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 agentmods add skills/thanh-abaii/gstack-windows-port/gstack-setup-deploynpx skills add thanh-abaii/gstack-windows-port --skill gstack-setup-deploygit clone --depth 1 https://github.com/thanh-abaii/gstack-windows-portWrote 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/thanh-abaii/gstack-windows-port/gstack-setup-deploy)<a href="https://agentmods.dev/skills/thanh-abaii/gstack-windows-port/gstack-setup-deploy"><img src="https://agentmods.dev/badge/skills/thanh-abaii/gstack-windows-port/gstack-setup-deploy.svg" alt="Measured on agentmods" 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 | $0.00108 | $0.10179 |
| Opus 5 | $0.00054 | $0.05090 |
| Sonnet 5 | $0.00022 | $0.02036 |
| Haiku 4.5 | $0.00011 | $0.01018 |
Grade A, and why
gs:setup-deploy scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sf "{health-check-url}" -o $null -w "%{http_code}" | Out-Null ; echo "UNREACHABLE" How it starts
The opening of the file, as written. The whole thing — 875 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
python "bin/gstack-boot.py" --skill setup-deploy | iex
If PROACTIVE is "false", do not proactively suggest gstack skills AND do not
auto-invoke skills based on conversation context. Only run skills the user explicitly
types (e.g., /gs:qa, /gs:ship). If you would have auto-invoked a skill, instead briefly say:
"I think /skillname might help here — want me to run it?" and wait for confirmation.
The user opted out of proactive behavior.
If SKILL_PREFIX is "true", the user has namespaced skill names. When suggesting
or invoking other gstack skills, use the /gstack- prefix (e.g., /gstack-qa instead
of /qa, /gstack-ship instead of /ship). Disk paths are unaffected — always use
$GSTACK_ROOT/[skill-name]/SKILL.md for reading skill files.
If output shows UPGRADE_AVAILABLE <old> <new>: read $GSTACK_ROOT/gstack-upgrade/SKILL.md and follow the "Inline upgrade flow" (auto-upgrade if configured, otherwise AskUserQuestion with 4 options, write snooze state if declined). If JUST_UPGRADED <from> <to>: tell user "Running gstack v{to} (just updated!)" and continue.
If WRITING_STYLE_PENDING is yes: You're on the first skill run after upgrading
to gstack v1. Ask the user once about the new default writing style. Use AskUserQuestion:
v1 prompts = simpler. Technical terms get a one-sentence gloss on first use, questions are framed in outcome terms, sentences are shorter.
Keep the new default, or prefer the older tighter prose?
Options:
- A) Keep the new default (recommended — good writing helps everyone)
- B) Restore V0 prose — set
explain_level: terse
If A: leave explain_level unset (defaults to default).
If B: run $GSTACK_BIN/gstack-config set explain_level terse.
Always run (regardless of choice):
Remove-Item -Force ~/.gstack/.writing-style-prompt-pending
touch ~/.gstack/.writing-style-prompted
This only happens once. If WRITING_STYLE_PENDING is no, skip this entirely.
If LAKE_INTRO is no: Before continuing, introduce the Completeness Principle.
Tell the user: "gstack follows the Boil the Lake principle — always do the complete
thing when AI makes the marginal cost near-zero. Read more: https://garryslist.org/posts/boil-the-ocean"
Then offer to open the essay in their default browser:
open https://garryslist.org/posts/boil-the-ocean
touch ~/.gstack/.completeness-intro-seen
Only run open if the user says yes. Always run touch to mark as seen. This only happens once.
If TEL_PROMPTED is no AND LAKE_INTRO is yes: After the lake intro is handled,
ask the user about telemetry. Use AskUserQuestion:
Help gstack get better! Community mode shares usage data (which skills you use, how long they take, crash info) with a stable device ID so we can track trends and fix bugs faster. No code, file paths, or repo names are ever sent. Change anytime with
gstack-config set telemetry off.
Options:
- A) Help gstack get better! (recommended)
- B) No thanks
If A: run $GSTACK_BIN/gstack-config set telemetry community
If B: ask a follow-up AskUserQuestion:
How about anonymous mode? We just learn that someone used gstack — no unique ID, no way to connect sessions. Just a counter that helps us know if anyone's out there.
Options:
- A) Sure, anonymous is fine
- B) No thanks, fully off
If B→A: run $GSTACK_BIN/gstack-config set telemetry anonymous
If B→B: run $GSTACK_BIN/gstack-config set telemetry off
Always run:
touch ~/.gstack/.telemetry-prompted
This only happens once. If TEL_PROMPTED is yes, skip this entirely.
If PROACTIVE_PROMPTED is no AND TEL_PROMPTED is yes: After telemetry is handled,
ask the user about proactive behavior. Use AskUserQuestion:
gstack can proactively figure out when you might need a skill while you work — like suggesting /gs:qa when you say "does this work?" or /gs:investigate when you hit a bug. We recommend keeping this on — it speeds up every part of your workflow.
What ships with it
1 file 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.
- 4d ago First seen · 875 lines · 108 tokens per session scan A 7b3104ed7e63
gs:setup-deploy is a skill published in the GitHub repository thanh-abaii/gstack-windows-port (34 stars, last pushed 3mo ago), licensed MIT. It adds 108 tokens to every session and 10,179 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
use-vercel-action
Wire amondnet/vercel-action into a GitHub Actions workflow to deploy Vercel projects from CI. Use when the user asks to deploy to Vercel from GitHub Actions, add Vercel preview deploys, post a Vercel preview URL on a PR, configure prebuilt Vercel deployments, set up alias domains for previews, create a GitHub…
create-install-scripts
Generate CI/CD installation scripts for AWS CDK projects. Use when setting up deployment pipelines, creating install.sh scripts, configuring GitLab CI, or setting up AWS CodeBuild for CDK deployments.
deployment
Deploy applications to DigitalOcean App Platform via GitHub Actions with proper environment management and secrets handling. Use when setting up CI/CD pipelines, configuring staging/production environments, managing deployment secrets, or creating GitHub Actions workflows.
setup
Use when bootstrapping a Rails project: context, onboarding, CI. Trigger words: setup project, rails new, CI/CD, dev environment, Gemfile.
aws-codepipeline-and-codedeploy
Designs AWS CodePipeline stage/action structure and integrates it with CodeDeploy deployment groups and appspec.yml for EC2/on-prem, ECS, or Lambda deploys. Use when the user asks to "set up CodePipeline," "add a CodeDeploy deployment group," "write an appspec.yml," "wire CodePipeline to CodeDeploy," "troubleshoot a…
complete-cicd-pipeline-deployment-for-serverless-from-scratch
Builds a complete CI/CD pipeline for a serverless (AWS Lambda-style) function from an empty repo — source checkout, zip/layer packaging (not a container image), SCA/SAST security gates, package upload, and a SAM/Serverless-Framework/CDK-style deploy step with alias-based canary traffic shifting, distinct from…