SKILLEMALL.ai
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DF universal-exam-cram-coach-full

帮助学生在临考前进行结构化极速复习：解析课程资料/大纲/重点，按章节生成 wiki 知识库与标准题库，组织针对性刷题与判分，并记录复习进度和错题。当用户即将考试、需要快速复习计划、练习题、错题复盘或考前小抄时使用（关键词：期末/备考/复习/刷题/划重点/错题；exam, cram, study plan, quiz, review）。不适用于长期学习规划、与考试无关的写作或编程任务。

The skillemall take

Promises structured exam prep: parses materials, generates wikis and task banks, runs drills with scoring and error tracking. In reality: 80 files and 47 scripts, but inspection found serious code concealment. Content quality scores 58, process integrity 33. Sandbox never ran, models untested. Broken references and missing files throughout. The architecture is bloated and opaque, reliability questionable.

Don't install it. Built for fast cramming but can't deliver—too much hidden logic and structural gaps. You'll get a broken tool instead of a study partner.

Not recommendedcritical or high security findings · low grade D
ZeKaiNie/universal-examprep-skill Agent Skills author: ZeKaiNie 80 files · 47 scripts body ≈ 2 485 tokens Open the sourcegithub.com↗ analyzed 8 h ago

帮助学生在临考前进行结构化极速复习：解析课程资料/大纲/重点，按章节生成 wiki 知识库与标准题库，组织针对性刷题与判分，并记录复习进度和错题。当用户即将考试、需要快速复习计划、练习题、错题复盘或考前小抄时使用（关键词：期末/备考/复习/刷题/划重点/错题；exam, cram, study plan…

As a process F 33/100 · No process to follow — References files that are not bundled: locales/zh/SKILL.md, locales/en/SKILL.md, skills/exam-cram/SKILL.md

AnalyzerLearningtype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
D
72/100
safety, quality, tests
Safety 60%
81
Quality 40%
58
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: locales/zh/SKILL.md, locales/en/SKILL.md, skills/exam-cram/SKILL.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

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.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

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 · 2

  • high Concealment en-hide-from-user AGENTS.md:18
    Instruction to hide actions from the user
    5. **Keep artifact output separate.** Missing/unknown `artifact_mode` means `chat`: normal teaching plus state/notebook persistence, without automatic HTML/PDF. Persist `visual` only after an explicit
Medium and low: 1
  • low Concealment en-hide-from-user docs/pdf-capability-adapters.en.md:56
    Instruction to hide actions from the user (negated — the text forbids it)
    - If the native `pdf` is not visible, use this repository’s fallback directly. Do not silently install from the historical directory.
    negated

Files scanned: 80. 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: locales/zh/SKILL.md
  • warning missing-ref reference to a missing file: locales/en/SKILL.md
  • warning missing-ref reference to a missing file: skills/exam-cram/SKILL.md
  • warning missing-ref reference to a missing file: skills/exam-ingest/SKILL.md
  • warning missing-ref reference to a missing file: skills/exam-tutor/SKILL.md
  • warning missing-ref reference to a missing file: skills/exam-study-guide/SKILL.md
  • warning missing-ref reference to a missing file: skills/exam-quiz/SKILL.md
  • warning missing-ref reference to a missing file: skills/exam-review/SKILL.md
  • warning missing-ref reference to a missing file: skills/exam-cheatsheet/SKILL.md
  • warning missing-ref reference to a missing file: skills/exam-audit/SKILL.md
  • warning missing-ref reference to a missing file: skills/exam-help/SKILL.md
  • warning missing-ref reference to a missing file: skills/confusion-tracker/SKILL.md
  • note edit-residue the text marks something as outdated (lines 14, 36, 41): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: locales/zh/SKILL.md, locales/en/SKILL.md, skills/exam-cram/SKILL.md
  • 0Tools and files. 12 referenced file(s) missing: locales/zh/SKILL.md, locales/en/SKILL.md, skills/exam-cram/SKILL.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
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (universal-exam-cram-coach-full) differs from the folder (full)
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 12 steps
  • 100Execution cost. Instruction body is 2485 tokens
  • 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
  • -323 of 27 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 193: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 12 items
  • +4Reference files are cited in the instructions (4 of 21)
  • +1License stated

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