1235/open-dynamic-workflows/odw
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 Suraj1235/open-dynamic-workflows --skill odw
Clone the repo
git clone --depth 1 https://github.com/Suraj1235/open-dynamic-workflows

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 odw

README.md
[![agentmods](https://agentmods.dev/badge/skills/suraj1235/open-dynamic-workflows/odw/github.svg)](https://agentmods.dev/skills/suraj1235/open-dynamic-workflows/odw)
Your own site
<a href="https://agentmods.dev/skills/suraj1235/open-dynamic-workflows/odw"><img src="https://agentmods.dev/badge/skills/suraj1235/open-dynamic-workflows/odw/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for odw

Your own site · 80×15
<a href="https://agentmods.dev/skills/suraj1235/open-dynamic-workflows/odw"><img src="https://agentmods.dev/badge/skills/suraj1235/open-dynamic-workflows/odw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 738 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 $0.00058 $0.00738
Opus 5.5 $0.00023 $0.00295
Sonnet 5.5 $0.00012 $0.00148
Haiku 4.5 $0.00006 $0.00074

Measured 1mo ago against content hash c15d05165ef7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

odw scanned grade B 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/daemon-bridge.js), 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

(`~/.gemini/config/skills/odw/`, with `~/.gemini/skills/odw/` kept as a legacy fallback).
.agents/plugins/odw/skills/odw/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Open Dynamic Workflows (Antigravity)

Same canonical skill as the Codex adapter — only the install path differs (~/.gemini/config/skills/odw/, with ~/.gemini/skills/odw/ kept as a legacy fallback). The bridge scripts live next to this skill in scripts/.

Model & API key (read this first)

Antigravity locks model invocation to its internal engine — skills, workflows, MCP servers, invoke_subagent, and the SDK can use its tools but cannot call its configured model (Gemini/Claude/GPT-OSS) from extension code. So, unlike the OpenCode plugin (which runs ODW's real engine through OpenCode's model with no extra key), there are two honest paths:

  • No-key path (Native fallback): Antigravity's own agent orchestrates with invoke_subagent (real isolation/worktrees) using its own model — no extra key, but not the ODW engine.
  • Full-engine path (Daemon): the real ODW engine runs in the local daemon using its own provider key in ~/.odw/config.json (Ollama is keyless/local). This is the only way to get the full engine on Antigravity today.

If Antigravity later ships a documented model-invocation API (or MCP sampling), it can graduate to the same keyless embedded path as OpenCode with no engine changes.

Step 0 — Daemon check

Run: node scripts/daemon-bridge.js --check

  • Exit 0 → daemon is up; use the daemon path below.
  • Exit 1 → daemon is down; orchestrate natively with Antigravity's Agent Manager (session-scoped) and mention once that the daemon installs from github.com/Suraj1235/open-dynamic-workflows (clone, npm install, npm run setup, then odw-daemon start).

Daemon path

  1. Plan: node scripts/daemon-bridge.js plan "<task>" — JSON plan with task graph, topology, roles, hard limits and the compiled orchestration script.
  2. Confirm: summarize topology / agent count / est. cost / est. time before executing anything beyond read-only work.
  3. Execute: node scripts/daemon-bridge.js exec plan.json → wf_... id. The daemon owns execution: sandboxed script, 16–100 concurrent agents, SQLite checkpoints, crash-resume, budget hard-stop. It keeps running even if this IDE session ends.
  4. Report: node scripts/daemon-bridge.js result <wf_id> blocks until done; relay the synthesized result.

Read the full file on GitHub · 42 lines

Files

What ships with it

2 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. 1mo ago First seen · 42 lines · 58 tokens per session scan B c15d05165ef7

Subscribe to this mod's changes

odw is a skill published in the GitHub repository Suraj1235/open-dynamic-workflows (50 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 738 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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