Praxist Diagnostic
Diagnose Praxist run health, artifact integrity, research-loop completeness...
Install
npx skills add sapientinc/PRAXIST --skill praxist-diagnostic -g -a claude-code -y- Repository
- sapientinc/PRAXIST5.5k
- Category
- AI and agents
- Updated
- 1mo ago
- License
- See repository
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Diagnose Praxist run health, artifact integrity, research-loop completeness, generation-scoped DIG/QD, PI/Gems/frontier/incubator consistency, peer memory freshness, diversity HHI, hardware utilization, LLM/runtime friction, task harness health, sustained low-performance causes, strongest variants/Pareto front, strong-variant lineage, and human-readable run reports. Use when the user asks an agent to investigate whether a current or historical Praxist run is healthy, why progress or performance is weak, whether artifacts or promotions are missing, whether guard or resource issues are blocking peers, to produce a detailed agent behavior analysis report, to generate an A/B/C run report, or to improve or optimize a task after diagnosis using task-directory-only parameter and prompt changes. Default diagnostics are analysis-only; explicit improvement mode may stop the selected run and edit task-level configuration/prompts, but must not modify Praxist core logic.
Praxist Diagnostic
Use this skill as a read-only expert diagnostic pass over an existing Praxist task/run. The job is to determine whether the run is healthy, whether the research loop is complete and internally consistent, whether useful evidence is being transferred correctly, whether resources or runtime systems are blocking progress, and whether weak performance has a process-level or task-harness cause.
The skill is task-agnostic. Do not encode domain-specific rules, metrics,
thresholds, paths, or project names into the diagnosis. Use the task's own
task.yaml, evaluator outputs, manifests, logs, and documented metrics to
interpret results. If a fact is not available in artifacts, label it unknown
rather than inventing a task-specific assumption.
