Creator · clshortfuse
Last updated · Sep 7, 2026
RenoDX workflow for generating HDR/SDR test patterns, synthetic charts, ramps, gradients, hue sweeps, color bars, checkerboards, banding panels, gamut stress images, BT.709/BT.2020/AP1 comparisons, and scalar/energy-map validation sources. Use when making test pattern images or d
Sandbox only
Install targets
Codex install prompt
Install the "hdr-test-pattern-generation" agent skill from https://github.com/clshortfuse/renodx/tree/main/.agents/skills/hdr-test-pattern-generation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: RenoDX workflow for generating HDR/SDR test patterns, synthetic charts, ramps, gradients, hue sweeps, color bars, checkerboards, banding panels, gamut stress images, BT.709/BT.2020/AP1 comparisons, and scalar/energy-map validation sources. Use when making test pattern images or datasets for tonemap, gamut, LUT, PsychoV, RenoDRT, HDR, or cICP validation. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"clshortfuse-hdr-test-pattern-generation","task":"Install hdr-test-pattern-generation","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add clshortfuse/renodx --skill hdr-test-pattern-generation
Maintenance
fresh
1d since push
Risk
Safe to try
The SKILL.md excerpt is truncated at the end, but the full file likely continues; no critical issues found.
GitHub quality
3.8K
83/100 Quality · 78/100 Trust
Coverage tags
Review notes
The SKILL.md excerpt is truncated at the end, but the full file likely continues; no critical issues found. · The template file is partially shown, but the provided functions are clear and deterministic.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
3.8K GitHub stars
Repo activity
3.8K stars, 142 forks
Maintenance
1d since push
License
MIT
Install
npx skills add clshortfuse/renodx --skill hdr-test-pattern-generation
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add clshortfuse/renodx --skill hdr-test-pattern-generationDo not use when
Alternative
1.9K Stars
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Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20hdr-test-pattern-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20hdr-test-pattern-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/clshortfuse-hdr-test-pattern-generation/install
Agent should check
Copy prompt
Task: Use hdr-test-pattern-generation in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20hdr-test-pattern-generation%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/clshortfuse-hdr-test-pattern-generation/install
Install command: npx skills add clshortfuse/renodx --skill hdr-test-pattern-generation
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/clshortfuse-hdr-test-pattern-generation/install
LLM text format
/api/skills/clshortfuse-hdr-test-pattern-generation/install?format=text
Find alternatives
/api/skills/search?q=hdr-test-pattern-generation&limit=3
Agent prompt
Use hdr-test-pattern-generation for this task. Review https://www.openagentskill.com/api/skills/clshortfuse-hdr-test-pattern-generation/install, then install with: npx skills add clshortfuse/renodx --skill hdr-test-pattern-generationRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/clshortfuse-hdr-test-pattern-generation
LLM text
/api/registry/manifest/clshortfuse-hdr-test-pattern-generation?format=text
Install alias
/api/registry/install/clshortfuse-hdr-test-pattern-generation
Recommend
/api/registry/recommend?task=Use%20hdr-test-pattern-generation%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS3.8K GitHub stars
Stars/forks activity
INFO3.8K stars, 142 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
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--- name: hdr-test-pattern-generation description: "RenoDX workflow for generating HDR/SDR test patterns, synthetic charts, ramps, gradients, hue sweeps, color bars, checkerboards, banding panels, gamut stress images, BT.709/BT.2020/AP1 comparisons, and scalar/energy-map validation sources. Use when making test pattern images or datasets for tonemap, gamut, LUT, PsychoV, RenoDRT, HDR, or cICP validation." argument-hint: "pattern type, source gamut/transfer, nits or linear range, dimensions, output format, and validation target" ---
# HDR Test Pattern Generation
Use this small skill for **creating source patterns and synthetic datasets**. Larger skills should reference it instead of embedding pattern design rules.
## Boundaries
- Focus on generating deterministic test inputs: ramps, sweeps, charts, masks, and diagnostic images. - Use `analysis-graphing` for plots of pattern statistics or transform curves. - Use `bt2020-png-generation` when the final deliverable is a BT.2020 PQ RGB16 PNG with `cICP` or HDR ICC metadata. - Keep one-off experiments in a scratch output path; promote repeated generators or durable fixtures to `tools/analysis/` or the relevant test asset folder. - Do not silently reuse an existing image if the task needs a controlled source domain; document the source gamut, transfer, white point, and value units.
