semantic-grep SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
semantic-grep from oaustegard/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add oaustegard/claude-skills/semantic-grep@v0.2.1Pins v0.2.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- oaustegard/claude-skills
- Path
semantic-grep/SKILL.md- Versions recorded
- 4
- Latest version
- v0.2.1, committed Sep 9, 2026
- First version recorded
- Apr 19, 2026
- Size
- 8,637 bytes
- Repository stars
- 158
- License
- MIT
In-process semantic search over text files or in-memory strings, using Gemini embeddings via the CF AI Gateway. Use when user wants fuzzy/conceptual search where exact-keyword grep would miss — "sessions discussing regulatory constraints", "code about retry logic", "notes mentioning burnout even if the word isn't there". Complements searching-codebases (regex/AST) and extracting-keywords (YAKE). Do NOT use when an exact string/regex match is what's wanted — grep/rg wins on speed and precision…
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
# Semantic Grep jina-grep-style semantic search, done in-process via Python rather than as an external CLI. Embeds query + corpus chunks with `gemini-embedding-2`, ranks by cosine similarity, returns grep-format output. ## When Semantic Search Helps The core trade-off (lifted from `jina-grep-cli`'s own docs and validated in testing): | Task | Tool | |------|------| | Known exact string, filename, or regex | `grep` / `rg` / `searching-codebases` | | "What files discuss concept X" when X may not appear verbatim | **semantic-grep** | | Hybrid: prefilter with grep, rerank by concept | grep → `rerank_candidates()` | **Regression test result (workshop session corpus, 135 docs):** - *"handling regulatory constraints"* → top hit *"Engineering AI Systems Under Sovereignty Constraints"* (0.67). ✓ - *"sessions about GEPA"* → top hit *"Gemma, DeepMind's Family of Open Models"* (0.69). ✗ — false positive on phonetic neighbor. GEPA is mentioned verbatim in one session description; grep would find it correctly. **Rule: when the user query reads like a named entity or keyword, try grep first. Only reach for semantic-grep when paraphrase/concept matching is actually needed.** ## Setup …
Read the whole file at its exact version.
How to install
mdr add oaustegard/claude-skills/semantic-grep@sha256:8f2fa35bb5759f7bThe line at the top of this page pins the label v0.2.1, 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_vitvv47dycjuwetd)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Apr 19, 2026 and Sep 9, 2026, about one every 47 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.2.1 latest | 2026-09-09 | db4e3e1 | 8,637 B | A | view · diff |
| v0.2.0 | 2026-07-23 | a1c23db | 8,646 B | A | view · diff |
| v0.1.1 | 2026-07-22 | aae2248 | 8,646 B | A | view · diff |
| v0.1.1 | 2026-04-19 | 005ebaf | 8,309 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 (8637 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
oaustegard/claude-skills · 158 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vitvv47dycjuwetd GET https://markdownregistry.com/api/v1/resolve?ref=oaustegard/claude-skills/semantic-grep GET https://markdownregistry.com/api/v1/blob/8f2fa35bb5759f7bc270836e3bde7ad86ab65af5dd5aa24f4bb9320b32ff1be4
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.
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