Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/thanh-abaii/gstack-windows-portnpx agentmods add skills/thanh-abaii/gstack-windows-port/gstack-landing-reportWrote 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-landing-report)<a href="https://agentmods.dev/skills/thanh-abaii/gstack-windows-port/gstack-landing-report"><img src="https://agentmods.dev/badge/skills/thanh-abaii/gstack-windows-port/gstack-landing-report/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/thanh-abaii/gstack-windows-port/gstack-landing-report"><img src="https://agentmods.dev/badge/skills/thanh-abaii/gstack-windows-port/gstack-landing-report.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 | $0.00018 | $0.04026 |
| Opus 5 | $0.00009 | $0.02013 |
| Sonnet 5 | $0.00004 | $0.00805 |
| Haiku 4.5 | $0.00002 | $0.00403 |
Grade A, and why
gs:landing-report 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 9d 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.
This is a copy
88% identical to gs:codex — 202 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 — 423 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to invoke this skill
Shows which VERSION slots are currently claimed by open PRs, which sibling Conductor workspaces have WIP work likely to ship soon, and what slot /ship would pick next. No mutations — just a snapshot. Use when asked to "landing report", "what's in the queue", "show me open PRs", or "which version do I claim next".
/landing-report — Version Queue Dashboard
Preamble (run first)
python "bin/gstack-boot.py" --skill landing-report | 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?
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.
- 9d ago First seen · 423 lines · 18 tokens per session scan A b62525d4fd61
gs:landing-report is a skill published in the GitHub repository thanh-abaii/gstack-windows-port (35 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 4,026 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to gs:codex, differing in 202 lines, and is treated as a copy.
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