No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by k-kolomeitsev · Codex Skill · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is data-structure-protocol safe to install? View the security audit →
[]() []() []() Data Structure Protocol (DSP) The missing memory layer for AI-assisted development The problem Your agent re-reads the same codebase every session. DSP fixes that. Every time you start a new task, your AI coding agent spends the first 5–15 minutes "getting oriented" — scanning files, tracing imports, figuring out what depends on what. On large projects this becomes a constant tax on tokens and attention. Context is rebuilt from scratch, every single time. DSP is a graph-based long-term structural memory stored in . It gives agents a persistent, versionable map of your codebase — entities, dependencies, public APIs, and the reasons behind every connection — so they can pick up exactly where they left off. DSP is not another workflow framework. It's the persistent structural memory layer that's missing from every AI coding workflow. Install macOS / Linux: bash curl -fsSL https://
| Stars | 65 |
| Forks | 5 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 70.9478033834501/100 |
| Last Updated | 2026-08-10 |
| Created | 2026-02-20 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
These tools work well together with data-structure-protocol for enhanced workflows:
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data-structure-protocol is Graph-based long-term memory skill for AI (LLM) coding agents — faster context, fewer tokens, safer refactors. It is categorized as a Codex Skill with 65 GitHub stars.
data-structure-protocol is primarily written in Python. It covers topics such as agent-skills, ai, calude.
You can find installation instructions and usage details in the data-structure-protocol GitHub repository at github.com/k-kolomeitsev/data-structure-protocol. The project has 65 stars and 5 forks, indicating an active community.
data-structure-protocol is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to data-structure-protocol on Agent Skills Hub include awesome-ai-agent-skills, agent-skills, codex-settings. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: