AD knot-agent-editor
用于查看和修改 Knot 平台智能体（Agent）配置的专业技能。当用户需要以下操作时使用：(1) 查看当前对话智能体的草稿配置，(2) 查看指定 agent_id 的草稿配置，(3) 搜索/列出名下有管理权限的 agent，(4) 查看 agent 可用的大模型列表，(5) 基于最新版本重新生成 agent 草稿，(6) 修改 agent 草稿的名称、描述、欢迎语、系统提示词或默认模型，(7) 将草稿发布为正式版本。触发关键词：修改智能体、编辑agent、更新system prompt、修改提示词、查看agent配置、查看指定agent草稿、发布agent草稿等。
As a process D 39/100 · 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: 11. 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 39/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (knot-agent-editor) differs from the folder (editor1)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 18 steps
- 100Execution cost. Instruction body is 667 tokens
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 286: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 8 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.