SKILLEMALL.ai

DC code2animation

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Frank Lin v1.0.1 50 files body ≈ 2 565 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
56/100
safety, quality, tests
Safety 60%
94
Quality 40%
0
Run on models
none yet
Process rating
C
51/100
Has gaps
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:158
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…SzS+cfgl…B0A==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:162
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…ToE+vYgD…UJ8+N1Am3Mz4+xOBy…f4D+CpkA==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:168
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…7pY+zoMV…h0x/Ptw8…8dg==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:192
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…b00+Gxjx…zRc/oZwU…hzA==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:228
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha512-vHk/hA7/1Ack…wbo+jaSh…Gtl+A5zq…HFg==}
  • low Dangerous commands cmd-privilege scripts/render.ts:219
    Privilege escalation / world-writable permissions (string literal in code, not executed)
    '--disable-setuid-sandbox',
    code literal

Files scanned: 50. 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 51/100

  • 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
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 107 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2565 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 107 items
  • +4Has examples (11 code blocks)

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

External checks

ClawHub: suspicious
The skill’s video and TTS purpose is coherent, but it includes an unauthenticated audio-generation endpoint that can run shell commands from request input, so it needs review before installation.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026