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 skills add Morningstar202604/awesome-skillkit --skill ship-gategit clone --depth 1 https://github.com/Morningstar202604/awesome-skillkitWrote 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/morningstar202604/awesome-skillkit/ship-gate)<a href="https://agentmods.dev/skills/morningstar202604/awesome-skillkit/ship-gate"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/ship-gate/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/morningstar202604/awesome-skillkit/ship-gate"><img src="https://agentmods.dev/badge/skills/morningstar202604/awesome-skillkit/ship-gate.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 | $0.00106 | $0.02299 |
| Opus 5.5 | $0.00042 | $0.00920 |
| Sonnet 5.5 | $0.00021 | $0.00460 |
| Haiku 4.5 | $0.00011 | $0.00230 |
Grade A, and why
ship-gate 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 1mo 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ship Gate
A pre-production audit: scan the codebase across 8 categories, giving a PASS/FAIL/MANUAL verdict per item. Automated checks run via a built-in scanner; items that can't be verified automatically become a manual-confirmation checklist. This skill only audits and reports — it doesn't fix.
Interception Behavior
When the user says "push to production", "deploy", "ship it", "go live", or similar deployment intent, don't deploy directly. Instead:
- Ask: "Have you run the ship gate? Want me to scan it now?"
- If the user agrees → run the workflow below.
- If the user says it's already been run → ask when. If it was over 24 hours ago, or the code changed since then → recommend rerunning.
Input Checklist
| Input | Required | Description |
|---|---|---|
| Project root | No | Defaults to the current directory |
| Scan category | No | One of the 8 (SEC/DB/CODE/DEP/AI/DEPLOY/FE/OBS); defaults to all |
| Output format | No | Human-readable (default, colored) or --json |
| Interactive confirmation | No | Defaults to interactively asking about manual items; add --no-interactive for CI |
When inputs are missing, ask for all at once: "Please provide: (1) project root (blank = current directory); (2) a full scan or just one category."
Pre-flight Checks
# 1. Python 3 is available
python3 --version
# Expected: Python 3.8+. On failure: install and retry, STOP.
# 2. The scanner exists
ls scripts/ship_gate_scanner.py
# Expected: the filename (run inside the skill directory). On failure: cd to the skill directory; still missing → STOP and report.
# 3. The target project directory exists
ls <project root> > /dev/null && echo OK
# Expected: OK. On failure: confirm the path with the user, STOP.
# 4. The checks and patterns library are in place
ls references/checks.md references/patterns.md
# Expected: both filenames. Missing → STOP and report an incomplete repo.
Workflow
Step 1: Full scan
python3 scripts/ship_gate_scanner.py examples/sample-frontend --json --no-interactive --category FE # bundled compliant sample (all FE items pass as ADVISORY → CLEAR_TO_SHIP rc=0); for a full audit on a real project drop --category; a non-zero exit on non-compliance is the CI gate semantics
What ships with it
3 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.
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.
- 1mo ago Changed · -3 tokens per session e3a28f0a7688
- 1mo ago Changed 6428f73e4284
- 1mo ago Changed · -14 lines · +9 tokens per session 5bf272470f27
- 1mo ago First seen · 193 lines · 100 tokens per session scan A 3a8051e5207d
ship-gate is a skill published in the GitHub repository Morningstar202604/awesome-skillkit (0 stars, last pushed 25d ago), licensed Apache-2.0. It adds 106 tokens to every session and 2,299 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.
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