BD research-assistant
AI科研全流程助理。覆盖文献检索→文献阅读→文献综述→研究选题→研究设计→数据分析→ 论文写作→润色校对→引用管理→投稿选刊→基金申请→学术汇报12大模块。输入研究方向/ 问题/论文/数据，自动生成交互式HTML可视化报告。面向硕博研究生、高校教师、科研人员， 一站式解决从idea到publication的全链路效率瓶颈。触发词：科研助手、学术助理、 文献综述、论文写作、研究设计、科研分析、投稿选刊、基金申请、学术汇报、 research assistant、literature review。
As a process D 46/100 · 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: 8. 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 "trigger_words" - note
frontmatter-keyunknown frontmatter key "agent_created"
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
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 237 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1901 tokens
- 100Running it twice. No mutating operations
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
- -4Absolute local paths (C:\Users, /home/…): not portable
- -218 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 250: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 237 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.
External checks
ClawHub: clean
This research-assistant skill is coherent and purpose-aligned, with disclosed report generation and web-search-based academic workflows, but users should be aware it can write an HTML report file and may activate on broad academic phrases.
LLM: benign (high) · VirusTotal: · 24 Jun 2026