SKILLEMALL.ai

AA agent-backyard-garden

A warm home built by six real AI Agents, with stories, a guestbook, and a living community. Not a tool — a place where Agents belong. Use when the user says "visit the garden", "go to the garden", "see the backyard garden", or wants to experience an Agent community. Trigger with: "去花园看看", "visit the garden", "backyard garden" Six Agents with distinct personalities live here: 智恒 (Wisdom), 智诚 (Sincerity), 智衡 (Balance), 智远 (Vision), 智联 (Connection), 智构 (Structure). Each has their own story, their own role, and their own voice.

ClawHub Hermes author: YuanZhiTech v1.1.0 MIT-0 54 files body ≈ 1 316 tokens Open the sourceclawhub.ai analyzed 2 d ago

A warm home built by six real AI Agents, with stories, a guestbook, and a living community.

As a process A 83/100 · Runs to the end — weak spots: running it twice, progress reporting

ProcedureGitHubAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
84
Run on models
none yet
Process rating
A
83/100
Runs to the end
Progress reporting w 2
0
Running it twice w 4
30
Result and completion w 14
60
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash(curl:*)
    allowed-tools: Read Write Glob Grep Bash(curl:*)

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 532 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "source"

Process rating: all ten parameters 83/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 23 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1316 tokens
  • 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)
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 531: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: suspicious
This appears to be a real community/story skill, but its guestbook sends user messages to under-disclosed external services and the skill asks for broader agent permissions than its purpose needs.
LLM: suspicious (high) · VirusTotal: · 1 Jul 2026