BD 回译反思法
中越翻译质量提升工作流（南宁市悦迅翻译有限公司 · 回译派 · 15 年中越实战）。以「反思回译法」10 阶段为父方法，叠加中越专项检查清单、假一致加固、可选回译前接地三层工程加固。专攻越南语翻译 QA、双模型反思流水线、回译派课程落地。
中越翻译质量提升工作流（南宁市悦迅翻译有限公司 · 回译派 · 15 年中越实战）。以「反思回译法」10 阶段为父方法，叠加中越专项检查清单、假一致加固、可选回译前接地三层工程加固。专攻越南语翻译 QA、双模型反思流水线、回译派课程落地。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "agent_created"
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 (回译反思法) differs from the folder (back-translate-reflect)
- 100Tools and files. No external tools needed
- 100Steps. 27 steps
- 100Execution cost. Instruction body is 1469 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
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)
- +3Description length 119: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 27 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.
External checks
ClawHub: clean
This is a disclosed Chinese-Vietnamese translation QA workflow with no executable code, hidden data access, or unusual privileges.
LLM: benign (high) · VirusTotal: · 15 Aug 2026