quarry-recall skillA
quarry-recall is agent-read markdown (skill) from punt-labs/quarry: Retrieve what quarry already knows before researching from scratch or guessing. Covers three overlapping intents, one tool: understand code ("how does X work", "where is X defined", "what calls X"); recall project knowledge or a decision ("what did we decide about X", "why is it this way", "did we consider Y instead"); and recall memory, yours or a teammate's ("what did I learn about X", "any gotchas with X", "have we hit this before"). Backed by `quarry find`, which fuses vector similarity and .
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
# Quarry Recall
`quarry find` answers "has anyone already figured this out." Reach for it
before spending a WebSearch/WebFetch call, and before answering a
why/how/what-did-we-decide question from memory alone.
## Recognize the trigger
- **Understand code.** "How does X work", "where is X defined", "what calls
X", "explain this module."
- **Recall project knowledge.** "What did we decide about X", "why is it
built this way", "did we already try Y."
- **Recall memory.** "What did I learn about X", "any gotchas here", "has a
teammate hit this before."
All three are the same tool with different scope — pick the flags, not a
different command.
## Run it
```sh
quarry find "<natural-language question>"
```
Natural language beats keywords ("what did we decide about retry limits"
outperforms "retry limits"). Confirm the exact flag set with `quarry find
--help` before relying on one not shown here — flags are the live contract,
this skill is not.
Scope the search to match the intent:
- Everything indexed: `quarry find "query"` (no scope flags).
- Only your own memories: `quarry find "query" --agent-handle <your-handle>`.
…Read the whole file at its exact version.
How to install
mdr add punt-labs/quarry/quarry-recall@git:20260921.5e31962mdr add punt-labs/quarry/quarry-recall@sha256:5a49989051827f8dPin 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_37k374bjh5svnslo)
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Versions
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 (4247 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
punt-labs/quarry · 5 stars · license MIT · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_37k374bjh5svnslo GET https://markdownregistry.com/api/v1/resolve?ref=punt-labs/quarry/quarry-recall GET https://markdownregistry.com/api/v1/blob/5a49989051827f8d3b3eeaae137b0f0abf7ac4e276ca1ea656e09b05ab8f50f2
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.