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 samzong · Codex Skill · ★ 104
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Recall safe to install? View the security audit →
Recall Local-first search across every AI coding session on your machine. Jump between Claude Code, Codex, and whatever comes next; Recall pulls those scattered local sessions into one searchable index, tracks usage when token metadata is available, and drops you back into the original CLI. Install Support One index across every AI coding CLI. Sync once, search everywhere, resume right where you left off.
| Stars | 104 |
| Forks | 12 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.4100522859556/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-22 |
| Created | 2026-04-09 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~23k |
These tools work well together with Recall for enhanced workflows:
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Find that one coding agent session you want to get back to!
Explore other popular codex skill tools:
Recall is Switch agents. Keep the history. Local-first search across your AI coding sessions.. It is categorized as a Codex Skill with 104 GitHub stars.
Recall is primarily written in Rust. It covers topics such as ai-coding, claude-code, cli.
You can find installation instructions and usage details in the Recall GitHub repository at github.com/samzong/Recall. The project has 104 stars and 12 forks, indicating an active community.
Recall is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Recall on Agent Skills Hub include bridle, agnix, models. 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: