- Home
- Skills
- Testing & Debugging
- Repair LLM Context Window Truncation
More screenshots
Works with the AI Agents you already use
Repair LLM Context Window Truncation
Identify silent loss of decisive user instructions or citations caused by prompt-budget truncation.
$1
About this skill
Identify silent loss of decisive user instructions or citations caused by prompt-budget truncation.
What it checks:
- measure allocation per message role
- reconstruct dropped spans
- implement priority-aware compaction
- test injection boundaries and citation survival
Deliverables:
- budget trace
- compaction patch
- regression cases
Typical case: A support agent drops the return window policy from the earliest message after a long RAG response.
Runtime: Cursor Skill
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Testing & Debugging.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill goes through the trust checks below.
Security scanned
Checked by our 8-point scan before listing
Fresh listing
Recently published to Agensi
Money-back guarantee
Doesn't do what its page promises? You get your money back.
Trust & safety
Security scan
Security scan passed 1 month ago
Permissions
No special permissions declared or detected