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 skills add CheshireJCat/blender --skill reference-look-calibrationgit clone --depth 1 https://github.com/CheshireJCat/blenderWrote 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/cheshirejcat/blender/reference-look-calibration)<a href="https://agentmods.dev/skills/cheshirejcat/blender/reference-look-calibration"><img src="https://agentmods.dev/badge/skills/cheshirejcat/blender/reference-look-calibration/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/cheshirejcat/blender/reference-look-calibration"><img src="https://agentmods.dev/badge/skills/cheshirejcat/blender/reference-look-calibration.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 | $0.00083 | $0.00459 |
| Opus 5 | $0.00042 | $0.00230 |
| Sonnet 5 | $0.00017 | $0.00092 |
| Haiku 4.5 | $0.00008 | $0.00046 |
Grade A, and why
reference-look-calibration 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 10d 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.
This is a copy
95% identical to reference-look-calibration — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Reference Look Calibration
This skill handles the final visual match after geometry and UVs are locked. It must not compensate for wrong shape, wrong UVs, or wrong camera framing.
Inputs
- accepted geometry / UV fit reports;
- reference/original image(s);
- product preview render(s);
- optional mask overlays and multiview fit reports.
Metrics
Use scripts/look_fit_report.py to compare:
- object/bright-mask IoU and bbox extent;
- configured hue-band mask IoU for glow/accent assets;
- mean/std HSV and BGR under object mask;
- brightness p95 / mean;
- saturation mean;
- hue drift.
Calibration order
- Camera crop / orthographic scale — object extent must match before color tuning.
- World/background darkness.
- Base material hue/value/saturation.
- Emission strength and glow color.
- Aura/HUD ring color and thickness.
- Color management / exposure / gamma.
- Final render overlay and metrics.
Hard rules
- Do not tune lighting before geometry/UV fit gates pass.
- Do not change accent/glow hue away from the source reference unless the user explicitly asks.
- Do not hide mismatched geometry with bloom, fog, or overexposure.
- Write look metrics before and after calibration.
Handoff
Consumes validation/multiview_fit_report*.json and product previews. Produces validation/look_fit_report.json, look overlays, and updated material/light/render settings.
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.
- 10d ago First seen · 50 lines · 83 tokens per session scan A 2b8313c039eb
reference-look-calibration is a skill published in the GitHub repository CheshireJCat/blender (26 stars, last pushed 20d ago), licensed MIT. It adds 83 tokens to every session and 459 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to reference-look-calibration, differing in 2 lines, and is treated as a copy.
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