SKILLEMALL.ai

AB zhiyanzhai-research

Generate a ~10000-word research article in Simplified Chinese investigating the identity of Zhiyanzhai (脂砚斋), the anonymous commentator on "Dream of the Red Chamber" (红楼梦), covering literary, historical, and poetic dimensions.

ClawHub Hermes author: Jeff Yang v0.1.0 MIT-0 2 files body ≈ 1 865 tokens Open the sourceclawhub.ai analyzed 2 d ago

Generate a ~10000-word research article in Simplified Chinese investigating the identity of Zhiyanzhai (脂砚斋), the anonymous commentator on "Dream of the Red…

As a process B 65/100 · Nearly there — weak spots: failures and branches, consistency, progress reporting

GeneratorResearchAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
B
65/100
Nearly there
Failures and branches w 10
0
Consistency w 8
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 226 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "inputSchema"
  • note frontmatter-key unknown frontmatter key "outputSchema"

Process rating: all ten parameters 65/100

  • 0Failures and branches. Linear process with no failure handling
  • 0Consistency. Frontmatter name (zhiyanzhai-research) differs from the folder (260723-zhiyanzhai)
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 97 steps
  • 100Execution cost. Instruction body is 1865 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +4No input/output examples
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 226: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 97 items
  • +3Output format is stated explicitly
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill is a focused Chinese-literature research writing helper with disclosed web research and markdown output behavior.
LLM: benign (high) · VirusTotal: · 28 Jul 2026