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/load-combinationsWrote 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/load-combinations)<a href="https://agentmods.dev/skills/skyciv/skyciv-ai-skills/load-combinations"><img src="https://agentmods.dev/badge/skills/skyciv/skyciv-ai-skills/load-combinations/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/load-combinations"><img src="https://agentmods.dev/badge/skills/skyciv/skyciv-ai-skills/load-combinations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00223 | $0.07383 |
| Opus 5.5 | $0.00089 | $0.02953 |
| Sonnet 5.5 | $0.00045 | $0.01477 |
| Haiku 4.5 | $0.00022 | $0.00738 |
Grade A, and why
load-combinations 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 14d 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Load Combinations
How to put load groups, load cases and load combinations on an s3d_model so that
S3D.model.solve gives code-correct results and the S3D UI classifies every group correctly.
Prerequisite: these objects live inside the
s3d_modelpassed toS3D.model.set— sees3d-apifor the full model schema and solve flow, andskyciv-api-v3for auth and the{ auth, options, functions }envelope. The load magnitudes come from you orload-gen-api; reading the solved combinations isanalysis-results.
Units: factors are dimensionless. Load magnitudes carry the units set by
s3d_model.settings.units ("metric" or "imperial"); combinations never change them.
How the pieces fit
Every load (point_loads, distributed_loads, moments, pressures, area_loads,
self_weight, …) carries a load_group string. A combination is a factor per group; the solver
sums group × factor.
| Object | What it does (verified live) |
|---|---|
load_combinations |
Required for combination results. Integer-keyed; each entry is name, criteria, and one numeric key per load group. |
load_cases |
{ "<code id>": { "<group>": "<case symbol>" } }. Tells the S3D UI what type each group is. Also changes the solve output: it adds one type: "load_case" result per symbol (all groups with that symbol summed), which shifts the ids of every later load_group and envelope result. |
load_combination_settings |
country + code choose which standard the S3D UI's Load Group & Cases manager opens on. This is not inert: if it's missing, the UI assumes ASCE-7-2022-LRFD, and any symbol that isn't an ASCE symbol shows as Dead. The other keys (criteria, filters, patterns, …) only record generator settings. |
permanent_load_groups |
Array of the group names the generator varied. Metadata only; the solver ignores it. |
What ships with it
4 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.
- 14d ago Changed · -7 lines · +223 tokens per session 6354b1a0d36d
- 2mo ago First seen · 274 lines · 0 tokens per session scan A f6c30903d7c1
load-combinations is a skill published in the GitHub repository skyciv/skyciv-ai-skills (11 stars, last pushed 15d ago), licensed MIT. It adds 223 tokens to every session and 7,383 once invoked, about $0.0009 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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