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DD skill-creator-ultra

Tạo AI Skill mới từ ý tưởng hoặc quy trình công việc. Kết hợp phỏng vấn thông minh, pattern detection, và quantitative evaluation để tạo skill chất lượng production. Dùng khi user nói "tạo skill", "biến quy trình thành skill", "make a new skill", "tự động hóa công việc này", hoặc mô tả quy trình lặp lại mà họ muốn AI tự làm. Cũng dùng khi user muốn cải thiện, test, hoặc optimize skill hiện có.

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: Wi v1.0.0 49 files · 1 script body ≈ 3 022 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Tạo AI Skill mới từ ý tưởng hoặc quy trình công việc.

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureJiraInfrastructuretype 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
55/100
safety, quality, tests
Safety 60%
44
Quality 40%
72
Run on models
none yet
Process rating
D
39/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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

  • high Dangerous commands cmd-pipe-to-shell resources/script_integration.md:280
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl | bash
  • high Dangerous commands cmd-pipe-to-shell resources/script_integration.md:281
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    wget | sh
Medium and low: 4
  • medium Dangerous commands cmd-pipe-to-shell-known-host README.md:143
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -sL https://raw.githubusercontent.com/mark…xel/skill-generator/main/install.sh | bash
  • medium Dangerous commands cmd-pipe-to-shell-known-host README.md:818
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -sL https://raw.githubusercontent.com/mark…xel/skill-generator/main/install.sh | bash
  • medium Dangerous commands cmd-privilege resources/script_integration.md:287
    Privilege escalation / world-writable permissions
    chmod 777
  • medium Dangerous commands cmd-pipe-to-shell resources/script_integration.md:317
    Downloads and executes remote code from an unrecognised host (pipe to shell) (documentation table row)
    | **Không chạy `curl \| bash`** | Deny List (mục 4.3) | Remote code execution |
    table

Files scanned: 49. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 39/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 40Consistency. Frontmatter name (skill-creator-ultra) differs from the folder (skill-generator)
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 55 steps
  • 100Execution cost. Instruction body is 3022 tokens
  • low 18 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)
  • +3Output format is not stated: the model decides each time
  • -240 emoji in the instructions: noise for the model
  • -39 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 396: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 55 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
The skill is a coherent skill-creation toolkit, but its installer and review viewer use risky local behaviors that should be reviewed before use.
LLM: suspicious (high) · VirusTotal: · 11 Sept 2026