Specify a webhook-driven task for OpenClaw
Describe event inputs, validation, deduplication, and intended actions before integration work.
5,323,199 AI resources indexedWorking toward the world’s largest AI resource index.
Review static analysis checks for runtime optimization opportunities
--- name: review-static-speed-80c854ad49c0 description: Review static analysis checks for runtime optimization opportunities user-invocable: true disable-model-invocation: true --- Enter planning mode. Investigate static analysis runtime and find optimization opportunities. 1. Run `.\tests\test.ps1 --timing` to get the timing report. Identify the most time-consuming checks. 2. For each check, investigate the implementation for potential optimizations. Optimizations must be **internal only** — no change to output, function, or contract of the checker. 3. Consider these optimization vectors: - Should any standalone checks be batched together to reduce PowerShell overhead? - Can existing batches share a single file cache across sub-checks? - Should any checks move between batches for better cache locality? - Should any batch sub-check be broken out to standalone (if it's an outlier)? - Any other internal speedups (regex precompilation, pipeline vs loop, etc.)? 4. For each recommendation, include an analysis statement explaining why it's internal-only and doesn't change the checker's job or contract. Research the production code and static analysis deeply. Write a plan for all optimizations found. Ignore any existing plans — create a fresh one. Include in the plan a verification step - Run timing comparison (before vs after) each change. Theoretical changes have provably been hidden regressions. Validate.--- name: review-static-speed-80c854ad49c0 description: Review static analysis checks for runtime optimization opportunities user-invocable: true disable-model-invocation: true --- Enter planning mode. Investigate static analysis runtime and find optimization opportunities. 1. Run `.\tests\test.ps1 --timing` to get the timing report. Identify the most time-consuming checks. 2. For each check, investigate the implementation for potential optimizations. Optimizations must be **internal only** — no change to output, function, or contract of the checker. 3. Consider these optimization vectors: - Should any standalone checks be batched together to reduce PowerShell overhead? - Can existing batches share a single file cache across sub-checks? - Should any checks move between batches for better cache locality? - Should any batch sub-check be broken out to standalone (if it's an outlier)? - Any other internal speedups (regex precompilation, pipeline vs loop, etc.)? 4. For each recommendation, include an analysis statement explaining why it's internal-only and doesn't change the checker's job or contract. Research the production code and static analysis deeply. Write a plan for all optimizations found. Ignore any existing plans — create a fresh one. Include in the plan a verification step - Run timing comparison (before vs after) each change. Theoretical changes have provably been hidden regressions. Validate.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.