Borrowing it
Nothing to install: this file belongs to taslim/nanoclaw-gws-ea. 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/taslim/nanoclaw-gws-ea/main/.claude/skills/setup-gws-ea/SKILL.mdgit clone --depth 1 https://github.com/taslim/nanoclaw-gws-eaWrote 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/taslim/nanoclaw-gws-ea/setup-gws-ea)<a href="https://agentmods.dev/skills/taslim/nanoclaw-gws-ea/setup-gws-ea"><img src="https://agentmods.dev/badge/skills/taslim/nanoclaw-gws-ea/setup-gws-ea/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/taslim/nanoclaw-gws-ea/setup-gws-ea"><img src="https://agentmods.dev/badge/skills/taslim/nanoclaw-gws-ea/setup-gws-ea.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 | $0.00068 | $0.00908 |
| Opus 5 | $0.00034 | $0.00454 |
| Sonnet 5 | $0.00014 | $0.00182 |
| Haiku 4.5 | $0.00007 | $0.00091 |
Grade A, and why
setup-gws-ea 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 12d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nanoclaw GWS-EA Setup
Tell the user to run bash setup-gws-ea.sh from the project root. That script handles the full end-to-end setup — .env config, GCP provisioning (project, SA, DWD), deps, container image, OneCLI vault, Claude auth, service, first agent (GChat DM), email channel, heartbeat — and then offers to import data from a v1 install if one is detected. It's idempotent: the bootstrap and init steps re-run safely, and the v1-import prompt is asked every run (decline to skip).
The fork ships v2 on main, so a fresh install is just:
git clone https://github.com/taslim/nanoclaw-gws-ea.git
cd nanoclaw-gws-ea
bash setup-gws-ea.sh
Importing from v1
Existing v1 users keep their old checkout running and build v2 in a sibling worktree. Don't git pull v2 onto the v1 checkout — that mixes v1 data with v2 code (the script detects this and refuses).
cd ~/Projects/nanoclaw-gws-ea
git fetch origin
git worktree add ../nanoclaw-gws-ea-v2 origin/main
cd ../nanoclaw-gws-ea-v2
bash setup-gws-ea.sh
The script bootstraps v2, runs the canonical init scripts (main, email, heartbeat), then — once v2 is wired end-to-end — asks whether to import v1's custom agents and active scheduled tasks on top. Answer yes to copy them over, lift matters, and swap launchd from v1 to v2. Answer no to leave v1 alone and keep both running independently.
Override the v1 location with --v1-path PATH or NANOCLAW_V1_PATH=PATH if your layout differs.
Non-interactive flags
--migrate— auto-yes to the v1-import prompt (CI / scripted use)--no-migrate— auto-no (keep v1 alone, just bootstrap + init v2)
There is no separate "fresh" / "reconfigure" mode — re-running is always safe. If init partially completed in a prior failed run, the next run picks up where it left off.
Reinstall and uninstall
For a destructive reset, use these instead of running setup-gws-ea repeatedly:
bash setup-gws-ea.sh --reinstall # wipe v2 state, then re-run setup. Preserves .env, plist, GCP.
bash setup-uninstall.sh # tear down v2 entirely. GCP resources retained.
bash setup-uninstall.sh --gcp # also delete GCP project (separate confirmation).
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.
- 12d ago First seen · 62 lines · 68 tokens per session scan A 1e35671cba41
setup-gws-ea is a skill published in the GitHub repository taslim/nanoclaw-gws-ea (11 stars, last pushed 3mo ago), licensed MIT. It adds 68 tokens to every session and 908 once invoked, about $0.0003 per session on Opus 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.
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