jev-search skillA
jev-search is agent-read markdown (skill) from kerpopule/hermes-jev-skills: Use after any web or API search, before opening results or spending another round. Jev picks which results to read, whether the evidence is enough, and which query to run next from ones you wrote..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Searching with Jev
A research turn is usually three decisions and one piece of writing:
- which of the results to actually open (the other thirty are noise),
- whether what has been read answers the question, or another round is needed,
- which query to run next.
Those are picks and a yes/no. Jev answers them in about half a second for a fraction of a cent, and the expensive model is left to do the writing — which is the only part of this Jev cannot do. **Jev never writes a query.** You write the candidates; Jev picks one or says none of them would add anything.
`jev search` runs one round of that loop and hands back the decision. Use it instead of guessing, and instead of burning a frontier turn on "should I search again?".
## Do this
1. Search the way you always do (`web_search`, an API, a site). Give it the question, and write two to five candidate queries for the next round if this one is not enough.
2. Run one round:
```bash
echo '{"question":"what does the decision API cost",
"queries_tried":["decision model pricing"],
"candidate_queries":["typesafe pricing page","decision api rate limits","free tier"],
"round_index":1,
…Read the whole file at its exact version.
How to install
mdr add kerpopule/hermes-jev-skills/jev-search@v0.1.0mdr add kerpopule/hermes-jev-skills/jev-search@sha256:f2a72a315f6dcb79Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ui2hst2gbzzb6r3w)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-09-22 | b34aea7 | 6,013 B | A | view · diff |
| v0.1.0 | 2026-09-21 | e591816 | 5,511 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 (6013 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
kerpopule/hermes-jev-skills · 700 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ui2hst2gbzzb6r3w GET https://markdownregistry.com/api/v1/resolve?ref=kerpopule/hermes-jev-skills/jev-search GET https://markdownregistry.com/api/v1/blob/f2a72a315f6dcb792d4457dcec7d64033f5b0cd06b3b2c732932bdeecbeb1b16
Your agent 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.