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/besty0728/unity-skills/postprocessnpx skills add Besty0728/Unity-Skills --skill postprocessgit clone --depth 1 https://github.com/Besty0728/Unity-SkillsWhat 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 | $0.00016 | $0.00822 |
| Opus 5 | $0.00008 | $0.00411 |
| Sonnet 5 | $0.00003 | $0.00164 |
| Haiku 4.5 | $0.00002 | $0.00082 |
Grade A, and why
unity-postprocess 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 3d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before calling any skill in this module: if you are about to call a skill with parameters guessed from its name or description, STOP — read this file (or fetch its schema via
GET /skills/recommend?includeSchema=true) first. If you already have the parameter definitions from recommend/schema, you may proceed straight to dryRun.
Triggers
- Setting up post-processing
- Adding effects to a VolumeProfile
- Tuning URP/HDRP scene look
- 搭建后处理、向 VolumeProfile 添加效果、调整 URP/HDRP 场景观感
PostProcess Skills
Modern URP / HDRP post-processing skills built on top of the SRP Volume framework. For Volume container / profile CRUD (volume_profile_create, volume_create, etc.), use the volume module.
Operating Mode
- Query skills (
postprocess_list_effects,postprocess_get_effect) areSkillMode.SemiAuto— they run in all three modes without grant. - Mutating skills (
postprocess_add_effect,postprocess_set_parameter,postprocess_set_bloom,postprocess_set_depth_of_field,postprocess_set_tonemapping,postprocess_set_vignette,postprocess_set_color_adjustments) areSkillMode.FullAuto— under Approval they need user grant (grant triggers one server-side execute returning the result); under Auto / Bypass they execute directly. postprocess_remove_effectcarriesSkillOperation.Deleteand is auto-forbidden in Approval / Auto modes (NeverInSemi). Only Bypass or the user-managed Allowlist can run it.
SRP Package Stub
This module is compiled against com.unity.render-pipelines.core (SRP_CORE). When neither URP nor HDRP is installed (no SRP Core), every skill returns a stub { error: "Scriptable Render Pipeline Core package … is not installed." } (RenderPipelineSkillsCommon.NoSRP()). The stub is a diagnostic payload, not a permission denial — it does not require grant and is not treated as NeverInSemi.
Guardrails
DO NOT:
- Use this module for PPv2 /
com.unity.postprocessing - Use this module for general Volume container/profile management; use
volume
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.
- 3d ago First seen · 76 lines · 16 tokens per session scan A fbc9d0dea676
unity-postprocess is a skill published in the GitHub repository Besty0728/Unity-Skills (1,695 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 822 once invoked, about $0.0001 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 2026-08-30.
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