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DD add-tiffin-order-roty-input

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Horng Yang Tan v0.1.0 21 files body ≈ 539 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureTelegramInfrastructuretype 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%
96
Quality 40%
0
Run on models
none yet
Process rating
D
45/100
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

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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token RULES.md:27
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    curl -sS -X POST "https://newd…app" -H "Content-Type: application/json" -d '{"userRef":"CR6o…XF3","vendorRef":"qfiDIvU
    quoted
  • low Secrets in code secret-high-entropy-token RULES.md:31
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    {"userRef":"CR6o…XF3", ... }
    placeholder
  • low Secrets in code secret-high-entropy-token RULES.md:38
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    -d '{"userRef":"CR6o…XF3","vendorRef":"qfiD…4zQ", ... }'
    quoted
  • low Secrets in code secret-high-entropy-token scripts/build_payload.py:10
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    userRef = "CR6o…XF3"
    quoted

Files scanned: 21. 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 45/100

  • 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
  • 30When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 539 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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
  • +4No input/output examples
  • -36 of 12 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 28 items

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

External checks

ClawHub: suspicious
This ordering skill has a legitimate purpose, but it needs review because it can create live orders by default and includes under-disclosed browser automation with exposed credentials.
LLM: suspicious (high) · VirusTotal: · 29 May 2026