Diagnose live bugs and incidents that require runtime evidence from a running service using Lightrun MCP. Use when static analysis or logs cannot explain the failure mechanism, when a hypothesis must be tested against live values, timing, or control flow, or when resuming Lightrun async actions. Do not use for one-off production measurements (use lightrun-ask-prod), pull-request review, code changes, setup, or deployment.
70
76%
Does it follow best practices?
Impact
95%
6.33xAverage score across 1 eval scenario
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/lightrun-live-runtime-debugging/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill declares a runtime MCP tool dependency that will be called during runs and whose returned tool schemas/descriptions (fetched from https://app.lightrun.com/mcp) are treated as authoritative for selecting and sequencing agent actions, so remote content can directly control agent behavior.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.