patterns skillA
patterns is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Browse, search, and leverage recurring analytical patterns discovered across past analyses. Use this skill when users want to see what patterns have emerged from previous work, check if a current finding matches a known pattern, search for patterns by keyword or metric, view pattern details, understand established behavioral patterns in their data, or get reminded of recurring observations at session start. This skill is especially valuable when users say things like "what patterns have we seen?.
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
# Skill: Patterns
## Purpose
Browse and search recurring patterns discovered across analyses. Patterns
are auto-extracted after each analysis archive and represent behaviors that
appear consistently in the data.
## When to Use
- User says `/patterns` or "what patterns have we seen?"
- During analysis, to check if a finding matches a known pattern
- At session start, to remind the user of established behaviors
## Invocation
`/patterns` — list patterns for the active dataset
`/patterns --global` — list patterns across all datasets
`/patterns search={term}` — search patterns by keyword
`/patterns {id}` — show full details for a specific pattern
## Instructions
### Step 0: Determine Active Dataset
Before loading patterns, identify the active dataset:
1. Read `.knowledge/active.yaml` to get the active dataset name
2. If the file doesn't exist or is empty, default to checking all datasets
3. Use this dataset name when filtering patterns and referencing dataset-specific files
This ensures you're searching patterns for the correct dataset and providing accurate context.
### Step 1: Load Patterns
1. Check if `.knowledge/analyses/_patterns.yaml` exists:
…Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/patterns@git:20260902.b370de6mdr add ai-analyst-lab/ai-analyst/patterns@sha256:c041dca530a58f96Pin 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_r73ca62wxwveoscm)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.b370de6 latest | 2026-09-02 | b370de6 | 5,556 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 5,552 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 (5556 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
ai-analyst-lab/ai-analyst · 302 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_r73ca62wxwveoscm GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/patterns GET https://markdownregistry.com/api/v1/blob/c041dca530a58f968f221fea39b89d3f42f998d36b3bda2c7627f7115f7f2b89
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