SKILLEMALL.ai

AC daily-xuanzang

Daily reading of the Great Tang Records on the Western Regions (大唐西域记) — Xuanzang's Western Journey across the Silk Road and India, all 12 fascicles (CBETA T51n2087), with auto-tracked progress, vernacular/English translation, a bilingual route map, and voice. 每日讲读《大唐西域记》——玄奘西行丝路与印度全程,逐段推进,自动追踪进度,默认配中英文路线地图、白话翻译与语音。 Triggers / 触发词: 「大唐西域记」「西域记」「玄奘西行」「daily xuanzang」「今日西域记」「继续读西域记」「xuanzang」「xiyuji」

ClawHub Agent Skills author: TommyYanPS v0.2.0 MIT-0 20 files body ≈ 1 783 tokens Open the sourceclawhub.ai analyzed 2 d ago

Daily reading of the Great Tang Records on the Western Regions (大唐西域记) — Xuanzang's Western Journey across the Silk Road and India, all 12 fascicles (CBETA…

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 20. 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 62/100

  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 49 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1783 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 401: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 49 items
  • +3Output format is stated explicitly
  • +4Has examples (7 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: 82.

External checks

ClawHub: clean
This is a coherent daily historical-reading skill, but users should understand that it persists reading progress, can archive generated media locally, and may reproduce biased historical source passages.
LLM: benign (medium) · VirusTotal: · 9 Jul 2026