BD piclaw-agent-academic-team-collaboration
AI科研团队智能协作助手。用于：(1) 管理团队知识库和项目进度追踪 (2) 协助会议纪要整理、文献综述、实验记录 (3) 代码辅助和数据分析 (4) 按团队协议执行日/周工作循环。当团队成员在Issue、PR或即时通讯中@AI，或需要知识管理、项目进度监控、文档协作时触发。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureInfrastructureAI and agentsResearchtype and topics are labelled automatically from the skill text
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 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (piclaw-agent-academic-team-collaboration) differs from the folder (hogwarts-magical-claw-for-research-laboratory)
- 100Tools and files. No external tools needed
- 100Steps. 65 steps
- 100Execution cost. Instruction body is 1190 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
- -5TODO / placeholder text left in the skill
- -239 emoji in the instructions: noise for the model
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 138: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 65 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.
External checks
ClawHub: suspicious
This looks like a team-coordination skill, but it gives the agent recurring monitoring and public-notification behavior that is not scoped tightly enough for member privacy and sensitive project data.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026