AC interactive-document-writing
通过全交互式问答对话，逐章节完成长文档的创建、编写和审计。适用于白皮书、方案书、用户手册、分析报告等需要深度共创的文档。 当用户提到"交互式写文档"、"一起写白皮书"、"逐章讨论"、"Step by Step写文档"、"帮我写方案书/报告/手册"， 或者用户想通过问答方式完成任何长文档编写时，使用此技能。即使用户只是说"写一篇XX文档"，只要文档预计超过3个章节，也应考虑使用此技能。 用户说"继续写文档"、"接着上次的文档"时也应触发此技能以走断点恢复流程。
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.
For the model run — optional
- 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: 3. 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. 81 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1788 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
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
- +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
- +5Description quotes 6 example trigger phrases
- +3Description length 231: enough signal without eating the budget
- +4Structure: 37 headings
- +3Step-by-step instructions: 81 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.
External checks
ClawHub: clean
This is a disclosed Chinese-language workflow for collaboratively writing long documents; it can read and edit project documents and keep a local progress file, but I found no hidden code, credentials, network use, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026