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 specstoryai · Codex Skill · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is getspecstory safe to install? View the security audit →
Intent is the new source code Turn your AI development conversations into searchable, shareable knowledge. Never lose a brilliant solution, code snippet, or architectural decision again. SpecStory captures, indexes, and makes searchable every interaction you have with AI coding assistants across all your projects and tools. Install SpecStory ──▶ Contribute to OSS ──▶ <a href="htt
| Stars | 1,337 |
| Forks | 89 |
| Language | Go |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 65.7277012082562/100 |
| Open Issues | 54 |
| Last Updated | 2026-09-23 |
| Created | 2024-12-13 |
| Platforms | claude-code, cli, codex, go, vscode |
| Est. Tokens | ~18k |
These tools work well together with getspecstory for enhanced workflows:
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getspecstory is Install our local first extensions for your favorite AI IDE or Terminal Agent. Process your histories into reusable skills with Lore. Sync your conversations to the cloud. File issues and requests.. It is categorized as a Codex Skill with 1.3k GitHub stars.
getspecstory is primarily written in Go. It covers topics such as agent-skills, ai, chat-history.
You can find installation instructions and usage details in the getspecstory GitHub repository at github.com/specstoryai/getspecstory. The project has 1.3k stars and 89 forks, indicating an active community.
getspecstory is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to getspecstory on Agent Skills Hub include copilot-mcp, ok-skills, agnix. 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: