AB paper-results-reverse-engineer
心理学论文 Results 反向拆解技能 v3.0.4 稳定版。采用三轴分类（文章类型 × 领域 × 数据模态）、研究画像优先工作流、A–I 九分支自适应架构，覆盖实验、问卷、RCT、心理测量、元分析、神经影像坐标元分析、质性研究（主题分析、IPA、扎根理论、建构主义扎根理论）及方法学模拟等各类研究设计。默认输出为标准模式，可选 Module H Writer Transfer Packet 联动 academic-results-writer。
As a process B 79/100 · Nearly there — weak spots: running it twice
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 20. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5760 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 79/100
- 30Running it twice. 3 mutating operations with no state check
- 60Tools and files. Uses tools (read) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5760 tokens
- 100Steps. 28 steps
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 18 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)
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +3Description length 225: enough signal without eating the budget
- +4Structure: 36 headings
- +3Step-by-step instructions: 28 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (11 of 12)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
This is a coherent paper-analysis skill, but it gives the agent broad local PDF access, shell-based PDF extraction, and file-writing behavior without strong user-control boundaries.
LLM: suspicious (high) · VirusTotal: · 28 May 2026