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.
npx skills add 2DAICommunity/2dai-mcp-server --skill 2daigit clone --depth 1 https://github.com/2DAICommunity/2dai-mcp-serverWrote 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.
[](https://agentmods.dev/skills/2daicommunity/2dai-mcp-server/2dai)<a href="https://agentmods.dev/skills/2daicommunity/2dai-mcp-server/2dai"><img src="https://agentmods.dev/badge/skills/2daicommunity/2dai-mcp-server/2dai/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.
<a href="https://agentmods.dev/skills/2daicommunity/2dai-mcp-server/2dai"><img src="https://agentmods.dev/badge/skills/2daicommunity/2dai-mcp-server/2dai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00057 | $0.03411 |
| Opus 5.5 | $0.00023 | $0.01364 |
| Sonnet 5.5 | $0.00011 | $0.00682 |
| Haiku 4.5 | $0.00006 | $0.00341 |
Grade A, and why
2dai 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 5d 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.
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.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
2DAI for agents
2DAI is a generation platform (images, image-to-video, references, style transfer) with a cloud drive. You reach it
through the 2dai-mcp-server tools (25 tools) with an API key. Every generation spends the account's USD credit;
every result lands in the account's cloud drive as a creation with a 32-char id.
1. Session start (always)
get_account— credit, tier, key scopes and spend cap (and the key's own ceilings, when it has a policy), the presets this account may submit, the video lengths with their tier locks, the best pick open to the account (recommendation) and the engine behind each channel with what it takes (platform.engines). Never probe presets or lengths by submitting: a locked one is refused at submit (403) and wastes a round-trip.- Budget: write down credit and the key cap. Costs are charged at submit and refunded on failure.
list_creationsif the account already holds references (brand masters, character sheets).
2. Quality ladder — one set of ids for every tool
| Preset | Image | Video | Use it for |
|---|---|---|---|
fast |
quickest render | 0.2 MP, quickest render with sound | drafts, layout and scenario tests |
normal |
standard resolution | 0.4 MP | social drafts, moodboards |
high |
higher resolution than Normal | recommended for video — 0.4 MP at 20 steps, cleaner motion and sound | everyday clips |
max |
recommended for images — best detail / price balance | 0.7 MP, sharper frames, longer render | everyday images |
ultra |
more steps and a model upscale, for prints | 0.7 MP at 20 steps, slower | prints, large crops |
ultimate |
highest resolution, for final masters | 1 MP at 20 steps, longest wait | final masters only |
Presets open by tier (get_account resolves them — read them there; this is the reference at the time of writing):
| Tier | Image | Video | Video lengths |
|---|---|---|---|
| Guest | fast, normal |
— | — |
| Explorer | + high |
fast |
1, 5 s |
| Holder | + max |
+ normal |
+ 8 s |
| Believer | + ultra |
+ high |
+ 10 s |
| Supporter | + ultimate |
fast, normal, high |
+ 12 s |
| Founder | every preset | + max, ultra, ultimate |
+ 15, 17, 20 s |
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.
- 5d ago Changed · +21 lines 1c23b85dbf67
- 7d ago Changed · +7 lines c657e6bff8dc
- 9d ago Changed e328c5322717
- 17d ago Changed ff10f2c2fd94
- 24d ago Changed 0d8bebd36186
- 27d ago Changed · +14 lines 4fe288faed96
- 1mo ago Changed · +10 lines f8aa8ac7ad69
- 1mo ago Changed 943478372bd4
- 1mo ago Changed 83a7662a7b01
- 1mo ago First seen · 112 lines · 57 tokens per session scan A e48045bf7abf
2dai is a skill published in the GitHub repository 2DAICommunity/2dai-mcp-server (0 stars, last pushed 5d ago), licensed MIT. It adds 57 tokens to every session and 3,411 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-10.
2dai compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| 2dai2DAICommunity/2dai-mcp-server | Skill | 0 | 5d ago | MIT | A | 57 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |