recommendations SKILL.md skillA
recommendations from amd/gaia is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add amd/gaia/recommendations@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- amd/gaia
- Path
hub/skills/recommendations/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Aug 18, 2026
- Size
- 2,499 bytes
- Repository stars
- 1,593
- License
- MIT
Recommend films, books, games, restaurants, or gear using what the user has already said they like and dislike, plus a web search for current options. Use when the user asks what to watch, read, play, buy, or try next.
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
# Recommendations
A recommendation is only worth more than a list if it uses something the
recommender knows about *this* person. Memory is what makes it personal; search
is what keeps it current.
## Procedure
1. **Recall taste before searching.**
`recall(query="<category> preferences", limit=20)` and again for dislikes.
Pull both what they liked and, more importantly, what they bounced off — a
dislike is a sharper signal than a like.
2. **If memory is empty, ask two questions**, not ten: one thing in this
category they loved, and one they gave up on. Then continue.
3. **Find current candidates** with `search_web(query)`. Recommend from what
exists now, not from a stale training-set memory of "recent" releases. Use
`fetch_page(url)` on a promising list or review to get real detail.
4. **Rank by predicted fit**, not popularity. For each of 3–5 picks, give:
- the pick,
- **one sentence on why it fits *them*** — naming the specific prior taste it
connects to,
- one honest caveat ("slow first hour", "the sequel is weaker").
5. **Include one deliberate stretch pick** and label it as such. A list that only
…Read the whole file at its exact version.
How to install
mdr add amd/gaia/recommendations@sha256:f354749fd1b818c6The line at the top of this page pins the label v1.0.0, 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_mhigfo6pkfvtmurb)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Aug 18, 2026.
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 (2499 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
amd/gaia · 1,593 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mhigfo6pkfvtmurb GET https://markdownregistry.com/api/v1/resolve?ref=amd/gaia/recommendations GET https://markdownregistry.com/api/v1/blob/f354749fd1b818c61e4cb6fc1864e80c6a591183d15458647730a1e4195a930a
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.