BD weekly-review
面向任意 AI Agent 自动复盘的 Skill（weekly-review / 复盘 / 提示词优化 / 会话清理）。 核心能力覆盖：AI 用量与时间看板、提示词复盘与改写建议、高效/低效归因、 时间分布与 Token/归因趋势图、开放会话对齐清理、定时自动周报。 当用户任务涉及周度复盘、用量查看、提示词改进时使用，包括但不限于： Token 花了多少、提示词优化改进、一周总结、工作复盘、复盘可视化报告、 清理对话、AI 自动复盘。
面向任意 AI Agent 自动复盘的 Skill（weekly-review / 复盘 / 提示词优化 / 会话清理）。 核心能力覆盖：AI 用量与时间看板、提示词复盘与改写建议、高效/低效归因、 时间分布与 Token/归因趋势图、开放会话对齐清理、定时自动周报。…
As a process D 46/100 · Unfinished process — 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: 12. 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") - note
frontmatter-keyunknown frontmatter key "read_when"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 271 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 220: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.