CtrlK
BlogDocsLog inGet started
Tessl Logo

explain

Explain Semantica reasoning, decision logic, and graph results with traceability, causal context, and human-readable rationale.

64

Quality

76%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/skills/explain/SKILL.md
SKILL.md
Quality
Evals
Security

/semantica:explain

Produce explanations for decisions, rules, and graph analytics. Usage: /semantica:explain <target> [args]

$ARGUMENTS = explanation target + optional detail level.


decision <decision_id> [--detail <level>]

Explain why a decision was reached.

from semantica.reasoning.explanation_generator import ExplanationGenerator

# For decision explainability in Semantica contexts:
decision_trace = ctx.trace_decision_explainability(decision_id=decision_id)

# For reasoning/proof explanations:
generator = ExplanationGenerator(detail_level=detail)
explanation = generator.generate_explanation(reasoning_result)

Output: decision factors, rule traces, confidence, and suggested next steps.


graph <node_id> [--path N]

Explain graph relationships and why a node is connected.

# Use AgentContext explainability + causal tracing for graph-connected decisions
graph_explanation = ctx.trace_decision_explainability(decision_id=node_id)
upstream = ctx.get_causal_chain(decision_id=node_id, direction="upstream", max_depth=depth)
downstream = ctx.get_causal_chain(decision_id=node_id, direction="downstream", max_depth=depth)

Return: cause/effect chains, supporting evidence, and relevant metadata.

Repository
semantica-agi/semantica
Last updated
First committed

Is this your skill?

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.