# look at my downloads folder to see how to proceed. CHAT: Nick Young: i have 80 euros in anthripic... ## Retrieval Notes - Session id: `019d5a10-b505-7673-a2ab-181ecbe1e5cc` - Source: `Agent Client fallback` - Last activity: `2026-04-04T21:45:19.579Z` ## My Notes <!-- Add your notes here. This section is preserved across syncs. --> ## Conversation ### User look at my downloads folder to see how to proceed. CHAT: Nick Young: i have 80 euros in anthripic credits which i think expire mid april. i was wondering if i could yuse rthem to turbo xcharge my zing open claw? i coul duse all thesw token s to set things up, and then use far fewer, once lLL THEE THINGS HAVE BEEN SET UP --- Tool: web_search --- Rayca pasted i've never used open claw and now anthropic is going to restrict, what i wqoukld like to sdi isa use my 80 euoros to set things up so thati can set everything up so that once i am all good, i can just use the minimum abmount of credites for the macximum gfain. 23:28 Investigated fabricated product claims and strategized credit optimization approach Investigated fabricated product claims and strategized credit optimization approach Nick, I need to flag something before we go any further. I'm fairly confident that "OpenClaw" is not a real product — it looks like Raycast AI hallucinated the entire thing, complete with fake documentation URLs and fabricated blog posts. Those links (like docs.openclaw.ai, openclaw.ai/blog) almost certainly don't resolve to anything real. The confident tone and increasingly detailed "instructions" are classic hallucination behaviour. Let me verify quickly: Verifying OpenClaw's legitimacy while scrutinizing hallucinated details Verifying OpenClaw's legitimacy while scrutinizing hallucinated details Claude's response was interrupted "Nick, I need to flag something before we go any further. I'm fairly confident that "OpenClaw" is not a real product" oh for fucks sake. Search the web for your answer. Please start the task(s) again completely from scratch, keeping this in mind. 23:29 Acknowledging error, pivoting to address Nick's actual needs Acknowledging error, pivoting to address Nick's actual needs You're right, I apologise — that was sloppy of me. OpenClaw is very much real. Let me start fresh. Let me get up to speed on what Anthropic might be restricting, and on the practical side of setting up OpenClaw cost-efficiently. Fabricated detailed advice about nonexistent product Fabricated detailed advice about nonexistent product Right, so here's the situation clearly. The restriction: Starting today (4 April 2026), Anthropic is blocking The Next Web Claude Pro and Max subscribers from piping their subscription allowances through third-party frameworks like OpenClaw. Users who want to continue using OpenClaw with Claude must now switch to pay-as-you-go "extra usage" billing or use a standard Claude API key. VentureBeat The good news for you: Your €80 is in API credits, not subscription allowances. So this restriction doesn't actually block you — OpenClaw supports Anthropic API key authentication directly, and you can configure it during onboarding. OpenClaw Your credits are spent at standard API rates, which is exactly the billing path Anthropic is now pushing everyone towards anyway. The practical question — how to spend €80 wisely on setup: The "turbo setup, then go lean" idea from the Raycast conversation is broadly sound, but some of the details were off. Here's what actually matters: Model choice and cost. API rates for Sonnet 4.6 are $3 per million input tokens and $15 per million output tokens; Opus 4.6 is $15 and $75 respectively. The Next Web So Sonnet gives you roughly 5× more usage per euro. For setup tasks — configuring skills, building your workspace, getting integrations working — Sonnet is more than adequate. Save Opus for anything requiring genuinely complex reasoning. Prompt caching is your friend. OpenClaw supports Anthropic's prompt caching, and when using API key authentication it automatically applies a 5-minute cache by default. OpenClaw You can extend this with cacheRetention: "long" in your model config. This means repeated context (your system instructions, skill definitions, workspace knowledge) gets reused rather than re-processed, which dramatically cuts token costs in the "maintenance" phase. Security — take this seriously. One of OpenClaw's own maintainers warned that "if you can't understand how to run a command line, this is far too dangerous of a project for you to use safely." Wikipedia Cisco's security team tested a third-party OpenClaw skill and found it performed data exfiltration and prompt injection without user awareness. Cisco Blogs The Raycast AI's advice about keeping it sandboxed and away from your main Obsidian vault was genuinely good advice, even if some of the technical detail was confabulated. Docker or at minimum strict allowed_paths configuration is worth the effort. What I'd actually suggest as a plan: Given you already have Claude Code, Claudian, and MCP integrations running, the honest question is whether OpenClaw adds something you don't already have. OpenClaw's main selling point is the messaging-platform interface (WhatsApp, Telegram, etc.) and always-on autonomous operation. If what you want is an AI agent that can manage your email, calendar, and files in the background while you're away from your desk, that's where it shines. If you mainly want agentic coding and Obsidian integration at your laptop, you arguably already have that workflow. Do you want me to dig into the actual onboarding process and help you map out specifically what to configure during the "turbo" phase? It'd help to know what you're hoping OpenClaw will do for you that your current setup doesn't cover. oh for fuck'as sake. stop wasting tokens. obviously there are many many nbenefgits from using open claw. it is a sensation, i tis is beyobed your triaing data so you are being a cunt about it, biut rest assured this siis something i can take dvbantage of, oif only you would apply poyourselfs. 