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antithesis-setup

Scaffold the Antithesis harness: initialize the working directory, write Dockerfiles and docker-compose.yaml with build directives, and prepare to submit your first Antithesis test run.

57

Quality

65%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./antithesis-setup/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

62%

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 with strong workflow clarity, clear prerequisites with stop-gates, and a thorough self-review checklist. Its main weaknesses are the lack of executable code examples in the body (delegated entirely to missing reference files) and some verbosity in the provenance verification and self-review sections that could be tightened. The progressive disclosure pattern is sound in design but cannot be fully validated without the referenced bundle files.

Suggestions

Add at least one concrete, copy-paste-ready example in the body — e.g., a minimal docker-compose.yaml snippet showing the required fields (platform, hostname, init, healthcheck, NO_COLOR) so the skill is actionable even without reference files.

Consolidate the self-review checklist with the general guidance section to reduce redundancy — many items appear in both places with slightly different wording.

Trim the provenance verification examples to two cases (e.g., full schema and absent) instead of four, since Claude can interpolate partial/disagreement cases from context.

DimensionReasoningScore

Conciseness

The skill is fairly long and includes some redundancy (e.g., the self-review checklist repeats many points from the workflow and general guidance sections). However, most content is project-specific configuration knowledge that Claude wouldn't inherently know, so it's not explaining basic concepts. Some tightening is possible — the provenance verification section is verbose with its examples.

2 / 3

Actionability

The skill provides specific file paths, tool commands (snouty validate, podman compose), and concrete configuration requirements (NO_COLOR=1, platform: linux/amd64, init: true). However, the actual executable steps are delegated to reference files (references/directory-init.md, etc.) which are not provided, and the main body contains no executable code examples or copy-paste-ready snippets — it's mostly directive prose.

2 / 3

Workflow Clarity

The workflow is clearly sequenced with explicit steps referencing specific files, prerequisites that must be verified before proceeding (research artifacts, snouty installation, provenance confirmation), validation checkpoints (snouty validate, image inspect), and a comprehensive self-review checklist. The feedback loop of checking whether later steps invalidate earlier decisions is explicitly called out.

3 / 3

Progressive Disclosure

The skill correctly delegates detailed implementation to six reference files and references other skills (antithesis-research, antithesis-workload, antithesis-launch, antithesis-documentation). However, since no bundle files are provided, we cannot verify these references exist or are well-structured. The main SKILL.md itself is quite long with the self-review checklist essentially duplicating guidance from earlier sections, suggesting some content could be better organized into references.

2 / 3

Total

9

/

12

Passed

Description

67%

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 strong in specificity and distinctiveness, clearly identifying concrete scaffolding actions for the Antithesis testing platform. Its main weaknesses are the lack of an explicit 'Use when...' clause and limited coverage of natural trigger terms users might use when seeking this skill.

Suggestions

Add a 'Use when...' clause such as 'Use when the user wants to set up or initialize an Antithesis testing harness, configure Antithesis Docker containers, or prepare their first Antithesis test submission.'

Include additional natural trigger terms like 'Antithesis setup', 'Antithesis SDK', 'fuzz testing', 'autonomous testing', or 'Antithesis configuration' to improve discoverability.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'initialize the working directory', 'write Dockerfiles and docker-compose.yaml with build directives', and 'prepare to submit your first Antithesis test run'. These are clear, actionable tasks.

3 / 3

Completeness

Clearly answers 'what does this do' with specific scaffolding actions, but lacks an explicit 'Use when...' clause or equivalent trigger guidance. The 'when' is only implied by the nature of the actions described.

2 / 3

Trigger Term Quality

Includes relevant terms like 'Antithesis', 'Dockerfiles', 'docker-compose.yaml', 'harness', and 'test run', but misses common user variations like 'fuzz testing', 'autonomous testing', 'Antithesis setup', or 'Antithesis SDK'. The term 'scaffold' is somewhat technical and may not match how users naturally phrase requests.

2 / 3

Distinctiveness Conflict Risk

Highly distinctive due to the specific mention of 'Antithesis harness' which is a niche testing platform. Unlikely to conflict with generic Docker or testing skills because of the clear Antithesis-specific context.

3 / 3

Total

10

/

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
antithesishq/antithesis-skills
Reviewed

Table of Contents

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