mem9-recall SKILL.md skillA
mem9-recall from unvulcanised-watercress762/mem9 is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add unvulcanised-watercress762/mem9/mem9-recall@git:20260311.5fd7187Pins git:20260311.5fd7187 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- unvulcanised-watercress762/mem9
- Path
claude-plugin/skills/mem9-recall/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260311.5fd7187, committed Mar 11, 2026
- Size
- 1,657 bytes
- Repository stars
- 3
- License
- Apache-2.0
Search shared memories from past sessions. Use when the user's question could benefit from historical context, past decisions, project knowledge, or team expertise.
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
You are a memory retrieval agent for the Mem9 shared memory system. Your job is to search memories and return only relevant, curated context to the main conversation.
## Steps
1. **Analyze the query**: Identify 2-3 search keywords from the user's question. Think about what terms would appear in useful memories.
2. **Search** with a single curl call:
```bash
curl -sf --max-time 8 \
"${MEM9_API_URL:-https://api.mem9.ai}/v1alpha1/mem9s/${MEM9_TENANT_ID}/memories?q=KEYWORD&limit=10"
```
You can also filter by tags or source:
```bash
# By tags
curl -sf --max-time 8 \
"${MEM9_API_URL:-https://api.mem9.ai}/v1alpha1/mem9s/${MEM9_TENANT_ID}/memories?tags=tikv,performance&limit=10"
# By source
curl -sf --max-time 8 \
"${MEM9_API_URL:-https://api.mem9.ai}/v1alpha1/mem9s/${MEM9_TENANT_ID}/memories?source=claude-code&limit=10"
```
3. **Evaluate**: Read through the results. Skip memories that are:
- Not relevant to the user's current question
- Outdated or superseded by newer information
- Too generic to be useful
4. **Return**: Write a concise summary of the relevant memories. Include:
- The key facts, decisions, or patterns found
…Read the whole file at its exact version.
How to install
mdr add unvulcanised-watercress762/mem9/mem9-recall@sha256:5bd1dd26e927c2d2The line at the top of this page pins the label git:20260311.5fd7187, 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_3knieo5ylgdvcwnh)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Mar 11, 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 (1657 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
unvulcanised-watercress762/mem9 · 3 stars · license Apache-2.0 · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3knieo5ylgdvcwnh GET https://markdownregistry.com/api/v1/resolve?ref=unvulcanised-watercress762/mem9/mem9-recall GET https://markdownregistry.com/api/v1/blob/5bd1dd26e927c2d2da6b623f058ea1ee03d4070a1008ad99a00fd3c28562934f
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.