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AD gromacs-protein-analysis

蛋白质分子动力学模拟分析的流程知识指南。当 Agent 需要执行某个分析但不清楚具体流程时调用。涵盖九种核心分析的完整工作流:(1) PBC 修正 - 消除周期性边界伪影,居中蛋白质/配体;(2) RMSD 分析 - 测量结构稳定性和模拟收敛性;(3) RMSF 分析 - 评估每个残基的灵活性;(4) 回转半径分析 - 评估蛋白质紧密性和折叠状态;(5) SASA 分析 - 研究溶剂可及性和表面性质;(6) DCCM 分析 - 动态互相关矩阵,研究原子间相关运动;(7) RDCM 分析 - 残基距离接触矩阵,分析残基间空间关系;(8) PCA 分析 - 主成分分析,识别集体运动和构象变化;(9) FEL 分析 - 自由能景观映射,使用 RMSD/Gyrate 或 PCA 作为反应坐标。包含分析间的依赖关系说明(如 FEL 依赖 PCA 或 RMSD/Gyrate 结果)。

ClawHub Agent Skills author: CharlesHahn v1.0.0 MIT-0 11 files body ≈ 1 636 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
48/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 48/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 61 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1636 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress
  • low 10 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 391: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 61 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (9 of 9)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill is a documentation-only guide for GROMACS protein simulation analysis and does not show hidden execution, credential access, persistence, or data exfiltration.
LLM: benign (high) · VirusTotal: · 29 May 2026