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BF ruankao-essay-scoring

软考高级论文评分与诊断，支持全部 5 个高级资格：系统架构设计师（默认）、信息系统项目管理师、系统分析师、网络规划设计师、系统规划与管理师。当用户提到"帮我评分""给我的论文打分""论文评分""论文自查""论文诊断""看看我论文能得多少分"，或提交了论文内容希望评估时触发，先确认资格类型再执行对应评分标准。不适用于论文写作指导（那是 ruankao-essay-writing 的职责）、纯知识问答或非软考论文场景。

ClawHub Agent Skills author: Nieen v1.2.3 MIT-0 7 files body ≈ 1 532 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

软考高级论文评分与诊断，支持全部 5…

As a process F 35/100 · Will not run — References files that are not bundled: references/abstract-templates.md

GeneratorWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/abstract-templates.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 7. 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")
  • warning missing-ref reference to a missing file: references/abstract-templates.md
  • note frontmatter-key unknown frontmatter key "related_skills"
  • note frontmatter-key unknown frontmatter key "created"
  • note frontmatter-key unknown frontmatter key "skill_type"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/abstract-templates.md
  • 0Tools and files. 1 referenced file(s) missing: references/abstract-templates.md
  • 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
  • 100Steps. 34 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1532 tokens
  • 100Running it twice. No mutating operations
  • low 11 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

  • +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
  • +5Description quotes 2 example trigger phrases
  • +3Description length 209: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a straightforward essay-scoring helper with no hidden execution, credential use, network access, or persistence behavior in the inspected artifacts.
LLM: benign (high) · VirusTotal: · 23 Aug 2026