higgsfield-recall SKILL.md skillB
higgsfield-recall from osidemedia/higgsfield-ai-prompt-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add osidemedia/higgsfield-ai-prompt-skill/higgsfield-recall@v3.0.1Pins v3.0.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- osidemedia/higgsfield-ai-prompt-skill
- Path
skills/higgsfield-recall/SKILL.md- Versions recorded
- 5
- Latest version
- v3.0.1, committed Sep 27, 2026
- First version recorded
- Jun 23, 2026
- Size
- 10,791 bytes
- Repository stars
- 769
- License
- MIT
Use this skill AUTOMATICALLY before writing any Higgsfield prompt. Query the memory databases for relevant past failures and pre-apply known fixes before the user even hits generate. Triggers include: any request to write a Higgsfield prompt, any use of the higgsfield-prompt skill, any mention of generating a video or image on Higgsfield, any MCSLA prompt construction. This skill should run SILENTLY in the background — don't announce it, just apply what's known. If the databases are empty…
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
# Higgsfield Recall — Pre-Generation Memory Check ## Purpose Before writing any Higgsfield prompt, query both memory databases to find relevant past failures. Apply known fixes silently — the user should never have to remember what broke before. The system remembers for them. **This skill runs automatically** as part of any Higgsfield prompt generation. It does not interrupt the workflow unless it finds something relevant. **Bootstrap status:** The databases ship with seed entries covering the most common failure patterns (character drift, VHS style ignored, I2V static output, camera conflicts, lip-sync desync, content filter blocks for real persons and IPs). These grow automatically as the user logs new failures. --- ## When to Run Run a recall check whenever: - Writing or improving a Higgsfield prompt (any type) - The user mentions a topic, character, action, or style that could match past failures - The prompt contains terms that historically triggered content filters - The model being selected has previously produced poor results for this type of shot **Do NOT announce running the recall check.** Just run it, apply what's relevant, …
Read the whole file at its exact version.
How to install
mdr add osidemedia/higgsfield-ai-prompt-skill/higgsfield-recall@sha256:7fc6fb7969e780c3The line at the top of this page pins the label v3.0.1, 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_rgncszf5b6afe7oj)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 23, 2026 and Sep 27, 2026, about one every 24 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v3.0.1 latest | 2026-09-27 | 23c22b4 | 10,791 B | B | view · diff |
| v3.0.0 | 2026-07-06 | 05f2e09 | 10,366 B | B | view · diff |
| v3.0.0 | 2026-06-23 | 10c1996 | 10,294 B | B | view · diff |
| v3.0.0 | 2026-06-23 | 88844c4 | 9,623 B | B | view · diff |
| v3.0.0 | 2026-06-23 | 371a9a8 | 9,368 B | B | view |
Audit of the latest version
- fail: No prompt-injection phrasing (matched: Do not tell the user)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10791 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 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
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
osidemedia/higgsfield-ai-prompt-skill · 769 stars · license MIT · pushed 2026-09-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rgncszf5b6afe7oj GET https://markdownregistry.com/api/v1/resolve?ref=osidemedia/higgsfield-ai-prompt-skill/higgsfield-recall GET https://markdownregistry.com/api/v1/blob/7fc6fb7969e780c3f3d1006ec8e345864d9be9ce3c0f83936592ee4bed679da2
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.