memtomem-search 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.
memtomem-search from memtomem/memtomem is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add memtomem/memtomem/memtomem-search@git:20261002.e98f5eePins git:20261002.e98f5ee in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- memtomem/memtomem
- Path
packages/memtomem-hermes-plugin/skills/memtomem-search/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261002.e98f5ee, committed Oct 2, 2026
- Size
- 1,065 bytes
- Repository stars
- 21
- License
- Apache-2.0
Search indexed memtomem memories by topic. Use for past decisions, notes, findings, or context saved by this or another agent that shares the same memtomem store.
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
# Search memories Derive the search query from the current user request. If the request does not clearly specify the search query, ask before calling a tool — and in a non-interactive context (a subagent or scripted run with nobody to ask), do not stall and do not guess: stop and report `insufficient_input` naming the missing search query. A request that does specify the search query proceeds normally in either context. Call `mem_search` with the requested topic and use the compact output unless machine-readable details are necessary. Present the strongest matches concisely with their source path, heading, and relevance score. Explain that memtomem uses BM25 by default and adds dense retrieval only when embeddings are configured. If nothing matches, suggest a broader query or the status workflow; do not write or index anything automatically.
Read the whole file at its exact version.
How to install
mdr add memtomem/memtomem/memtomem-search@sha256:5ad93d6d0d8f2bdbThe line at the top of this page pins the label git:20261002.e98f5ee, 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_q5i6i7c5si5reqpf)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 2, 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 (1065 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
memtomem/memtomem · 21 stars · license Apache-2.0 · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_q5i6i7c5si5reqpf GET https://markdownregistry.com/api/v1/resolve?ref=memtomem/memtomem/memtomem-search GET https://markdownregistry.com/api/v1/blob/5ad93d6d0d8f2bdbb28f9ff69b1bff3c4c2f7db58fb82a7e5799707214c79f0b
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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