## First classify the pattern goal
Before generating pixels, state what the pattern is intended to expose:
- Tone-map shape, shoulder, toe, mid-gray, or diffuse-white behavior. - Gamut mapping, hue preservation, negative-channel clipping, or out-of-gamut handling. - LUT precision, tetrahedral/trilinear interpolation, or banding. - PQ/HLG/SDR transfer correctness and viewer metadata behavior. - Spatial artifacts: edge halos, checkerboard instability, bloom thresholds, sharpening, or temporal reprojection. - Scalar/energy maps for RenoDRT/PsychoV/N2 reapply experiments.
## Source domain checklist
Every pattern needs explicit metadata in the script, filename, or sidecar stats:
| Field | Examples | |---|---| | Gamut / primaries | BT.709, BT.2020, AP1, AP0 | | White point | D65, D60, adapted D60→D65 | | Transfer | scene-linear, display-linear nits, sRGB, PQ | | Value scale | `0..1`, stops around 1.0, absolute nits, diffuse-white-relative | | Bit depth / format | EXR float, RGB16 PNG, 8-bit preview PNG/WebP | | Clipping policy | preserve negatives for stats, clip only at output, hard clip to gamut, mask out-of-gamut |
Do not normalize pattern maxima unless normalization is the experiment.
## Useful pattern families
| Pattern | Use for | Notes | |---|---|---| | Neutral ramp / step wedge | Tone curves, PQ quantization, banding | Include fine ramp plus labeled stops or nits steps. | | Hue sweep | Gamut compression and hue preservation | Sweep hue in a known gamut; keep saturation/value and luminance assumptions explicit. | | Primary/secondary chips | BT.709/BT.2020/AP1 comparison | Include white/gray references and expected out-of-gamut chips. | | OOG stress chart | Negative channels, over-1 values, matrix/adaptation errors | Preserve unclipped stats before output clipping. | | Banding panel | 8-bit/10-bit/16-bit path checks | Use smooth ramps plus small-amplitude perturbations when needed. | | Checker/edge pattern | Spatial filters, bloom, sharpening, TAA artifacts | Include hard edges and subpixel-aligned variants if relevant. | | Synthetic scene chart | End-to-end tone/gamut validation | Keep source EXR and rendered outputs together. | | Scalar/energy map | N2/RenoDRT/PsychoV energy diagnostics | Replicate to RGB only at the final visualization/export step. |
## Output guidance
- Prefer EXR float for source fixtures that must preserve scene-linear or out-of-range values. - Use ordinary SDR PNG only for quick human previews or SDR-specific tests. - Use BT.2020 PQ RGB16 PNG plus `cICP` only for HDR delivery or viewer-signaling tests. - Keep stats beside generated outputs: min/max, nonfinite count, negative channels, over-range channels, chosen nits mapping, and source domain. - Name files with the important domain choices, for example `bt709_linear_hue_sweep`, `bt2020_hdr_pq_100nits`, or `syntheticChart_rec709_finite`.
## Existing references
- [HDR pattern template](./templates/hdr_pattern_template.py) for deterministic ramps, hue sweeps, and sidecar stats. - `tests/D3D12HDR-test/images/syntheticChart_rec709.01.exr` for a recurring synthetic chart source. - `tests/D3D12HDR-test/images/RGB_sweep_smooth_31x50.exr` for RGB sweep validation. - `tools/analysis/synthetic_neutwo_energy_reapply_bt2020.py` for synthetic chart to BT.2020 HDR output workflow. - `tools/analysis/validate_mb_compress.py` for BT.2020 hue sweep validation patterns. - `tools/analysis/syntheticChart_rec709_finite/` for generated comparisons and stats.
## Common mistakes to avoid
- Do not mix BT.709, BT.2020, AP1, and AP0 values without naming the conversion path. - Do not apply sRGB transfer to data that is already linear or PQ. - Do not PQ-encode twice. - Do not clip negative or out-of-gamut values before recording diagnostics unless clipping is the behavior being tested. - Do not rely on screenshots as validation assets when exact pixels or metadata matter. - Do not create a new pattern generator when an existing source fixture or script already covers the same controlled case.
Source provenance
Decision snapshot
3,760 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for hdr-test-pattern-generation, ready for a manual X post.
hdr-test-pattern-generation: RenoDX workflow for generating HDR/SDR test patterns, synthetic charts, ramps, gradients, hue... 3.8K stars https://www.openagentskill.com/skills/clshortfuse-hdr-test-pattern-generation?ref=x
Listing + install path for hdr-test-pattern-generation: https://www.openagentskill.com/skills/clshortfuse-hdr-test-pattern-generation?ref=x Install: npx skills add clshortfuse/renodx --skill hdr-test-pattern-generation
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filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness