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antithesis-research

Analyze a codebase to figure out how it should be tested with Antithesis: map the system, identify failure-prone areas and testable properties, and produce the research artifacts needed for workload and environment planning.

69

Quality

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Risky

Do not use without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

The content is a well-structured, highly actionable orchestration skill with clear sequenced workflows, validation feedback loops, and clean one-level reference navigation. Its only meaningful gap is mild redundancy between the Purpose, Output, and Self-Review sections.

Suggestions

Consolidate the artifact list so Purpose, Output, and Self-Review do not each re-enumerate the same scratchbook files; reference the canonical list once.

Trim Definitions of broadly-known terms (SUT, Workload, Timeline) and keep only Antithesis-specific definitions (Test Template, Test Command prefixes, Sometimes/Reachable semantics).

DimensionReasoningScore

Conciseness

The body is mostly efficient and skill-specific (exact artifact paths, valid command prefixes, assertion macro names), but the Output list and the long Self-Review criteria repeat material already stated in Purpose and workflows, and a few Definitions restate broadly-known terms — it could be tightened.

2 / 3

Actionability

Gives fully concrete, executable guidance: numbered workflows with exact file paths, a grep step targeting specific assertion macros (assert_always!, assert_sometimes!, assert_reachable!, assert_unreachable!), enumerated valid Test Command prefixes, and concrete output artifacts.

3 / 3

Workflow Clarity

Three clearly sequenced workflows with prerequisites and explicit validation feedback loops (property-evaluation followed by "apply refinements, fill gaps, escalate biases") plus a comprehensive Self-Review checklist of checkpoints.

3 / 3

Progressive Disclosure

A clear Reference Files table maps each references/*.md to "When to read"; all referenced files exist and are one level deep, well-signaled throughout the workflows, keeping the SKILL.md an overview rather than a monolith.

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.

The description is specific and distinct, clearly conveying the skill's Antithesis research role with natural trigger vocabulary. Its main weakness is the absence of an explicit "Use when..." clause, leaving the trigger moment implicit.

Suggestions

Add an explicit "Use when..." clause, e.g. "Use when the user wants to plan Antithesis testing for a codebase or asks about testable properties, failure-prone areas, or research artifacts for Antithesis."

Mirror common user phrasings such as "figure out what to test with Antithesis" or "find properties to test" to strengthen natural triggers.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "map the system, identify failure-prone areas and testable properties, and produce the research artifacts needed for workload and environment planning" — matching the multiple-specific-actions anchor.

3 / 3

Completeness

Clearly answers "what" with concrete actions, but lacks an explicit "Use when..." trigger clause; the "how it should be tested with Antithesis" phrasing is a what, not a when, so per the guidelines it caps at 2.

2 / 3

Trigger Term Quality

Covers natural domain terms a user would say — "Antithesis", "tested", "failure-prone areas", "testable properties", "workload", "environment planning" — giving good coverage of the niche's vocabulary.

3 / 3

Distinctiveness Conflict Risk

The Antithesis-specific research niche (map the system, find testable properties, produce research artifacts) is clearly distinct and unlikely to trigger for unrelated skills.

3 / 3

Total

11

/

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
antithesishq/antithesis-skills
Reviewed

Table of Contents

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