SKILLEMALL.ai

BD 古典择日

基于清乾隆钦定《协纪辨方书》的古典择日系统。 融合黄道黑道十二神、建除十二神、天德月德天赦、凶煞、彭祖百忌、奇门遁甲、五行生克, 提供结婚、开业、搬家、签约、出行等10类活动的择吉选日。 评分权重遵循协纪辨方书正统体系,非简化黄历。 触发词:择日、择吉、选日子、黄道吉日、古典择日、黄历、协纪辨方书、结婚日子、开业日子、搬家日子。

ClawHub Agent Skills author: ikplpeter v1.0.0 MIT-0 6 files body ≈ 427 tokens Open the sourceclawhub.ai analyzed 26 h ago

基于清乾隆钦定《协纪辨方书》的古典择日系统。 融合黄道黑道十二神、建除十二神、天德月德天赦、凶煞、彭祖百忌、奇门遁甲、五行生克, 提供结婚、开业、搬家、签约、出行等10类活动的择吉选日。 评分权重遵循协纪辨方书正统体系,非简化黄历。…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
D
49/100
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "keywords"

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (古典择日) differs from the folder (classical-almanac)
  • 100Tools and files. No external tools needed
  • 100Steps. 12 steps
  • 100Execution cost. Instruction body is 427 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 165: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a local Chinese almanac/date-selection helper with no hidden system access, though its accuracy claims are stronger than the implementation supports.
LLM: benign (high) · VirusTotal: · 28 May 2026