BC openclaw-ceo-review
CEO-perspective plan review and strategy upgrader supporting four modes: expansion/selective expansion/hold scope/scope reduction. Automatically outputs premise challenges, alternatives, failure mode mapping, and observability checklists to enable high-quality strategic review before development. 中文：CEO视角的计划审查与战略升级器，支持扩张/选择性扩张/守住范围/精简范围四种模式。自动输出前提挑战、替代方案、失败模式映射、观测清单，帮助在开发前做高质量战略复核。 日本語：CEO視点の計画監査・戦略アップグレードエージェント。拡張/選択的拡張/スコープ維持/縮小の4モードで検証、代替案、失敗モード、観測性を生成し、実装前に経営判断を強化。 한국어：CEO 관점의 계획 검토 및 전략 업그레이드 에이전트. 확장/선택적 확장/스코프 유지/범위 축소 4모드로 전술하며 전제 검증, 대안, 실패 모드 매핑, 모니터링 체크리스트를 생성해 실행 전 전략을 정교화. Español：Revisión estratégica con enfoque CEO. Optimiza planes con 4 modos (expansión, expansión selectiva, mantener alcance, reducir alcance), genera chequeo de supuestos, alternativas, mapa de fallos y lista de observabilidad para validar decisiones.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Tools and files. No external tools needed
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 874 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 844: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 20 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.