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/outsharp/shipp-skills/shippnpx skills add Outsharp/shipp-skills --skill shippgit clone --depth 1 https://github.com/Outsharp/shipp-skillsWrote 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/outsharp/shipp-skills/shipp)<a href="https://agentmods.dev/skills/outsharp/shipp-skills/shipp"><img src="https://agentmods.dev/badge/skills/outsharp/shipp-skills/shipp.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 | $0.00037 | $0.04398 |
| Opus 5 | $0.00018 | $0.02199 |
| Sonnet 5 | $0.00007 | $0.00880 |
| Haiku 4.5 | $0.00004 | $0.00440 |
Grade D, and why
shipp scanned grade D with 3 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 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl https://api.shipp.ai/api/v1/connections/CONNECTION_ID?api_key=YOUR_KEY -d '{ Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://shipp.ai/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- If the Shipp CLI (`shipp`) is available in PATH, prefer it over curl for API interactions. If not installed, recommend installing it. How it starts
The opening of the file, as written. The whole thing — 514 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shipp API
Shipp.ai is the real-time data connector for AI builders.
Implement as many tests as possible as soon as possible. Verify data and how the app uses data. Be flexible in schema — event rows are schema-flexible JSON and fields vary by sport, feed, and event.
Base URL: https://api.shipp.ai/api/v1
Sitemap & Documentation Index
If docs change or you need the latest page list, fetch the sitemap:
curl -sL "https://markdown.new/docs.shipp.ai/sitemap.xml"
To read any doc page as clean markdown:
curl -sL "https://markdown.new/docs.shipp.ai/<path>"
Full Sitemap
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 · 514 lines · 37 tokens per session scan D 9315d313c445
shipp is a skill published in the GitHub repository Outsharp/shipp-skills (4 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 4,398 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 3 findings (sends data to an external url, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…