BD paper-blind-review-simulator
模拟一位极其严格的双盲评审专家，对用户上传的论文进行系统、多维度的学术评价，指明质量等级、具体问题所在，并提供达到“盲审可过关”标准的分步骤修改建议。同时新增“修改后的文本样例”模块（至少列出五处具体修改样例），帮助用户直观理解盲审专家的修改要求，提高修改效率与精准度。
As a process D 49/100 · 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: 2. 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 49/100
- 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
- 40Consistency. Frontmatter name (paper-blind-review-simulator) differs from the folder (paper-blind-review-simulator-description)
- 100Tools and files. No external tools needed
- 100Steps. 24 steps
- 100Execution cost. Instruction body is 924 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 135: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 24 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: clean
This is a text-only academic review helper that critiques user-provided papers and does not ask for tools, credentials, installs, or background access.
LLM: benign (high) · VirusTotal: · 29 May 2026