BD ai-doc-reviewer
飞书 AI 文档审查 Skill - 对技术文档进行智能审查,支持文献调研、方案推演、实验设计、对外材料四类。 接收用户提供的文档内容或公开链接,生成审查报告并创建飞书云文档。 必需交付物:1) 在对话中输出报告 2) 创建飞书审查报告文档 3) 创建或更新汇总表 触发词:AI 文档审查、飞书文档审查、审查文档、doc review
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.
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: 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 "requires_credentials" - note
frontmatter-keyunknown frontmatter key "credentials_help" - note
frontmatter-keyunknown frontmatter key "binaries" - note
frontmatter-keyunknown frontmatter key "runtime_permissions" - note
frontmatter-keyunknown frontmatter key "deliverables" - note
frontmatter-keyunknown frontmatter key "install"
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. 4 mutating operations with no state check
- 40Consistency. Frontmatter name (ai-doc-reviewer) differs from the folder (doc-review-auuu)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 73 steps
- 100Execution cost. Instruction body is 2165 tokens
- low 10 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
- +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
- -219 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 167: enough signal without eating the budget
- +4Structure: 51 headings
- +3Step-by-step instructions: 73 items
- +4Has examples (22 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.
External checks
ClawHub: suspicious
This Feishu document-review skill is coherent, but it asks for cloud document read/write authority and persistently writes reports and raw document links with limited confirmation or safety controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026