Content
92%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-engineered skill body: verified copy-paste commands, three sequenced workflows with explicit blast-radius/abort validation gates, clean one-level progressive disclosure into real reference files, and punchy anti-patterns. The only weakness is minor redundancy between the principles recap and the anti-patterns list, which keeps conciseness at 4.
Suggestions
Dedupe the staging/dev failure-mode point: it appears in Core principle 3 and twice in Anti-patterns ('Chaos in staging only', 'Chaos in dev') — state it once and let the anti-patterns reference it.
Trim or compress the '4 Principles of Chaos Engineering (Netflix, 2016)' recap, since Claude already knows these; keep the fifth principle (abort criteria) and the operational spin, which is the skill's actual value-add.
'One-off chaos is a press release' appears in both Core principle 4 and the Anti-patterns section; keep it only in Anti-patterns.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and actionable (tables, one-line anti-patterns, exact commands), but has minor trimmable spots matching the score-4 anchor: the "4 Principles of Chaos Engineering (Netflix, 2016)" recap restates widely known material, and points repeat across sections — "staging never has the same failure modes" appears in Core principle and again as "Chaos in staging only"/"Chaos in dev" in Anti-patterns, and "One-off chaos is a press release" appears at both "Automate experiments to run continuously" and the Anti-patterns list. Not 5 because of this redundancy; well above 3 since nearly every section carries non-obvious, skill-specific content. | 4 / 5 |
Actionability | Fully executable guidance: the Quick start and per-tool sections give copy-paste commands (e.g., `python scripts/experiment_designer.py --target "checkout-svc" --hypothesis ... --abort-if "p99 > 1000ms OR error_rate > baseline + 1pp"`) whose flags all match the actual argparse definitions in the shipped scripts (verified). Decision rules ("k8s-only stack + OSS → Chaos Mesh or Litmus"), the attack-to-hypothesis mapping ("'What happens if X is slow?' → latency"), and enumerated outputs ("Risk score: GREEN / YELLOW / RED", "GREEN = <1% error budget; YELLOW = 1-10%; RED = >10%") cover the common cases, matching the score-5 anchor. | 5 / 5 |
Workflow Clarity | Workflow 1 is a clear 10-step sequence with explicit validation checkpoints and a recovery loop: "Run blast_radius_calculator.py — confirm GREEN before proceeding", "Get a peer review of the plan; confirm abort criteria are concrete", and "If abort criteria are hit, abort immediately; record what happened". Because these are destructive/risky production operations, validation is required — and it is present, so the cap at 3 does not apply. This matches the score-5 anchor (validate → abort/record → postmortem feedback loop); Workflows 2 and 3 are likewise fully sequenced. | 5 / 5 |
Progressive Disclosure | Clear overview with well-signaled one-level-deep references that all exist in the bundle: inline content is a condensed attack table and tooling table, each deferring to "references/attack_taxonomy.md for full detail" and "references/tooling_landscape.md for trade-offs", the References section lists all four files with one-line descriptions, and Asset templates names the two existing assets. No nested references, no orphaned paths — matching the score-5 anchor. | 5 / 5 |
Total | 19 / 20 Passed |