embeddings-search SKILL.md skillA
embeddings-search from ericrisco/rsc-harness is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ericrisco/rsc-harness/embeddings-search@git:20260729.9b4d66aPins git:20260729.9b4d66a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ericrisco/rsc-harness
- Path
skills/embeddings-search/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260729.9b4d66a, committed Jul 29, 2026
- First version recorded
- Jun 2, 2026
- Size
- 10,810 bytes
- Repository stars
- 236
- License
- MIT
Use when choosing an embedding model, chunk size, or query form, when semantic search returns irrelevant results, when adding hybrid BM25+vector or a reranker, or when a retrieval change needs a number (recall@k, nDCG, MRR). NOT operating the store — index tuning, quantization (that is `vector-db`) — nor the retrieve-to-answer loop (that is `rag`).
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
# embeddings-search — make and judge the vectors You own the **embedding technique layer**: turn a corpus into searchable vectors, turn a question into a good retrieval, and **measure whether that retrieval is any good**. You stop the moment the right chunks come back, measured by a number. You do not assemble a prompt or generate an answer. Route the adjacent surfaces away: - **Operating the store** — collection schema, HNSW/IVFFlat tuning, metadata-filter path, quantization, `ef_search` recall knobs → [`../vector-db/SKILL.md`](../vector-db/SKILL.md). You decide *what vectors go in and how to query*; vector-db decides *how the store holds and serves them*. - **The full retrieve → rerank → prompt → generate → answer loop** and its groundedness / faithfulness eval → [`../rag/SKILL.md`](../rag/SKILL.md). - **Pulling typed fields out of documents** (invoice number, date, total) → [`../structured-extraction/SKILL.md`](../structured-extraction/SKILL.md). - **Writing the prompt the model reasons with** → [`../prompt-engineering/SKILL.md`](../prompt-engineering/SKILL.md). ## 1. Pick the embedding model …
Read the whole file at its exact version.
How to install
mdr add ericrisco/rsc-harness/embeddings-search@sha256:ba1819b30a2006e0The line at the top of this page pins the label git:20260729.9b4d66a, 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_k47uv6itrr3gohod)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jun 2, 2026 and Jul 29, 2026, about one every 57 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260729.9b4d66a latest | 2026-07-29 | 9b4d66a | 10,810 B | A | view · diff |
| git:20260602.ebb0210 | 2026-06-02 | ebb0210 | 11,974 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 (10810 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
ericrisco/rsc-harness · 236 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k47uv6itrr3gohod GET https://markdownregistry.com/api/v1/resolve?ref=ericrisco/rsc-harness/embeddings-search GET https://markdownregistry.com/api/v1/blob/ba1819b30a2006e00b54bec9be86918b20bace6e925bcfebe5238e41c8c87aeb
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.