recall-knowledge skillA
recall-knowledge is agent-read markdown (skill) from levnas/ccmemo: Recall knowledge base entries by meaning, not just keywords — hybrid search (lexical ripgrep + local vector embeddings + see-link graph) over `.claude/knowledge/entries/`. Use when looking for prior knowledge, decisions, pitfalls, or context that may be worded differently from the query (e.g. a Japanese query vs English identifiers, or synonyms the entry does not literally contain). Falls back to ripgrep-only when the vector index or its dependencies are absent. On-demand only — it is NOT wired .
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
# Recall Knowledge ## Goal Surface the most relevant knowledge entries for a query by meaning — bridging synonyms and cross-language wording (e.g. Japanese ↔ English identifiers) that literal keyword search misses. ## When to Use - Searching the knowledge base for prior art, decisions, pitfalls, or related context - The query may be worded differently than the entries (synonyms, JA query vs EN identifiers) - Before starting work on a topic, to pull related accumulated knowledge - NOT for per-prompt automatic injection — that stays ripgrep via the existing `userpromptsubmit_knowledge_search.sh` hook (instant, no model load) ## Summary First, Then One Entry Run the search with `--summary`: each hit shows its title, its `description` (the trigger condition — when to open it) and its typed links with the labels their authors wrote. Choose the single entry to Read from that; do not open several candidates to compare them. Details in the procedure file. ## Structure First for Multi-Hop Questions When the recall looks like it needs several hops — tracing how a decision evolved, asking how two topics connect, or mapping everything around an entry — do NOT chain …
Read the whole file at its exact version.
How to install
mdr add levnas/ccmemo/recall-knowledge@git:20260923.33efe69mdr add levnas/ccmemo/recall-knowledge@sha256:28f46c04316bd8ebPin 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_eus2xej3dq7pjwwr)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260923.33efe69 latest | 2026-09-23 | 33efe69 | 3,198 B | A | view · diff |
| git:20260726.7717424 | 2026-07-26 | 7717424 | 2,864 B | A | view · diff |
| git:20260616.605412c | 2026-06-16 | 605412c | 2,314 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 (3198 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
levnas/ccmemo · 4 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_eus2xej3dq7pjwwr GET https://markdownregistry.com/api/v1/resolve?ref=levnas/ccmemo/recall-knowledge GET https://markdownregistry.com/api/v1/blob/28f46c04316bd8ebbd81b17f5b523c1a5ec58f1c12ee8685d07a63e31d7cde12
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