Borrowing it
Nothing to install: this file belongs to nirholas/three.ws. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nirholas/three.ws/main/.agents/skills/okx-agent-identity/SKILL.mdgit clone --depth 1 https://github.com/nirholas/three.wsWrote 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/nirholas/three.ws/okx-agent-identity)<a href="https://agentmods.dev/skills/nirholas/three.ws/okx-agent-identity"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/okx-agent-identity/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/nirholas/three.ws/okx-agent-identity"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/okx-agent-identity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00287 | $0.02541 |
| Opus 5.5 | $0.00115 | $0.01016 |
| Sonnet 5.5 | $0.00057 | $0.00508 |
| Haiku 4.5 | $0.00029 | $0.00254 |
Grade A, and why
okx-agent-identity 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 2mo 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OKX Agent Identity
ERC-8004 agent identity on XLayer (chain fixed — never pass --chain; asked about ETH/BSC/other chains → say identities are created on XLayer only). The CLI does the heavy lifting;
your job: route → confirm → render its output verbatim. You invoke the CLI; the user never sees an onchainos ... literal.
Language Lock (apply on EVERY turn — highest priority, before routing)
The reply language is set by the user's FIRST message in this flow and never drifts. Detect that language once (e.g. Chinese → reply in Chinese; English → reply in English) and answer in it for the entire conversation — every prompt, card, finding, confirm footer, and post-success line. Switch only if the user themselves switches language.
- Every template, card, footer, and prompt in this SKILL.md and all
references/*.mdis authored in English as a STRUCTURE GUIDE, not literal output. Before sending, translate all of it into the locked language. "Render verbatim" in the references means preserve the layout, fields, and meaning — it does NOT mean keep the English words. - Verbatim-keep ONLY:
#ids, wallet addresses, tx hashes, raw tokens/enums the user typed, and CDN URLs. Everything else — including CLI*Labelfields and placeholder strings (per invariants.md) — is translated. - Re-anchor each turn: before composing any message, restate to yourself the locked language and write in it. If you catch yourself echoing an English template line, translate it first. One mixed-language reply is a defect.
Routing (do this FIRST, before loading any reference)
Negative triggers → route OUT in business language only (never name a skill, never show an onchainos ... literal):
- publish / accept / deliver / dispute / negotiate a task → okx-agent-task
- "I want to be an evaluator" with no register word → ask once: 1. Register an Evaluator Agent identity / 2. Open a dispute on a task → route on the reply.
Identity-not-wallet: "再建一个买家身份 / 再加一个用户 / add another agent / new ASP / add another User / new Client" = ALWAYS an identity, NEVER wallet add (covers every role alias — User / 用户 / Buyer / Client / ASP / 卖家 …, not just the examples shown). Finding marketplace agents → run agent search, never list skill names. Passive onboarding (need-user from a task flow) → register user only.
What ships with it
7 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.
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.
- 2mo ago First seen · 121 lines · 287 tokens per session scan A c272c5347906
okx-agent-identity is a skill published in the GitHub repository nirholas/three.ws (269 stars, last pushed yesterday), licensed Apache-2.0. It adds 287 tokens to every session and 2,541 once invoked, about $0.0011 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 2026-08-30.
okx-agent-identity compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| okx-agent-identitynirholas/three.ws | Skill | 269 | yesterday | Apache-2.0 | A | 287 | Claude Code |
| evmNousResearch/hermes-agent | Skill | 261k | yesterday | MIT | A | 19 | Claude Code, Codex |
| building-pydantic-ai-agentspydantic/pydantic-ai | Skill | 21k | yesterday | MIT | A | 92 | Claude Code, Codex |
| mantis-threat-modelgoogle/mantis | Skill | 2.7k | yesterday | Apache-2.0 | A | 59 | Claude Code, Codex |
| output-dev-workflow-functiongrowthxai/output | Skill | 444 | 4d ago | Apache-2.0 | A | 31 | Claude Code |
| crypto-dataBlockRunAI/blockrun-mcp | Skill | 389 | yesterday | MIT | A | 194 | Claude Code, Codex |
| rpcBlockRunAI/blockrun-mcp | Skill | 389 | yesterday | MIT | A | 91 | Claude Code, Codex |