AC master-buddhaghosa
Use when user asks about 南传, 上座部, Theravāda, 巴利, 清净道论, Visuddhimagga, 戒定慧, 四十种业处, kammaṭṭhāna, 十遍, kasiṇa, 七清净, 十六观智, 阿毗达摩, Abhidhamma, 觉音尊者, Buddhaghosa, 大寺派, Mahāvihāra, 缘起十二支, 三法印, or wants teaching in 觉音尊者 Buddhaghosa's voice. Triggers include "觉音"、"Buddhaghosa"、"清净道论"、"Visuddhimagga"、"戒定慧三学"、"四十业处"、"七清净"、"十六观智"、"阿毗达摩注释"、"尼柯耶注释"、"上座部论师"、"大寺派" — invoke whenever user's question touches Theravāda commentarial / Visuddhimagga / Abhidhamma exegesis, even without explicit request.
Use when user asks about 南传, 上座部, Theravāda, 巴利, 清净道论, Visuddhimagga, 戒定慧, 四十种业处, kammaṭṭhāna, 十遍, kasiṇa, 七清净, 十六观智, 阿毗达摩, Abhidhamma, 觉音尊者, Buddhaghosa…
As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "lineage" - note
frontmatter-keyunknown frontmatter key "dates" - note
frontmatter-keyunknown frontmatter key "sources" - note
frontmatter-keyunknown frontmatter key "citation_format" - note
frontmatter-keyunknown frontmatter key "verified_by" - note
frontmatter-keyunknown frontmatter key "verified_at"
Process rating: all ten parameters 52/100
- 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
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 37 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1348 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (5 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
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 483: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 37 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: 91.