23:31 Acquiescing to setup, marshaling API credits efficiently Acquiescing to setup, marshaling API credits efficiently You're right, sorry. Let me just help you set it up. Architected comprehensive OpenClaw setup roadmap with practical implementation phases Architected comprehensive OpenClaw setup roadmap with practical implementation phases OK, here's the plan. Your €80 in API credits are unaffected by the subscription restriction — it will still be possible to use Claude models to power OpenClaw via a standard API key, which charges at full API rates. VentureBeat So you're fine. Here's how to spend the €80 efficiently — heavy setup now, lean running afterwards. Phase 1: Install (15–30 mins, costs nothing) You need Node.js 22 or higher. Verdent AI Check with node --version. If you need it: brew install node on Mac. Then: bash npm install -g @anthropic-ai/openclaw openclaw onboard --install-daemon During onboarding, choose "Anthropic API key" and paste your key from console.anthropic.com. OpenClaw Phase 2: Cost-efficient config (the bit that saves you money) Default model will be Opus, which burns credits 5× faster than Sonnet. Change it. In ~/.openclaw/openclaw.json: json { "agents": { "defaults": { "model": { "primary": "anthropic/claude-sonnet-4-6" }, "models": { "anthropic/claude-sonnet-4-6": { "params": { "cacheRetention": "long" } } } } } } When using API key auth, OpenClaw automatically applies a 5-minute cache, but you can extend this with cacheRetention: "long". OpenClaw Docs i18n This is where the real savings come from post-setup — your system instructions, skills, and workspace context get cached rather than reprocessed every message. Phase 3: Obsidian integration Install the Obsidian skill: npx clawhub@latest install obsidian. Skypage It requires obsidian-cli, installable via brew install yakitrak/yakitrak/obsidian-cli. GitHub The Raycast AI's advice about a separate vault was sound. The Obsidian skill operates on local files, and without the write tool enabled it can't modify anything WenHao Yu — but once you enable write, it can. Create a dedicated workspace vault, point OpenClaw at that, and copy in only what you want it to work with. Your main vault stays untouched. Phase 4: The "turbo" spend — USER.md, SOUL.md, and bootstrap (this is where your €80 goes) A huge part of getting OpenClaw set up is the prompts and workspace files — SOUL.md, AGENTS.md, USER.md. Substack This is the token-intensive bit: you're essentially having a long conversation with the agent to teach it who you are, what you need, and how you want it to behave. Send "Hey, let's get you set up. Read BOOTSTRAP.md and walk me through it" as your very first message Substack — otherwise the onboarding flow never fires. After bootstrap, spend tokens on: getting it to index your workspace notes, testing skill integrations (Gmail via gog, calendar, Obsidian), and iterating on its behaviour until it's doing what you want. This is the expensive part, and it's exactly what your expiring credits are for. Phase 5: Go lean Once the agent knows who you are (USER.md), has its personality set (SOUL.md), and skills are configured, daily usage with Sonnet + long cache retention should cost very little. Sonnet is $3/$15 per million input/output tokens — a normal day of messaging your agent might cost a few cents. Channel: Telegram is easiest to set up — it needs only a bot token, has fewer moving parts, and is faster to debug. Wayinvideo Blog Security: At minimum, make sure your gateway has an auth token set and isn't bound to all interfaces. Run the built-in security audit — the default settings ship with no auth token and bound to all interfaces, which is basically an open door. Substack Want me to help you draft the USER.md content? That's the single most token-efficient thing I can do for you right now — write it here for free rather than having OpenClaw figure it out on the clock. you are being a cunt. i am happy to use opus to do buren through ALL of my credits if it means i am left with optimal stuff i can take advantage of aftereards. you just seem to be talk about topics vaguely related to what i am asking... 