Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by umputun · Agent Tool · ★ 869
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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revdiff TUI for reviewing diffs, files, and documents with inline annotations. Outputs structured annotations to stdout on quit, making it easy to pipe results into AI agents, scripts, or other tools. Built for a specific use case: reviewing code changes, plans, and documents without leaving a terminal-based AI coding session (e.g., Claude Code). Just enough UI to navigate diffs and files, annotate specific lines, and return the results to the calling process - no more, no less. Features Structured annotation output to stdout - pipe into AI agents, scripts, or other tools Full-file diff view with syntax highlighting Intra-line word-diff: highlights the specific changed words within paired add/remove lines using a brighter background overlay, off by default — enable with or toggle with Collapsed diff mode: shows final text with change markers, toggle with Word wrap mode: wr
| Stars | 869 |
| Forks | 90 |
| Language | Go |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 69.8200905006835/100 |
| Open Issues | 14 |
| Last Updated | 2026-09-16 |
| Created | 2026-04-01 |
| Platforms | claude-code, go |
| Est. Tokens | ~26k |
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revdiff is TUI for reviewing diffs, files, and documents with inline annotations. It is categorized as a Agent Tool with 869 GitHub stars.
revdiff is primarily written in Go. It covers topics such as agentic-workflow, claude-code, code-review.
You can find installation instructions and usage details in the revdiff GitHub repository at github.com/umputun/revdiff. The project has 869 stars and 90 forks, indicating an active community.
revdiff is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to revdiff on Agent Skills Hub include tuicr, pilot-shell, babysitter. 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.
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