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DD english-memory-method

英语篇章背诵法 v2.2.0：结构骨架图、关键词链式化（问题链/电影法/轨道法）、复述五级阶梯、三遍法、艾宾浩斯间隔复习、记忆钩子、复述技巧包、专业词汇标记与梳理、挖空自测，并交付 SVG 结构图与自包含 HTML 背诵方案（含逐句翻译与全现象连读标注，翻译默认中文可传参换语种）。当用户给出一段或多段英文文章（议论文/说明文/叙事文等）并要求"背诵方法/记忆技巧/帮我背/出背诵方案/和上面一样的记忆技巧"时使用；也适用于任何需要把英文段落快速记牢的学习场景。

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: George v0.1.0 MIT-0 24 files · 3 scripts body ≈ 1 379 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

英语篇章背诵法 v2.2.0：结构骨架图、关键词链式化（问题链/电影法/轨道法）、复述五级阶梯、三遍法、艾宾浩斯间隔复习、记忆钩子、复述技巧包、专业词汇标记与梳理、挖空自测，并交付 SVG 结构图与自包含 HTML…

As a process D 35/100 · Unfinished process — References files that are not bundled: assets/<topic>-structure.svg

ProcedureWriting and documentstype 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
D
56/100
safety, quality, tests
Safety 60%
52
Quality 40%
63
Run on models
none yet
Process rating
D
35/100
Unfinished process
References files that are not bundled: assets/<topic>-structure.svg
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

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  3. 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 · 10

  • high Dangerous commands cmd-pipe-to-shell readme.en.md:48
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://cdn.jsdelivr.net/gh/yxdwind/english-memory-method@main/install.sh | bash
  • high Dangerous commands cmd-pipe-to-shell readme.md:48
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://cdn.jsdelivr.net/gh/yxdwind/english-memory-method@main/install.sh | bash
Medium and low: 8
  • medium Dangerous commands cmd-pipe-to-shell-known-host platforms/README.md:46
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/yxdwind/english-memory-method/main/install.sh | bash
  • low Dangerous commands cmd-pipe-to-shell-known-host install.sh:5
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    #   curl -fsSL https://raw.githubusercontent.com/yxdwind/english-memory-method/main/install.sh | bash
    comment
  • low Dangerous commands cmd-pipe-to-shell-known-host platforms/aider/CONVENTIONS-snippet.md:33
    Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)
    > macOS/Linux: `curl -fsSL https://raw.githubusercontent.com/yxdwind/english-memory-method/main/install.sh | bash`
    quoted
  • low Dangerous commands cmd-pipe-to-shell-known-host platforms/cline/english-memory-method.md:32
    Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)
    > macOS/Linux: `curl -fsSL https://raw.githubusercontent.com/yxdwind/english-memory-method/main/install.sh | bash`
    quoted
  • low Dangerous commands cmd-pipe-to-shell-known-host platforms/copilot/copilot-instructions-snippet.md:34
    Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)
    > macOS/Linux: `curl -fsSL https://raw.githubusercontent.com/yxdwind/english-memory-method/main/install.sh | bash`
    quoted
  • low Dangerous commands cmd-pipe-to-shell-known-host platforms/gemini/GEMINI.md:33
    Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)
    > macOS/Linux: `curl -fsSL https://raw.githubusercontent.com/yxdwind/english-memory-method/main/install.sh | bash`
    quoted
  • low Dangerous commands cmd-pipe-to-shell-known-host platforms/qoder/english-memory-method.md:31
    Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)
    > macOS/Linux: `curl -fsSL https://raw.githubusercontent.com/yxdwind/english-memory-method/main/install.sh | bash`
    quoted
  • low Dangerous commands cmd-pipe-to-shell-known-host platforms/roo/english-memory-method.md:31
    Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)
    > macOS/Linux: `curl -fsSL https://raw.githubusercontent.com/yxdwind/english-memory-method/main/install.sh | bash`
    quoted

Files scanned: 22. 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: assets/<topic>-structure.svg

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: assets/<topic>-structure.svg
  • 0Tools and files. 1 referenced file(s) missing: assets/<topic>-structure.svg
  • 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
  • 100Steps. 72 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1379 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (6 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

  • +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
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 231: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 72 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
The skill itself is a coherent English memorization helper, but its installers encourage running mutable remote scripts and can persist instructions into multiple agent platforms without verification.
LLM: suspicious (high) · 16 Sept 2026