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lightrun-error-remediation-automation

Guide deterministic runtime investigations in environments using Lightrun MCP tools, with preflight gating, recovery/resume rules, evidence-first diagnosis, PR-first fix proposal delivery, and local source-code fallback only when PR creation is not possible.

67

1.00x
Quality

72%

Does it follow best practices?

Impact

28%

1.00x

Average score across 1 eval scenario

SecuritybySnyk

Advisory

Suggest reviewing before use

Fix and improve this skill with Tessl

tessl review fix ./skills/lightrun-error-remediation-automation/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

28%

Resume Investigation: Session Service Memory Leak

Runtime action result gate and cleanup on investigation resume

Criteria
Baseline
With context

Single status check — no polling

100%

100%

Pending result gate honored

0%

0%

No final diagnosis while pending

0%

0%

No fix delivered while pending

0%

0%

Active action retained

0%

0%

Ruled-out action cancelled

100%

100%

Cleanup summary present

100%

100%

No substitute evidence accepted

0%

0%

Reproduction trigger instructions

0%

0%

Active action persisted for next run

0%

0%

No leading-hypothesis action cancelled prematurely

0%

0%

Repository
lightrun-platform/lightrun-ai
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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