Borrowing it
Nothing to install: this file belongs to skyciv/skyciv-ai-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/skyciv/skyciv-ai-skills/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/skyciv/skyciv-ai-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/instructions/skyciv/skyciv-ai-skills/copilot-instructions)<a href="https://agentmods.dev/instructions/skyciv/skyciv-ai-skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/skyciv/skyciv-ai-skills/copilot-instructions/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/instructions/skyciv/skyciv-ai-skills/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/skyciv/skyciv-ai-skills/copilot-instructions.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 | $0.01178 | $0.01178 |
| Opus 5 | $0.00589 | $0.00589 |
| Sonnet 5 | $0.00236 | $0.00236 |
| Haiku 4.5 | $0.00118 | $0.00118 |
Grade A, and why
skyciv-ai-skills copilot-instructions.md 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 6d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SkyCiv AI Skills — Project Guidelines
Project Overview
This repository is a collection of skills built on top of the SkyCiv structural engineering platform. Each skill teaches an AI agent how to use a specific part of the SkyCiv API ecosystem. Skills are designed to be composed together to build high-quality structural engineering software.
Skill Structure
Each skill lives in its own folder with a SKILL.md file at the root of that folder:
<skill-name>/
SKILL.md # required — skill instructions and API reference
assets/ # optional — example inputs, catalogues, templates
Skill files use YAML frontmatter when the skill needs a name, description, or argument-hint discoverable by agents. Not all skills need frontmatter (documentation-only skills may omit it).
Adding a New Skill
When a new skill folder and SKILL.md are added to this repository, always update README.md to include an entry for it. The README is the primary index for humans and agents discovering what skills are available.
Add the skill to the skills table in README.md using this format:
| [skill-folder-name](./skill-folder-name/) | One-line description of what this skill enables |
Keep the table sorted alphabetically by folder name.
Skill Authoring Guidelines
- Prerequisite note first: If a skill depends on
S3D.session.startor another skill, call that out at the top. - Use tables for parameters: Prefer Markdown tables over prose lists for API parameters.
- Include minimal working examples: Show the smallest JSON payload that demonstrates the core use case.
- Reference related skills: Cross-link to sibling skills where relevant (e.g.,
s3d-api→skyciv-api-v3). - Be specific about units: Always state whether values are metric or imperial, and which field controls units.
Skill Relationships
Skills are designed to work together:
skyciv-api-v3 → Core auth + request envelope (prerequisite for all API skills)
s3d-api → Build and solve structural models
s3d-apps → Build custom client-side mini-apps embedded inside S3D itself
cloudcad-api → Generate CAD drawings from models
renderer → Visualise models in the browser
load-gen-api → Retrieve wind/snow/seismic loads by location
schema-agent → Interpret floor plans (DXF/image) into a structural schema
section-selector → Select and inject the right section from the library into an S3D model
run-quick-design → Run pre-built SkyCiv calculators
qa-engineer → Review and validate engineering outputs
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.
- 6d ago Changed · +5 lines · +106 tokens per session 858326b99946
- 10d ago First seen · 78 lines · 1,072 tokens per session scan A d40c8e3be364
skyciv-ai-skills copilot-instructions.md is an instructions file published in the GitHub repository skyciv/skyciv-ai-skills (7 stars, last pushed 7d ago), licensed MIT. It adds 1,178 tokens to every session, about $0.0059 per session on Opus 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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