ctx-compressIntelligently compress context — conversations, code, logs. Preserve key information while reducing token usage. Auto-detects content type and applies optima...
Install via ClawdBot CLI:
clawdbot install besty0121/ctx-compressGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
/var/log/Calls external URL not in known-safe list
https://flask.palletsprojects.comAI Analysis
The skill appears to perform local text compression/analysis operations using Python scripts without evidence of external data transmission. However, the skill definition mentions 'RULE-BASED SIGNALS FOUND' with suspicious permission detection, suggesting it may analyze system paths, which could be privacy-invasive if processing sensitive local files. No credential harvesting or obfuscation patterns are visible in the provided definition.
Audited Apr 16, 2026 · audit v1.0
Generated May 12, 2026
A customer support team uses the compressor to summarize lengthy chat logs. The tool extracts decisions, issues, and fixes, enabling agents to quickly grasp the conversation history without reading through full transcripts.
Developers compress verbose debug session logs (e.g., from 20 trial-and-error rounds) into a concise summary that highlights errors, warnings, and key events. This speeds up root cause analysis and code fixes.
Before a code review, the compressor reduces a large source file by removing noise like blank lines and comments. The reviewer gets a compact version focusing on logic, making the review process faster.
An AI agent chains multiple files from a previous session (notes, code, chat) into a dense summary. This summary is injected into a new session to preserve context without token overflow.
Teams compress lengthy meeting transcripts into decision-oriented summaries. The tool identifies key decisions, action items, and issues, saving time for participants who missed the meeting.
Offer a free tier with limited monthly compression (e.g., 1MB of text) and paid plans for higher volumes and additional features like chain compression or extraction.
Provide a REST API for context compression that developers integrate into their applications, charging per API call or monthly subscription based on usage.
Sell a package to enterprises for on-premises deployment, including custom integration, compliance support, and priority updates. Pricing based on number of users or deployment scale.
💬 Integration Tip
To integrate, call the Python script via CLI from your application. Use piping for streaming text and capture output for further processing.
Scored Jun 19, 2026
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