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setup-skill-performance

Generate eval scenarios from a Tessl plugin (a packaged skill bundle), run baseline + with-context evals, and present results. Use when setting up an evaluation pipeline, running benchmarks, generating test scenarios, measuring skill performance or accuracy, scoring how well a skill helps agents solve tasks, or evaluating skill effectiveness before publishing.

89

1.14x
Quality

92%

Does it follow best practices?

Impact

89%

1.14x

Average score across 29 eval scenarios

SecuritybySnyk

Low

Low-risk findings worth noting

The canonical home for this skill is tessl/skill-optimizer

SKILL.md
Quality
Evals
Security

Quality

Content

85%Scale 1-3

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-structured orchestration skill that excels at workflow clarity and progressive disclosure. The phase-based organization with a scope selection mechanism is effective, and the run label guidance with examples is practical. The main weakness is that actionability depends heavily on the referenced files — the SKILL.md itself contains no executable commands, so if the references were missing or incomplete, Claude would lack concrete procedures.

Suggestions

Consider adding at least one key command example inline (e.g., the basic `tessl eval run --label <label>` invocation) so the skill has some executable guidance even without loading reference files.

DimensionReasoningScore

Conciseness

The skill is lean and well-structured. It doesn't explain concepts Claude already knows, avoids unnecessary padding, and every section serves a clear purpose. The run label examples and time expectations are practical additions that earn their tokens.

3 / 3

Actionability

The skill provides good structural guidance (phase ordering, scope selection table, run label conventions with examples) but delegates all concrete commands and procedures to reference files. The SKILL.md itself contains no executable commands or code — the actionability depends entirely on the referenced files which are not provided.

2 / 3

Workflow Clarity

The multi-step workflow is clearly sequenced with numbered phases, a scope-to-phase mapping table, explicit ordering rules (e.g., 4a before 4b for multi-skill plugins), and clear stopping conditions. The activation check serves as a validation checkpoint before content evals, and Phase 3 includes quality-check steps for rubric anti-patterns.

3 / 3

Progressive Disclosure

Excellent progressive disclosure — the SKILL.md serves as a clear overview with well-signaled one-level-deep references to phase-specific files (e.g., references/phase1-gather-context.md through phase6-next-steps.md). Each phase has a brief summary of what it does before pointing to the detailed reference, and the instruction to skip loading reference files for out-of-scope phases is a thoughtful touch.

3 / 3

Total

11

/

12

Passed

Description

100%Scale 1-3

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 strong description that clearly articulates specific capabilities, provides explicit trigger guidance with a comprehensive 'Use when' clause, and uses domain-specific terminology that makes it highly distinguishable. It follows third-person voice correctly and covers both what the skill does and when it should be selected.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'Generate eval scenarios from a Tessl plugin', 'run baseline + with-context evals', and 'present results'. These are clear, actionable capabilities.

3 / 3

Completeness

Clearly answers both what ('Generate eval scenarios from a Tessl plugin, run baseline + with-context evals, and present results') and when ('Use when setting up an evaluation pipeline, running benchmarks, generating test scenarios, measuring skill performance or accuracy, scoring how well a skill helps agents solve tasks, or evaluating skill effectiveness before publishing').

3 / 3

Trigger Term Quality

Includes strong natural trigger terms: 'evaluation pipeline', 'benchmarks', 'test scenarios', 'skill performance', 'accuracy', 'scoring', 'evaluating skill effectiveness', 'publishing'. Good coverage of terms users would naturally use.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with domain-specific terms like 'Tessl plugin', 'packaged skill bundle', 'baseline + with-context evals', and 'skill effectiveness before publishing'. Unlikely to conflict with generic testing or evaluation skills due to the specific Tessl context.

3 / 3

Total

12

/

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
tesslio/product-plugins
Reviewed

Table of Contents

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.