SKILLEMALL.ai
GitHub ↗ RU Sign in

DF custom-mysql

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: NoodlyPandaStories v5.0.1 MIT-0 23 files · 4 scripts body ≈ 4 938 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/auto-extract.py, scripts/hancho-consolidate.py

ProcedureMySQLInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
D
58/100
safety, quality, tests
Safety 60%
97
Quality 40%
0
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/auto-extract.py, scripts/hancho-consolidate.py
Tools and files w 18
0
Result and completion w 14
0
When it triggers w 12
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.
  2. 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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Dangerous commands cmd-background-process SETUP_GUIDE.md:18
    Starts a background / autostarted process
    sudo systemctl enable mysql
  • low Secrets in code secret-high-entropy-token SETUP_GUIDE.md:41
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    IDENTIFIED BY 'Your…123!';
    quoted
  • low Secrets in code secret-high-entropy-token SETUP_GUIDE.md:48
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    IDENTIFIED BY 'Your…456!';
    quoted

Files scanned: 23. 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
  • warning missing-ref reference to a missing file: scripts/auto-extract.py
  • warning missing-ref reference to a missing file: scripts/hancho-consolidate.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/auto-extract.py, scripts/hancho-consolidate.py
  • 0Tools and files. 2 referenced file(s) missing: scripts/auto-extract.py, scripts/hancho-consolidate.py
  • 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
  • 30Running it twice. 10 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4938 tokens
  • 100Steps. 125 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 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
  • +1No license
  • +2Single-language instructions
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 125 items
  • +4Has examples (7 code blocks)

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

External checks

ClawHub: suspicious
VectorClaw is a disclosed self-hosted memory database, but it needs Review because it persists broad sensitive user profiles and agent reasoning while relying on operator-controlled consent, retention, and credential safeguards.
LLM: suspicious (high) · VirusTotal: · 28 May 2026