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chaos-engineer

Designs chaos experiments, creates failure injection frameworks, and facilitates game day exercises for distributed systems — producing runbooks, experiment manifests, rollback procedures, and post-mortem templates. Use when designing chaos experiments, implementing failure injection frameworks, or conducting game day exercises. Invoke for chaos experiments, resilience testing, blast radius control, game days, antifragile systems, fault injection, Chaos Monkey, Litmus Chaos.

74

Quality

93%

Does it follow best practices?

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SecuritybySnyk

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SKILL.md
Quality
Evals
Security

Quality

Content

92%Weight 40%Scale 1-5

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

An excellent code-skill body: executable, safety-conscious, with a clean progressive-disclosure structure pointing to a real one-level-deep reference bundle. The only trimmable content is the trigger-list duplication and the attribution footer.

DimensionReasoningScore

Conciseness

The body is dense and command-first, assuming Claude's competence with no concept explainers — nearly every token is executable content. It falls short of the lean anchor at 5 because 'When to Use This Skill' duplicates the frontmatter description's triggers and the maintainer/documentation footer adds non-operational tokens. It is above 3 since there is no real over-explanation or padding.

4 / 5

Actionability

Three complete, copy-paste-ready examples: a full Litmus ChaosEngine manifest with concrete env values (TOTAL_CHAOS_DURATION=60, PODS_AFFECTED_PERC=33), a toxiproxy CLI sequence including the toxic-remove restore step, and a Chaos Monkey config with exceptions. Bash commands for apply, monitor, and rollback are all present, covering the common cases. Not score 4 — there are no gaps in executability.

5 / 5

Workflow Clarity

The 5-step Core Workflow is clearly sequenced, the Safety Checklist enforces validation constraints (steady-state baseline first, rollback ≤30s tested before the experiment, single variable), and the Litmus example demonstrates an explicit feedback loop: verify baseline → apply → monitor → abort if steady state is violated. Validation is present for these destructive operations, so the missing-validation cap does not apply. Not score 4 — checkpoints are explicit, not just implied.

5 / 5

Progressive Disclosure

The Reference Guide table signals five real, one-level-deep reference files (all verified present in references/), each with a 'Load When' condition, while the body stays a concise overview with core worked examples inline and the bulk per-topic detail in the bundle. This matches the clear-overview, well-signaled-references anchor. Not score 4 — navigation is clear with no organization gaps.

5 / 5

Total

19

/

20

Passed

Description

92%Weight 40%Scale 1-5

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 description that explicitly states both capabilities and invocation triggers in third-person voice with concrete deliverables. The only gap is a handful of missing natural synonyms (Chaos Mesh, Gremlin, reliability testing) in the trigger list.

DimensionReasoningScore

Specificity

The description lists multiple specific concrete actions ('Designs chaos experiments, creates failure injection frameworks, and facilitates game day exercises') plus named deliverables ('runbooks, experiment manifests, rollback procedures, and post-mortem templates'), all in third-person voice. This matches the comprehensive-coverage anchor; it is not score 4 because the action list has no coverage gaps.

5 / 5

Completeness

Both questions are explicitly answered: a concrete 'what' (designs experiments, builds injection frameworks, facilitates game days, produces specific artifacts) and an explicit 'when' ('Use when designing chaos experiments, implementing failure injection frameworks, or conducting game day exercises. Invoke for…'). This matches the top anchor; score 4 would require the 'when' to be less explicit than it is.

5 / 5

Trigger Term Quality

The trigger list ('chaos experiments, resilience testing, blast radius control, game days, antifragile systems, fault injection, Chaos Monkey, Litmus Chaos') is strong, natural phrasing a user would actually say. It falls short of the comprehensive-synonym anchor at 5 because a few common natural terms are missing (Chaos Mesh, Gremlin, reliability/stress testing).

4 / 5

Distinctiveness Conflict Risk

The description carves a clear niche (chaos engineering for distributed systems) with distinctive triggers like blast radius control, game days, Chaos Monkey, and Litmus Chaos that would not naturally route to adjacent skills (sre-engineer, devops-engineer). Minimal conflict risk, matching the top anchor.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 1 missing

Warning

Total

15

/

16

Passed

Repository

Jeffallan/claude-skills

Path

skills/chaos-engineer/SKILL.md

Reviewed

Table of Contents

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