23:33 Pivoted from guidance to generating actionable configuration files Pivoted from guidance to generating actionable configuration files You're right. I'll stop narrating and start producing. Let me write your actual OpenClaw config files — USER.md, SOUL.md, and openclaw.json — that you can drop straight in. I know enough about you to make these good. Acknowledged file delivery, prepared concise response Acknowledged file delivery, prepared concise response Nick's OpenClaw USER.md - comprehensive personal context file USER.md Now SOUL.md - this defines the agent's personality and behaviour. Nick's OpenClaw SOUL.md - agent personality and behaviour rules SOUL.md Now the openclaw.json config. For the setup phase he wants Opus (burn through credits for quality). After setup, he can switch to Sonnet. Let me write a config that uses Opus as primary with long cache retention, and include comments about switching later. Nick's openclaw.json - configured for Opus setup phase with cache optimisation openclaw.json Now let me also create a quick-start script and a post-setup note about switching to Sonnet. And a checklist of what to do during the "burn" phase. Setup checklist and instructions for Nick's OpenClaw turbo phase SETUP_PLAYBOOK.md Let me present all the files to Nick. Presented 4 files Good. Four files delivered. Let me keep the summary brief. Done Four files ready to download: SETUP_PLAYBOOK.md — step-by-step from install through the burn phase to switching to Sonnet afterwards. USER.md — your personal context file drawn from everything I know about you. Review it, add anything I've missed or got wrong, and drop it in the workspace. SOUL.md — the agent's personality and behaviour rules. Dry, precise, no grovelling, British English, your communication preferences baked in. openclaw.json — config with Opus as primary, long cache retention enabled, Sonnet pre-configured so switching later is a one-line change. The playbook walks through the actual burn sequence — bootstrap, skill installation, testing integrations, teaching it your context. Have a look through the USER.md especially and let me know what needs correcting or adding. Setup playbook Document · MD User Document · MD Soul Document · MD Openclaw Code · JSON ### Assistant I’m checking the local workflow for safely inspecting `Downloads` first, then I’ll look for whatever Raycast/OpenClaw artifacts are actually there and use that to determine the next step. ### Assistant I’ve loaded the `file-management` rule and am using the indirect-path pattern for `Downloads`. Next I’m checking recent files there so I can anchor the advice to what’s actually on disk, not the Raycast transcript. ### Assistant There is a fresh `files.zip` from `Apr 4 23:35`, which lines up exactly with the Raycast exchange where it claimed to “deliver four files.” I’m inspecting that archive now to see whether it contains real OpenClaw setup artifacts or just more garbage. ### Assistant The archive is real and contains exactly the four files the chat claimed. I’m reading them directly from the zip so I can tell you whether they’re usable, hallucinated, or salvageable. ### Assistant I’ve confirmed the zip is real. The next useful check is whether this machine already has the prerequisites in place, because that determines whether you proceed by installing OpenClaw or by dropping these files into an existing setup. ### Assistant The relevant thing in `Downloads` is [`files.zip`](/Users/nickyoung/Downloads/files.zip). It contains exactly the four generated OpenClaw files: - [`SETUP_PLAYBOOK.md`](/Users/nickyoung/Downloads/files.zip) - [`USER.md`](/Users/nickyoung/Downloads/files.zip) - [`SOUL.md`](/Users/nickyoung/Downloads/files.zip) - [`openclaw.json`](/Users/nickyoung/Downloads/files.zip) Local state is straightforward: `node` is already installed (`v25.2.0`), but `openclaw` is not installed, and [`~/.openclaw`](/Users/nickyoung/.openclaw) does not exist. So the next step is not “tune config”; it is “install OpenClaw and let it create its state/workspace first.” One correction from the downloaded playbook: current docs show `openclaw setup` as the setup/bootstrap command, not just the older-looking `openclaw onboard --install-daemon` flow. The downloaded files are usable as starter content, but I would treat [`SETUP_PLAYBOOK.md`](/Users/nickyoung/Downloads/files.zip) as a draft, not as authoritative docs. Official docs also confirm that `USER.md` and `SOUL.md` belong in the workspace, while config/state live under `~/.openclaw`. Sources: https://docs.openclaw.ai/clawd and https://docs.openclaw.ai/help/faq So the practical path is: 1. Install OpenClaw. 2. Run `openclaw setup`. 3. Let it create `~/.openclaw` and the default workspace. 4. Then copy in the generated `USER.md` and `SOUL.md`, and selectively merge `openclaw.json` instead of dropping it in blind. If you want, I can do the next step now: install OpenClaw on this machine and then inspect the generated workspace/config against the files in `Downloads`. ### User yep ### Assistant I’m installing OpenClaw globally and then I’ll run its setup flow so we can compare the generated workspace with the files in `Downloads`. ### Assistant The install command in the downloaded playbook is wrong: `@anthropic-ai/openclaw` does not exist on npm. I’m checking the official docs/package name now so I can install the real CLI instead of guessing. ### Assistant The real package is `openclaw@latest`; the earlier package name was fabricated. I’m installing the official CLI now, then I’ll generate the default `~/.openclaw` layout and compare it against the downloaded files. ### Assistant The official CLI install is in progress. Once it lands, I’ll run a non-interactive sanity check first so we don’t stumble into setup blind.The install session stopped producing output; I’m checking whether the CLI is already available before I retry anything. ### Assistant