arrowspace SKILL.md skillA
arrowspace from sickn33/agentic-awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add sickn33/agentic-awesome-skills/arrowspace@git:20260708.a07936cPins git:20260708.a07936c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- sickn33/agentic-awesome-skills
- Path
plugins/agentic-awesome-skills-claude/skills/arrowspace/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260708.a07936c, committed Jul 8, 2026
- Size
- 3,876 bytes
- Repository stars
- 49,308
- License
- MIT
Spectral vector search using graph Laplacian eigenstructure. Use when cosine/L2 similarity misses latent structure in your embeddings.
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
# ArrowSpace
Spectral vector search that augments nearest-neighbour search with graph Laplacian features. Computes a Laplacian over the item graph and uses the Rayleigh quotient to produce a λτ (lambda-tau) score per item, enabling search that respects both semantic similarity and structural role.
## When to Use This Skill
- Cosine or L2 similarity misses latent structure in your embeddings
- You want graph-based retrieval with spectral awareness
- You need to characterise the spectral properties of an embedding space
- You are building RAG pipelines where contextual role matters alongside semantic content
## How It Works
### Step 1: Install and import
```bash
pip install arrowspace
```
```python
from arrowspace import ArrowSpaceBuilder
import numpy as np
```
### Step 2: Prepare your data
Pass an (N, d) float64 NumPy array of embedding vectors:
```python
items = np.array([[0.1, 0.2, 0.3],
[0.0, 0.5, 0.1],
[0.9, 0.1, 0.0]], dtype=np.float64)
```
### Step 3: Configure graph parameters
```python
graph_params = {"eps": 0.2, "k": 6, "topk": 3, "p": 2.0, "sigma": 1.0}
builder = ArrowSpaceBuilder(items, graph_params=graph_params)
…Read the whole file at its exact version.
How to install
mdr add sickn33/agentic-awesome-skills/arrowspace@sha256:99e90b01dec5ecfbThe line at the top of this page pins the label git:20260708.a07936c, 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_rdj3urwgi4nu7dlo)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 8, 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 (3876 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
sickn33/agentic-awesome-skills · 49,308 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rdj3urwgi4nu7dlo GET https://markdownregistry.com/api/v1/resolve?ref=sickn33/agentic-awesome-skills/arrowspace GET https://markdownregistry.com/api/v1/blob/99e90b01dec5ecfbb23690478a04d1eef734ae6b61c1388b0e2f16b2104e9711
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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