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BC ielts-tuyaya-upload

上传雅思阅读复盘文件到服务器，支持 token 模式（进个人主页）和匿名模式。当用户想要上传已有的复盘 JSON、查看个人复盘仪表板时使用。触发词：上传复盘、上传复盘文件、sync review、upload review、查看我的复盘记录、我的仪表板、dashboard、tuyaya 上传、批量同步。

ClawHub Agent Skills author: dengjiawei1226 v1.3.2 MIT-0 7 files · 2 scripts body ≈ 1 290 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerData and analyticsInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
98
Quality 40%
73
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-password-literal scripts/upload.js:81
    Hard-coded password / key literal (may be an example)
    pwd = pwd.slice(0, -1);
  • low Dangerous commands cmd-shell-rc SKILL.md:211
    Writes to a shell startup file (quoted — discussed, not commanded)
    1. `echo $IELTS_USER_TOKEN` 是否真的有值（可能 `.zshrc` 没 source）
    quoted

Files scanned: 7. 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 58/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1290 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)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 152: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (13 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill mostly does what it says, but it handles account tokens and “anonymous” identity data in ways users should review carefully before installing.
LLM: suspicious (high) · VirusTotal: · 23 Jun 2026