quarry-recall SKILL.md skillA

quarry-recall from punt-labs/quarry is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add punt-labs/quarry/quarry-recall@git:20260921.5e31962

Pins git:20260921.5e31962 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
punt-labs/quarry
Path
plugin/skills/quarry-recall/SKILL.md
Versions recorded
1
Latest version
git:20260921.5e31962, committed Sep 21, 2026
Size
4,247 bytes
Repository stars
7
License
MIT

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…

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

# 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

The exact contents, by fingerprint
mdr add punt-labs/quarry/quarry-recall@sha256:5a49989051827f8d

The line at the top of this page pins the label git:20260921.5e31962, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_37k374bjh5svnslo.svg)](https://markdownregistry.com/a/art_37k374bjh5svnslo)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 21, 2026.

versioncommittedcommitsizeaudit
git:20260921.5e31962 latest2026-09-21 5e31962 4,247 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • 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

GitHub

punt-labs/quarry · 7 stars · license MIT · pushed 2026-11-05 · 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 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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Every file in punt-labs/quarry

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