SKILLEMALL.ai

CD qingtian-buddhism

原始佛教/上座部修学助手:每日一故事、经典阅读、核心教义库、禅修引导、巴利小课堂、佛陀与圣弟子、修行打卡、问答检索、每日偈语。当用户提到佛陀、佛法、四圣谛、八正道、三法印、无我、禅修、内观、巴利三藏、阿含、上座部、法句经、念处、慈心禅、本生故事、缘起、五蕴、苦、涅槃时使用。

ClawHub Agent Skills author: won v1.5.2 MIT-0 80 files body ≈ 2 144 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

原始佛教/上座部修学助手:每日一故事、经典阅读、核心教义库、禅修引导、巴利小课堂、佛陀与圣弟子、修行打卡、问答检索、每日偈语。当用户提到佛陀、佛法、四圣谛、八正道、三法印、无我、禅修、内观、巴利三藏、阿含、上座部、法句经、念处、慈心禅、本生故事、缘起、五蕴、苦、涅槃时使用。

As a process D 35/100 · Unfinished process — References files that are not bundled: references/stories.md, references/suttas/, references/teachings/

ProcedureSoftware developmentLearningWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: references/stories.md, references/suttas/, references/teachings/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 80. 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")
  • warning missing-ref reference to a missing file: references/stories.md
  • warning missing-ref reference to a missing file: references/suttas/
  • warning missing-ref reference to a missing file: references/teachings/
  • warning missing-ref reference to a missing file: references/practice-log.md
  • warning missing-ref reference to a missing file: references/_sources.md
  • note frontmatter-key unknown frontmatter key "title"
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/stories.md, references/suttas/, references/teachings/
  • 0Tools and files. 5 referenced file(s) missing: references/stories.md, references/suttas/, references/teachings/
  • 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
  • 20When it triggers. No condition that starts the skill
  • 85Steps. 55 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2144 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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
  • +2Single-language instructions
  • +3Description length 137: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 55 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This is a disclosed Chinese-language Buddhist study skill that downloads a public scripture corpus locally and does not show hidden exfiltration, destructive behavior, or privilege abuse.
LLM: benign (high) · VirusTotal: · 16 Sept 2026