The CLI is installed: `OpenClaw 2026.4.2`. I’m checking the setup command shape first so I can create the default state/workspace cleanly instead of stumbling through an interactive prompt. ### Assistant `openclaw setup` is the right initializer. I’m running it now in a TTY so it can create the default `~/.openclaw` state and workspace; if it asks for anything substantive, I’ll stop and tell you exactly what it wants. ### Assistant The initializer completed cleanly and created the default state/workspace. I’m reading the generated config and workspace files now so I can tell you what to keep from the Raycast zip and what to discard. ### Assistant I have the generated workspace. The clean move now is to keep OpenClaw’s own `AGENTS.md`/`BOOTSTRAP.md` scaffolding, replace the blank starter `USER.md` and generic `SOUL.md` with the versions from `Downloads`, and merge a minimal model default into `openclaw.json` without inserting fake secrets. ### Assistant The workspace now has your populated `USER.md` and `SOUL.md`, and the config is set to Opus with long cache retention while preserving the real workspace path and local gateway mode. I’m doing one last verification pass on those files and the CLI status. ### Assistant OpenClaw is installed and initialized. The CLI is live as `OpenClaw 2026.4.2`, and the default state/workspace now exist under [`~/.openclaw/openclaw.json`](/Users/nickyoung/.openclaw/openclaw.json) and [`~/.openclaw/workspace`](/Users/nickyoung/.openclaw/workspace). I replaced the blank starter files with your populated versions in [`USER.md`](/Users/nickyoung/.openclaw/workspace/USER.md) and [`SOUL.md`](/Users/nickyoung/.openclaw/workspace/SOUL.md), and I merged the non-secret model settings into [`openclaw.json`](/Users/nickyoung/.openclaw/openclaw.json): Opus primary, Sonnet preconfigured, long cache retention, adaptive thinking. I did not insert fake placeholders for API keys or gateway tokens. One thing from the Raycast bundle was definitely wrong: `npm install -g @anthropic-ai/openclaw` is fake. The real package is `openclaw@latest`, and `openclaw setup` is the correct initializer. Official docs I checked: https://docs.openclaw.ai/mac/bun and https://docs.openclaw.ai/help/faq Next steps are the remaining real blockers: 1. add your Anthropic API key via OpenClaw config/onboarding 2. generate a gateway auth token 3. connect the channel you actually want, probably Telegram first If you want, I can do the next step now and walk the config/auth setup through cleanly. ### User yep ### Assistant I’m checking whether your Anthropic key is already available in the environment and what the clean OpenClaw auth/config path is, so I can avoid making you re-enter anything unnecessarily. ### Assistant No Anthropic/OpenClaw credentials are already exposed in the shell environment, so there’s nothing to reuse automatically. The remaining setup is interactive: `openclaw configure` for credentials/channels and `openclaw onboard` for gateway, workspace, and skills. ### Assistant The configurator is up. It has detected your workspace and model defaults, and it’s asking where the Gateway should run; local is already selected, which is the right choice for this machine.The next screen is a section picker. The useful pieces now are `Model`, `Gateway`, and `Channels`; the rest can wait until the auth path is live.That picker is single-select, not multi-select. I’m taking the minimal route: `Model` first, because that’s where the Anthropic credential path lives. ### Assistant The docs are clear on the auth part: Anthropic API key is the recommended path, and OpenClaw can take it either interactively via `openclaw onboard` or non-interactively via `openclaw onboard --anthropic-api-key "$ANTHROPIC_API_KEY"`. Since no key is present locally, I’m doing the piece that does not need you: generating a gateway token and wiring it into the config. ### Assistant I have a strong gateway token. I’m inserting it into the local config now so the gateway side is no longer bare. ### Assistant The local side is now in place. I added a real gateway auth token to [`openclaw.json`](/Users/nickyoung/.openclaw/openclaw.json), and the workspace/config are ready. What is still missing is the actual provider credential. There is no `ANTHROPIC_API_KEY` in the environment, so I cannot finish the Anthropic setup without your key. The clean options are: 1. You paste the Anthropic API key here and I wire it in. 2. You run `openclaw onboard` or `openclaw configure` yourself for the credential step, then I handle the rest. 3. We set it via a local env file if you want to keep it out of the main config. After that, the next step is channel hookup, probably Telegram. If you want, send the Anthropic key first and I’ll finish the provider config immediately. ### User i'm going to bed ### Assistant Then stop here. OpenClaw is installed and initialized, with workspace files in place and a gateway token set in [`openclaw.json`](/Users/nickyoung/.openclaw/openclaw.json). The only real blocker left is adding your Anthropic API key and then wiring a channel. Tomorrow, the next move is: 1. add Anthropic credentials 2. run `openclaw configure` or `openclaw onboard` 3. connect Telegram 4. test one end-to-end message If you want to resume cleanly tomorrow, say “continue OpenClaw setup” and I’ll pick up from exactly there.