SKILLEMALL.ai

AF review-diagnostics

文稿审稿诊断工具集。提供事实核查、读者模拟、结构分析、传播力评估和反AI味检测等审稿技法。Use when: (1) 需要对文章/播客稿/视频脚本进行深度审稿 (2) 发现某段读起来不顺/走神/假/有AI味 (3) 用户要求逐句审稿、事实核查、结构评估。Not for: 语法检查、文字校对、帮写文章。

ClawHub Agent Skills author: mayf3 v1.0.0 MIT-0 8 files body ≈ 331 tokens Open the sourceclawhub.ai analyzed 2 d ago

文稿审稿诊断工具集。提供事实核查、读者模拟、结构分析、传播力评估和反AI味检测等审稿技法。Use when: (1) 需要对文章/播客稿/视频脚本进行深度审稿 (2) 发现某段读起来不顺/走神/假/有AI味 (3) 用户要求逐句审稿、事实核查、结构评估。Not for: 语法检查、文字校对、帮写文章。

As a process F 32/100 · Will not run — References files that are not bundled: references/dual-host-dialogue.md

AnalyzerSoftware developmentAI and agentsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
F
32/100
Will not run
References files that are not bundled: references/dual-host-dialogue.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. 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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/dual-host-dialogue.md

Process rating: all ten parameters 32/100

Will not run. References files that are not bundled: references/dual-host-dialogue.md
  • 0Tools and files. 1 referenced file(s) missing: references/dual-host-dialogue.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
  • 50Steps. 2 steps
  • 50When it triggers. No condition that starts the skill
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 331 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
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 151: enough signal without eating the budget
  • +4Structure: 7 headings
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

External checks

ClawHub: clean
This skill is a coherent manuscript review toolkit with disclosed local checklist and validation helpers, and no evidence of hidden data access or unsafe behavior.
LLM: benign (high) · VirusTotal: · 10 Jul 2026