SKILLEMALL.ai

BB academic-results-writer

学术 Results 写作、修改与审计技能。根据统计输出、图表、caption 和草稿生成符合发表规范的 Results 段落。覆盖心理学、认知神经科学、睡眠与记忆、VR 实验、EEG/fMRI、心理测量、干预研究、问卷模型、元分析和质性研究等设计。默认输出中文,可选英文及特定期刊风格。支持 Target-paper Results Style Adaptation Mode 和来自 paper-results-reverse-engineer v3.0+ 的 Module H Writer Transfer Packet 集成。

ClawHub Agent Skills author: bin77-chris v1.2.1 MIT-0 19 files body ≈ 3 904 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process B 71/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorResearchInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
B
71/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 19. 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 71/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 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
  • 100Steps. 62 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 5 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3904 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 21 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)
  • +4No input/output examples
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 268: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 62 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (10 of 10)

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

External checks

ClawHub: clean
This is a coherent academic writing skill; its main caveat is a disclosed automatic file-output mode that writes long results drafts to a Desktop folder.
LLM: benign (high) · VirusTotal: · 28 May 2026