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/gstacknpx skills add thanh-abaii/gstack-windows-port --skill gstackgit 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)<a href="https://agentmods.dev/skills/thanh-abaii/gstack-windows-port/gstack"><img src="https://agentmods.dev/badge/skills/thanh-abaii/gstack-windows-port/gstack.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 | $0.00085 | $0.09387 |
| Opus 5 | $0.00043 | $0.04693 |
| Sonnet 5 | $0.00017 | $0.01877 |
| Haiku 4.5 | $0.00009 | $0.00939 |
Grade A, and why
gs:gstack scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL "https://bun.sh/install" -o "$tmpfile" This is a copy
89% identical to gs:browse — 364 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 878 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 gstack | 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
50 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.
- bin/browse_bridge.py 1.4 KB runs code
- bin/chrome-cdp 2.2 KB
- bin/dev-setup 2.4 KB
- bin/dev-teardown 1.6 KB
- bin/gstack_config.py 2.1 KB runs code
- bin/gstack_slug.py 245 B runs code
- bin/gstack_utils.py 2.7 KB runs code
- bin/gstack-analytics 6.3 KB
- bin/gstack-boot.py 2.9 KB runs code
- bin/gstack-builder-profile 616 B
- bin/gstack-codex-probe 4.5 KB
- bin/gstack-community-dashboard 4.5 KB
- bin/gstack-config 5.5 KB
- bin/gstack-developer-profile 16 KB
- bin/gstack-diff-scope 3.1 KB
- bin/gstack-extension 2.0 KB
- bin/gstack-global-discover.ts 19 KB runs code
- bin/gstack-learnings-log 3.2 KB
- bin/gstack-learnings-search 4.8 KB
- bin/gstack-open-url 338 B
- bin/gstack-patch-names 1.2 KB
- bin/gstack-platform-detect 1.0 KB
- bin/gstack-question-log 6.2 KB
- bin/gstack-question-preference 9.4 KB
- bin/gstack-relink 3.0 KB
- bin/gstack-repo-mode 3.5 KB
- bin/gstack-review-log 707 B
- bin/gstack-review-read 528 B
- bin/gstack-session-update 3.5 KB
- bin/gstack-settings-hook 2.8 KB
- bin/gstack-slug 1.9 KB
- bin/gstack-specialist-stats 2.2 KB
- bin/gstack-team-init 6.7 KB
- bin/gstack-telemetry-log 8.3 KB
- bin/gstack-telemetry-sync 5.3 KB
- bin/gstack-timeline-log 1.2 KB
- bin/gstack-timeline-read 2.6 KB
- bin/gstack-uninstall 10 KB
- bin/gstack-update-check 7.7 KB
- browse/bin/find-browse 814 B
- browse/bin/remote-slug 572 B
- browse/dist/.version 41 B
- browse/dist/bun-polyfill.cjs 2.9 KB runs code
- browse/dist/server-node.mjs 352 KB runs code
- ETHOS.md 7.3 KB
- gstack-upgrade/SKILL.md 11 KB
- review/checklist.md 11 KB
- review/design-checklist.md 6.5 KB
- review/greptile-triage.md 8.1 KB
- review/TODOS-format.md 1.6 KB
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 · 878 lines · 85 tokens per session scan A 32980e511f6d
gs:gstack is a skill published in the GitHub repository thanh-abaii/gstack-windows-port (34 stars, last pushed 3mo ago), licensed MIT. It adds 85 tokens to every session and 9,387 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 89% identical to gs:browse, differing in 364 lines, and is treated as a copy.
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