Borrowing it
Nothing to install: this file belongs to Genefold/arrowspace-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Genefold/arrowspace-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/Genefold/arrowspace-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/genefold/arrowspace-skills/agents-md)<a href="https://agentmods.dev/instructions/genefold/arrowspace-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/genefold/arrowspace-skills/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/genefold/arrowspace-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/genefold/arrowspace-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00515 | $0.00515 |
| Opus 5.5 | $0.00206 | $0.00206 |
| Sonnet 5.5 | $0.00103 | $0.00103 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
arrowspace-skills AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
ArrowSpace Skills — Agent Context
This repository contains portable skill definitions for the ArrowSpace spectral vector search library.
Key facts
- ArrowSpace is a vector database with spectral (graph Laplacian) awareness
- Target version: arrowspace-rs 0.30.0 / pyarrowspace 0.30.0 (tau is an alpha-beta blend weight; builder defaults eps=0.5, k=12, topk=6)
- Rust core:
arrowspace-rsat github.com/tuned-org-uk/arrowspace-rs - Python bindings:
pyarrowspaceat github.com/tuned-org-uk/pyarrowspace, pip-installable asarrowspace - JOSS paper: doi:10.21105/joss.09002
- Author: Lorenzo Moriondo (Mec-iS) — ArrowSpace creator, Genefold AI founder
Repo structure
SKILL.md # opencode skill registration
skills/ # Portable skill definitions (any agent)
arrowspace-core.md # Building an ArrowSpace index
arrowspace-search.md # Querying with λτ scoring
arrowspace-spectral.md # Spectral analysis and diagnostics
scripts/ # Supporting Python scripts (builder, search, spectral helpers)
Common operations
uv pip install "arrowspace>=0.30.0"to install the Python bindingsArrowSpaceBuilder().build(params, items)to create an indexaspace.search(query, gl, tau)to query- Use the helpers in
skills/scripts/for parameter suggestion and tau tuning - Use
arrowspace_tunerfor base graph parameters: tune a representative sample of up to 10,000 items with seed 3407, then build the final index with the returned parameters and the full corpus.
Links
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago Changed · +17 tokens per session 44a1ca6e5ad8
- 1mo ago Changed · +1 lines · +79 tokens per session e119f2dc0776
- 1mo ago First seen · 37 lines · 419 tokens per session scan A 5add3854734c
arrowspace-skills AGENTS.md is an instructions file published in the GitHub repository Genefold/arrowspace-skills (2 stars, last pushed 8d ago), licensed Apache-2.0. It adds 515 tokens to every session, about $0.0021 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).