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aiconfig-ai-metrics

DEPRECATED redirect — this skill was renamed to built-in-metrics. Do not use this skill; invoke built-in-metrics instead. Kept only so old references to aiconfig-ai-metrics still point users to the new name.

50

Quality

53%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Fix and improve this skill with Tessl

tessl review fix ./skills/agentcontrol/aiconfig-ai-metrics/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

This is a well-crafted deprecation redirect skill. It is maximally concise, clearly communicates the single required action (use `built-in-metrics` instead), and includes helpful migration guidance for old references. There is nothing to improve for its intended purpose.

DimensionReasoningScore

Conciseness

The content is extremely lean — it communicates the deprecation, the replacement skill name, and migration guidance in just a few lines with zero unnecessary explanation.

3 / 3

Actionability

The guidance is concrete and unambiguous: invoke `built-in-metrics` instead, and update old references from `aiconfig-ai-metrics` to `built-in-metrics`. For a redirect skill, this is fully actionable.

3 / 3

Workflow Clarity

This is a single-purpose redirect skill with no multi-step process. The single action (use the other skill) is completely unambiguous, which meets the scoring note for simple skills.

3 / 3

Progressive Disclosure

For a deprecation redirect with no bundle files, the content is appropriately minimal and self-contained. It correctly points to exactly one destination (`built-in-metrics`) with no unnecessary nesting.

3 / 3

Total

12

/

12

Passed

Description

7%

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

This is a deprecation redirect notice rather than a functional skill description. It provides no information about capabilities, triggers, or use cases, making it essentially useless for skill selection. While the redirect intent is clear, the description fails on all core evaluation dimensions because it describes no actual functionality.

Suggestions

If this skill must exist as a redirect, include a brief summary of what built-in-metrics does (e.g., 'Configures and analyzes built-in AI metrics...') so Claude can understand the domain and route correctly.

Add trigger terms that users might naturally use when looking for this capability, such as 'metrics', 'AI config', 'model evaluation', or whatever the actual domain is.

Add an explicit 'Use when...' clause that describes the scenarios, even if it ends with '...and then invoke built-in-metrics instead' to ensure proper routing.

DimensionReasoningScore

Specificity

The description contains no concrete actions or capabilities. It only states that the skill is deprecated and redirects to another skill, without describing what either skill actually does.

1 / 3

Completeness

The description answers neither 'what does this do' nor 'when should Claude use it' in any meaningful way. It only says not to use this skill and to use another one instead, without explaining what that other skill does.

1 / 3

Trigger Term Quality

The only potentially useful terms are the skill names 'aiconfig-ai-metrics' and 'built-in-metrics', but there are no natural user-facing keywords describing the domain or task. A user would never naturally say 'aiconfig-ai-metrics' when seeking help.

1 / 3

Distinctiveness Conflict Risk

The explicit 'Do not use this skill' instruction and redirect to a specific named skill provides some distinctiveness, but since no actual capabilities are described, it's unclear what domain this occupies, making conflict assessment difficult.

2 / 3

Total

5

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
launchdarkly/ai-tooling
Reviewed

Table of Contents

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