BD feasibility-review
可行性研究报告立项审查技能。自动解析用户上传的项目指南与可研报告，执行形式审查（文本规范、篇章结构、完整性、一致性）和实质审查（技术路线提取、创新点提取、专利/论文多维分析、政策分析），最终生成结构化立项审查报告，辅助科技管理人员做立项研判。
可行性研究报告立项审查技能。自动解析用户上传的项目指南与可研报告，执行形式审查（文本规范、篇章结构、完整性、一致性）和实质审查（技术路线提取、创新点提取、专利/论文多维分析、政策分析），最终生成结构化立项审查报告，辅助科技管理人员做立项研判。
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
AnalyzerSoftware developmentData and analyticsAI and agentstype 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") - note
frontmatter-keyunknown frontmatter key "copyright"
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 (python) that frontmatter does not declare
- 100Steps. 80 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2568 tokens
- 100Running it twice. No mutating operations
- low 12 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
- -227 emoji in the instructions: noise for the model
- -31 of 1 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 121: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 80 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: clean
The skill performs a disclosed feasibility-report review workflow that reads user-provided documents, searches external patent/paper/policy sources, and writes a local HTML report.
LLM: benign (high) · VirusTotal: · 13 Aug 2026