sgrep
Semantic and hybrid code and conversation search for intent-based queries. Use when exploring unfamiliar codebases, finding code by concept instead of exact text, or recalling past agent conversations about similar problems.
Why this score
This repo hosts 2 skills, so its 22 stars are split between them (about 11 each) for scoring.
Popularity score: 54/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank
Security
Scanned Oct 20, 2026 at commit d3776bc22fa1, with Cisco's open-source skill-scanner.
What its code does:
- Runs shell commands Common for dev tools. Read the commands it runs.docs/content/guides/getting-started.md:2, install.sh:97, scripts/benchmark_comparison.sh:35 and 7 more
- Runs code it builds while running (eval or exec) Harder to read ahead of time, since the code is assembled while it runs.bench/jev/modernbert_benchmark.py:94
- Makes network requestsSKILL.md, bench/jev/coderank_benchmark.py:133, bench/jev/lateon_benchmark.py:34 and 8 more
Web addresses in its code:
- huggingface.copkg/rerank/server.go:27
- api.github.cominstall.sh:80
- api.typesafe.aibench/jev/jev.go:20
These are the sites named in the code, so it's where your data could go. It isn't a complete list: code can build addresses while it runs, and a few of these may be links rather than calls. Whatever you send also goes to the AI model you use.
A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan
Alternatives
Nothing from another maker does quite the same job yet.