SKILLEMALL.ai

DD fangcloud-ai

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: jiema v1.0.1 MIT-0 5 files · 2 scripts body ≈ 2 677 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
59/100
safety, quality, tests
Safety 60%
99
Quality 40%
0
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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
  • low Obfuscation obf-hex-escape-chain references/openapi.md:1919
    Escaped/char-code string obfuscation (quoted — discussed, not commanded)
    --header 'x-file-name: 1758513460275_%E3%80%8A%E6%99%BA%E8%83%BD%E4%BD%93%E8%9C%82%E7%BE%A4%E5%AE%9E%E6%88%98%E5%9F%B9%E8%AE%AD%E3%80%8B%E7%90%86%E8%AE%BA%E9%83%A8%E5%88%86%E8%B5%84%E6%96%99.pdf' \
    quoted

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 30Running it twice. 18 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 100Steps. 158 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2677 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (5 tags): a typed call is more reliable

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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 158 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This Fangcloud skill matches its stated cloud-file purpose, but it gives an agent broad file/admin power, runs an unverified downloaded CLI, and includes real-looking bearer tokens in its API docs.
LLM: suspicious (high) · VirusTotal: · 29 May 2026