Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by vincentkoc · Codex Skill · ★ 169
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🔒 Is slacrawl safe to install? View the security audit →
💾 slacrawl A Go-based CLI for mirroring Slack workspace data into local SQLite for search, querying, and offline inspection. Why slacrawl? Slack search is convenient until you need your own workflow, your own retention, or your own queries. is a Go-based CLI that pulls Slack workspace metadata and message history into SQLite so you can inspect it without depending on the Slack UI. Data stays on your machine. You can run it in API mode, desktop mode, or a hybrid workflow that combines both. That covers one-shot syncs, live tailing over Socket Mode, and local desktop recovery or "wiretap" style inspection from Slack Desktop artifacts already on your machine. Included local SQLite storage with full-text search backed by SQLite FTS5 workspace, channel, user, and message sync thread reply backfill when a user token is available incremental API history sync by default, with reserved for deliberate backfills mention e
| Stars | 169 |
| Forks | 14 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 76.8642000009446/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-16 |
| Created | 2026-03-07 |
| Platforms | cli, go |
| Est. Tokens | ~28k |
These tools work well together with slacrawl for enhanced workflows:
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slacrawl is cli terminal app for slack with sqlite backend. It is categorized as a Codex Skill with 169 GitHub stars.
slacrawl is primarily written in Go. It covers topics such as cli, openclaw, slack.
You can find installation instructions and usage details in the slacrawl GitHub repository at github.com/vincentkoc/slacrawl. The project has 169 stars and 14 forks, indicating an active community.
slacrawl is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to slacrawl on Agent Skills Hub include slacrawl, slackcli, hcom. 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: