Borrowing it
Nothing to install: this file belongs to AcKeskin/contexture. 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/AcKeskin/contexture/main/.github/instructions/rendering.instructions.mdgit clone --depth 1 https://github.com/AcKeskin/contextureWrote 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/ackeskin/contexture/rendering)<a href="https://agentmods.dev/instructions/ackeskin/contexture/rendering"><img src="https://agentmods.dev/badge/instructions/ackeskin/contexture/rendering/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/ackeskin/contexture/rendering"><img src="https://agentmods.dev/badge/instructions/ackeskin/contexture/rendering.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 | $0.03515 | $0.03515 |
| Opus 5.5 | $0.01406 | $0.01406 |
| Sonnet 5.5 | $0.00703 | $0.00703 |
| Haiku 4.5 | $0.00351 | $0.00351 |
Grade A, and why
contexture rendering.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 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
rendering rules
Auto-loaded by Copilot when editing files matching
**. Generated fromarchitectural-rules/rendering/— do not hand-edit.
Color Space and Precision Discipline
All lighting and shading calculations must be performed in linear light (scene-linear color space); sample sRGB textures through hardware linearization (GL_SRGB8_ALPHA8 / DXGI_FORMAT_*_SRGB / MTLPixelFormatRGBA8Unorm_sRGB) so the hardware converts on read. Mixing gamma-encoded values with linear math produces physically incorrect results. (IEC 61966-2-1 sRGB standard; OpenGL 4.6 spec §8.24 "sRGB Conversion"; Khronos data format spec)
Apply the linear-to-sRGB (or target OETF) conversion exactly once, at the final swapchain/output boundary — via sRGB framebuffer attachment (GL_FRAMEBUFFER_SRGB / DXGI_FORMAT_*_SRGB swapchain), post-process tone-map output, or explicit gamma encode in the final fragment. Do not gamma-encode intermediate render targets. (OpenGL 4.6 spec §17.3.9; D3D11/D3D12 DXGI swap chain format guidelines)
For HDR output paths, apply the correct OETF for the target display standard (PQ/ST.2084 for HDR10, HLG for broadcast) in the tone-mapping pass, not ad-hoc gamma curves. HDR10 metadata (MaxCLL, MaxFALL) must be set correctly; incorrect OETF yields washed-out or clipped images on HDR displays. (ITU-R BT.2100 HDR standard; SMPTE ST.2084 PQ EOTF; D3D12 HDR output guide; Vulkan VK_EXT_hdr_metadata)
Use float16 (R16G16B16A16_FLOAT / GL_RGBA16F) or higher for HDR intermediate render targets; R8G8B8A8_UNORM is insufficient for HDR accumulation or lighting buffers and causes precision loss and banding. Use R11G11B10_FLOAT for HDR when alpha is not needed to save bandwidth. (general HDR render target best practice; GPU Pro / GPU Gems references)
Do not accumulate (additive blend, multipass light accumulation) into 8-bit unorm render targets; the quantization error compounds per pass and produces visible banding. Accumulate in float16 or higher, then resolve/tonemap to 8-bit at output. (general rendering precision best practice; physically based rendering literature)
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 First seen · 100 lines · 3,515 tokens per session scan A c40a73ad82f4
contexture rendering.instructions.md is an instructions file published in the GitHub repository AcKeskin/contexture (2 stars, last pushed 2mo ago), licensed MIT. It adds 3,515 tokens to every session, about $0.0141 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.