SKILLEMALL.ai

AD lunar-calendar-vietnam

Công cụ tra cứu Âm lịch, chuẩn xác theo hệ lịch Việt Nam (giờ GMT+7). Năng lực cốt lõi: - Dương lịch chuyển sang Âm Lịch (có Can Chi, Con Giáp Việt Nam) - Âm lịch chuyển sang Dương lịch - Ngày giờ hoàng đạo cơ bản - 24 Tiết Khí Kích hoạt khi: Người dùng hỏi "ngày âm", "âm lịch", "giờ hoàng đạo", "nông lịch", "tiết khí", "lịch việt nam" hoặc cần chuyển đổi ngày tháng lịch sử Việt Nam. Kết quả đầu ra: JSON Data kèm giải nghĩa ngôn ngữ tự nhiên.

ClawHub Agent Skills author: tuanxt v1.0.0 MIT-0 8 files body ≈ 567 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
46/100
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. 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 · 0

✓ No critical or high findings

Files scanned: 8. 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 46/100

  • 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
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 567 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (4 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 446: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

External checks

ClawHub: clean
This is a local Vietnamese lunar-calendar helper with some accuracy and dependency hygiene caveats, but no evidence of hidden data access, persistence, or malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026