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 subinium · Codex Skill · ★ 152
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agf safe to install? View the security audit →
agf Find the AI coding session you meant to resume. is a local-first fuzzy finder for AI coding-agent sessions. Search local sessions across Claude Code, Codex, Gemini CLI, Cursor CLI, OpenCode, Kiro, pi, and Hermes — then resume the right one in a keystroke. Install Requires a Rust toolchain ( recommended). Prebuilt binaries for macOS, Linux, and Windows are also available on the Releases page. Quick Resume (no TUI) Why agf? AI coding agents are great at keeping context — until you lose the terminal. You switch projects, close a tab, forget the session ID, or resume the wrong agent. Then you either dig through history files or start over. gives you one searchable list of local agent sessions and resumes the right one. Supported agents reads the session files each agen
| Stars | 152 |
| Forks | 19 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.6409227723437/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-19 |
| Created | 2026-02-17 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~24k |
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agf is Find, search, and resume AI coding-agent sessions across Claude Code, Codex, Grok Build, Kimi Code, Qwen Code, Gemini, Cursor, and more.. It is categorized as a Codex Skill with 152 GitHub stars.
agf is primarily written in Rust. It covers topics such as agentic-workflow, ai-agents, ai-coding.
You can find installation instructions and usage details in the agf GitHub repository at github.com/subinium/agf. The project has 152 stars and 19 forks, indicating an active community.
agf is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agf on Agent Skills Hub include pixtuoid, toktrack, claude-code-rust. 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: