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/skyciv/skyciv-ai-skillsnpx agentmods add skills/skyciv/skyciv-ai-skills/analysis-resultsWrote 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/skyciv/skyciv-ai-skills/analysis-results)<a href="https://agentmods.dev/skills/skyciv/skyciv-ai-skills/analysis-results"><img src="https://agentmods.dev/badge/skills/skyciv/skyciv-ai-skills/analysis-results/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/skyciv/skyciv-ai-skills/analysis-results"><img src="https://agentmods.dev/badge/skills/skyciv/skyciv-ai-skills/analysis-results.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.03472 |
| Opus 5 | $0.00000 | $0.01736 |
| Sonnet 5 | $0.00000 | $0.00694 |
| Haiku 4.5 | $0.00000 | $0.00347 |
Grade A, and why
analysis-results 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 12d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analysis Results Skill
How to fetch, read, and interpret S3D structural analysis results — the object returned once a model has been solved — whether you're calling the SkyCiv API or building a client-side S3D App that reads results from an already-open session.
Prerequisite: A model must be solved before results exist. Over the API, that's
S3D.model.solve(sees3d-api). Inside an S3D App, the user solves via the S3D UI itself — sees3d-appsfor the app runtime this skill's client-side functions run in.
Two ways to get results — same object, different calls
| Context | Call sequence | Notes |
|---|---|---|
| Server API | S3D.model.set → S3D.model.solve (or S3D.model.solve then S3D.results.get) |
Returns the analysis results object directly, already in API format. |
| S3D App / UI (client-side, inside an open S3D session) | S3D.solver.isSolved() → S3D.results.get() / S3D.results.getAll(true, cb) → S3D.API.output.S3D2API(...) |
S3D.results.* return S3D's internal/legacy format, not the API shape. Always pipe through S3D.API.output.S3D2API to get the same object documented below. |
Do not skip the conversion step in an App. S3D.results.get() / getAll() alone return a
different, older internal shape — if your app was built to read the documented results schema
(the one below, matching the API), reading S3D.results.getAll()'s raw output directly will look
similar but have different/missing keys and silently produce wrong values. Always wrap it:
S3D.API.output.S3D2API(S3D.results.getAll(true))
Checking solve status first
if (!S3D.solver.isSolved()) {
// Nothing to fetch yet — prompt the user to solve, or solve programmatically first.
} else {
// S3D.results.get() is the current load combination only, and always instantly available.
const currentComboResults = S3D.API.output.S3D2API(S3D.results.get());
// S3D.results.getAll(true, cb) returns every load combination, but may take a moment to
// download — do the real work inside the callback, not immediately after the call.
S3D.results.getAll(true, function () {
const allResults = S3D.API.output.S3D2API(S3D.results.getAll(true));
});
}
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.
- 12d ago First seen · 215 lines · 0 tokens per session scan A 1d371fbccb46
analysis-results is a skill published in the GitHub repository skyciv/skyciv-ai-skills (7 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,472 tokens. 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
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…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…