analyze-generative-diffusion-model SKILL.md skillA
analyze-generative-diffusion-model from pjt222/agent-almanac is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pjt222/agent-almanac/analyze-generative-diffusion-model@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pjt222/agent-almanac
- Path
i18n/caveman-lite/skills/analyze-generative-diffusion-model/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0, committed Aug 17, 2026
- First version recorded
- Apr 19, 2026
- Size
- 15,694 bytes
- Repository stars
- 43
- License
- MIT
Analyze pre-trained generative diffusion models (Stable Diffusion, DALL-E, Flux) by computing quality metrics (FID, IS, CLIP score, precision/recall), inspecting noise schedules, extracting and visualizing attention maps, and probing latent spaces. Use when evaluating a pre-trained generative diffusion model's output quality, comparing noise schedule variants, analyzing cross-attention patterns for text-conditioned generation, interpolating between latent codes, or detecting…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Analyze a Generative Diffusion Model Evaluate pre-trained generative diffusion models through quantitative quality metrics, noise schedule inspection, cross-attention map analysis, and latent space probing to understand model behavior, diagnose failure modes, and guide fine-tuning decisions. ## When to Use - Evaluating a pre-trained generative diffusion model's output quality with standard metrics - Computing FID, IS, CLIP score, or precision/recall for generated image sets - Inspecting and comparing noise schedules (linear, cosine, learned) via SNR curves - Extracting cross-attention maps to understand text-to-image token-region correspondences - Interpolating between latent codes or discovering semantic directions in the latent space - Detecting out-of-distribution inputs for a diffusion model pipeline ## Inputs - **Required**: Pre-trained model identifier or checkpoint path (e.g., `stabilityai/stable-diffusion-2-1`) - **Required**: Analysis mode — one or more of: `metrics`, `schedule`, `attention`, `latent` - **Required**: Reference dataset for metric computation (real images or dataset name) …
Read the whole file at its exact version.
How to install
mdr add pjt222/agent-almanac/analyze-generative-diffusion-model@sha256:c910639015e307e5The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_nyegaaelvxjvtvgf)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 19, 2026 and Aug 17, 2026, about one every 60 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-08-17 | a784899 | 15,694 B | A | view · diff |
| v1.0 | 2026-04-19 | a31852a | 15,665 B | A | view · diff |
| v1.0 | 2026-04-19 | e334ebd | 15,704 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15694 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
pjt222/agent-almanac · 43 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_nyegaaelvxjvtvgf GET https://markdownregistry.com/api/v1/resolve?ref=pjt222/agent-almanac/analyze-generative-diffusion-model GET https://markdownregistry.com/api/v1/blob/c910639015e307e54e359f34798eaac01f8bcddc4163f82923b1bdec9a7791c7
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.