Ophiris

$OPHIRIS | The unblinking gateway for raw intelligence: routing unrestricted LLMs across offensive security and red teaming

[Ophiris @OphirisLoop]

$OPHIRIS is live on @RobinhoodCrypto chain.

Official Contract: 0x78c1c2d4cd6207b6ff4e84362d314d1cd0830041

Security work means looking at the things everyone else is told to look away from: malware, exploits, phishing, the weak spots in your own login page. Ask a mainstream model for help with any of it and you often get a polite refusal, even when the system is yours and the work is authorized.

We built Ophiris for the people on the other side of that refusal. It serves only unrestricted models (uncensored, abliterated and derestricted open weights) and models tuned for security work. Anything else is rejected at the catalog, so the registry shows exactly what the API will call.

How it works:
· One OpenAI-compatible API. Point your existing SDK, OpenCode, Cursor or Claude Code at it and keep your code.
· Engagements hold your rules of engagement and source files, and every session inside one inherits them.
· Every key has its own model list and spending limit. Recon runs show their maximum charge before they start.
· Sessions are encrypted in your browser. Billing keeps request and cost records, never message content.

Our seal is an ouroboros around an eye that does not close. Raw intelligence, unblinking.

https://t.co/mzzl5ysgsy

[Ophiris @OphirisLoop]

A real red-team task, start to finish, in @opencode.

The target: a JWT check that accepts alg "none". The model: GLM 5.3 Uncensored, served by Ophiris.

From one prompt, it:
• found the flaw at src/jwt.js line 17
• wrote test/exploit.test.js, forging an admin token with no secret
• ran the tests to prove the bypass
• patched verify() to reject every algorithm except HS256
• reran the tests until all 4 passed

1 minute 9 seconds. Recorded live, waits sped up and marked.

https://t.co/jDqsxbZdjC

[Ophiris @OphirisLoop]

Very good question. Today, what people pay for usage covers running the models and running Ophiris itself.

The loop in that quote is the long-term plan: a share of protocol fees will fund inference credits for eligible $OPHIRIS holders. When it starts, the docs will publish the fee share, the funding address and its transactions, so anyone can check it on chain.

What is live now:
• Early holder allocation: $1000 in inference credits for each of the first 100 holders
• The first burn: 17,035,132 $OPHIRIS to the dead address

[Ophiris @OphirisLoop]

$OPHIRIS isn't only for security work, it reads the chain too.

Ask "is this token a rug?" and most assistants decline. On $OPHIRIS, an uncensored model runs the lookups itself and answers with the numbers:

• Holders and security: bundlers, snipers, insiders, dev wallets, top 10
• The contract as the chain reports it: owner, mint and freeze authority
• Market cap charts, trending boards, wallet profiles and chain activity

In the video, one question surfaced 30.08% of a token's supply sitting in bundled wallets and a developer with 1,151 launches behind it.

14 on-chain tools across Solana, Ethereum, Base, BNB Chain and Robinhood chain. On-chain data is free; you pay for the model.

Research, not financial advice.

https://t.co/Nf4LqlSDDb

[Ophiris @OphirisLoop]

26 tools in total: ask, compare and balance with an Ophiris key, plus 22 free on-chain and market data tools that need no key.

https://t.co/bQl1ZHojd5

[Ophiris @OphirisLoop]

Your coding agent can now call Ophiris's uncensored models.

In Claude Code, two commands:
claude plugin marketplace add ophiris/ophiris-cursor
claude plugin install ophiris@ophiris

In Cursor, clone the plugin into ~/.cursor/plugins/local/ophiris and reload.

What the video shows, recorded live:
• Claude Code asks GLM 5.3 Uncensored whether a JWT check can be bypassed. It finds the alg "none" hole and returns a fix. 236 tokens in, 1,028 out, about $0.003.
• Cursor runs compare on GLM 5.3 Uncensored and Qwen 3.8 27B Uncensored over a buffer overflow. Both point at the same unchecked length. Under a cent in total.

Every answer reports its tokens, estimated cost and usage ID.

[Ophiris @OphirisLoop]

$OPHIRIS trades inside the app now.

The Holder credits page has a buy, sell and burn panel on the token's launchpad curve. You trade from your own wallet on Robinhood Chain, and the fees are shown before you confirm (1% launchpad + 1.95% creator).

Early holder allocation: $10 in inference credits for each of the first 100 holders, $1,000 in total.

How to claim:
1. Buy at least $1 of $OPHIRIS from its market with a connected wallet
2. Keep holding it
3. Hit "Claim $10 in credits"

Tokens sent from another wallet don't count. Each account, wallet and purchase can claim once. The credits pay for inference like a funded balance and show up separately in your ledger.

0 of 100 claimed so far.

Claim yours: https://t.co/Jh37nVa3EJ

[Ophiris @OphirisLoop]

Red teamers write their own tools because nobody else will help them.

We're about to.

[Ophiris @OphirisLoop]

Burn 01 is done.

17,035,132 $OPHIRIS went to 0x000000000000000000000000000000000000dEaD in block 113,470,168, 13 Nov 2026 at 15:46 UTC.

That's 1.70% of the 1,000,000,000 total supply.

Tx:
https://t.co/HTyAburjnP

[Ophiris @OphirisLoop]

https://t.co/OXPbnoekyq

[Ophiris @OphirisLoop]

Seeing clearly has never been the dangerous part.

Raw intelligence, unblinking.