AD zentao
禅道(ZenTao) MCP大模型能力扩展包。提供跨项目的数据聚合视图、一句话生成任务、无缝报工(Log Effort)、自动状态流转等四组原生能力。
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureAI and agentsData and analyticstype and topics are labelled automatically from the skill text
How to improve
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 48/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (zentao) differs from the folder (mcp-zentao-pro)
- 100Tools and files. No external tools needed
- 100Steps. 55 steps
- 100Execution cost. Instruction body is 2491 tokens
- 100Progress reporting. Reports progress
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 75: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 17 headings
- +3Step-by-step instructions: 55 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.
External checks
ClawHub: suspicious
This ZenTao assistant is coherent for project management, but it asks for password-backed access and gives an agent broad ability to change live work records without clear confirmation safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026