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BF meta-academic-translation

由 model-distillation 从教师技能 academic-translation 蒸馏并增强的超越型元技能， 在教师能力之上叠加自验证、自我反思、super-agent 编排与持续自进化闭环，逐步超越教师。

ClawHub Agent Skills author: qq435912743 v1.0.0 MIT-0 4 files body ≈ 1 583 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

由 model-distillation 从教师技能 academic-translation 蒸馏并增强的超越型元技能， 在教师能力之上叠加自验证、自我反思、super-agent 编排与持续自进化闭环，逐步超越教师。

As a process F 40/100 · Will not run — References files that are not bundled: refs/glossary/, modules/input-router.md, modules/three-step-translation.md

ProcedureLaTeXWriting and documentsResearchtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
58
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: refs/glossary/, modules/input-router.md, modules/three-step-translation.md
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: 4. 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: refs/glossary/
  • warning missing-ref reference to a missing file: modules/input-router.md
  • warning missing-ref reference to a missing file: modules/three-step-translation.md
  • warning missing-ref reference to a missing file: modules/academic-polish.md
  • warning missing-ref reference to a missing file: modules/bilingual-export.md
  • warning missing-ref reference to a missing file: refs/chinglish-patterns.md
  • warning missing-ref reference to a missing file: refs/word-choice-table.md
  • warning missing-ref reference to a missing file: refs/anti-ai-patterns.md
  • warning missing-ref reference to a missing file: refs/formula-preservation.md
  • warning missing-ref reference to a missing file: refs/section-conventions.md
  • warning missing-ref reference to a missing file: config/user-glossary.template.yaml
  • warning missing-ref reference to a missing file: scripts/arxiv_fetch.sh
  • warning missing-ref reference to a missing file: assets/templates/bilingual-html.html
  • note frontmatter-key unknown frontmatter key "agent_created"
  • note frontmatter-key unknown frontmatter key "visibility"

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: refs/glossary/, modules/input-router.md, modules/three-step-translation.md
  • 0Tools and files. 13 referenced file(s) missing: refs/glossary/, modules/input-router.md, modules/three-step-translation.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1583 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)
  • +3Description length 110: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (1 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
This translation skill is mostly transparent, but it asks for persistent learning and even self-modification of its own instructions without clear user consent or review controls.
LLM: suspicious (high) · 14 Aug 2026