causal

Analyze cause-and-effect relationships in the Semantica knowledge graph — causal chains, interventions, counterfactuals, and causal influence scores.

Quality

85%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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Securityby

Passed

No findings from the security scan

Quality

Content

87%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is concise and highly actionable with real executable code, but it lacks explicit validation/checkpoint steps for the impact-analysis and counterfactual workflows.

Suggestions

Add a brief validation step for `intervene` and `counterfactual` (e.g., checking that the decision_id exists or that results are non-empty before summarizing) to raise workflow clarity.

Note expected return shapes / failure modes for each method call so Claude can verify outputs before reporting.

Dimension	Reasoning	Score
Conciseness	Lean body with real imports and method calls, a one-line usage line, and concise per-command Output notes — no padding explaining concepts Claude already knows.	3 / 3
Actionability	Provides executable Python with real imports and concrete CausalChainAnalyzer/AgentContext method calls, plus two usage options for the chain command.	3 / 3
Workflow Clarity	Per-command structure is clear but there are no validation/verification checkpoints for the impact and counterfactual operations, capping workflow clarity at 2.	2 / 3
Progressive Disclosure	A compact, single-purpose skill under 50 lines with well-organized command sections and no external bundle references needed.	3 / 3
	Total	11 / 12 Passed

Description

82%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, specific description naming concrete causal-analysis capabilities, but it omits any explicit trigger/when guidance, which caps the completeness dimension.

Suggestions

Add an explicit 'Use when...' clause naming user-side triggers (e.g., 'Use when analyzing cause-and-effect in the Semantica graph, tracing root causes, or evaluating interventions').

Dimension	Reasoning	Score
Specificity	Enumerates multiple concrete actions — causal chains, interventions, counterfactuals, and causal influence scores — rather than vague language.	3 / 3
Completeness	Clearly states what the skill does but lacks any explicit 'Use when...' trigger guidance, capping completeness at 2 per the guidelines.	2 / 3
Trigger Term Quality	Covers natural terms a user of the Semantica causal subsystem would say: cause-and-effect, counterfactuals, interventions, causal influence scores.	3 / 3
Distinctiveness Conflict Risk	Scoped to the Semantica knowledge graph with a clear causal-analysis niche, making conflict with unrelated skills unlikely.	3 / 3
	Total	11 / 12 Passed

Validation

100%

Warnings & errors only

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository: semantica-agi/semantica
Path: plugins/skills/causal/SKILL.md
Commit: 8406297

Reviewed: about 15 hours ago

Table of Contents

Discovery Implementation Validation

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