Skills/ClawHub/huawei-cloud-study-plan-generate

huawei-cloud-study-plan-generate@1.0.2

CAUTION

Publisher claims: "Randomly generate a structured, configurable study-practice plan (学习实践表). Lays the plan out as day x time-slot cells, assigns every cell a study topic and a concrete practice item, keeps topics from repeating until the topic pool is exhausted, keeps a day's time slots non-overlapping, varies each session length inside a reasonable interval, and prints the result as a Markdown table (or plain text / JSON). A --seed flag makes any run reproducible. Implemented with the Python 3 standard library only; it does not call the Huawei Cloud CLI, any Huawei Cloud SDK, or any REST API, and it touches no cloud resource. Triggers include: "生成学习实践表", "随机生成学习计划", "学习安排", "帮我排学习计划", "生成学习表", "study plan", "random study plan", "study schedule", "learning plan", "practice plan"." Observed in sandbox: static analysis only — behavior not yet observed.

Registry ClawHubPublisher wlc-dev · joined 12 days agoInstalls 215Last detonated 6d ago

Is [email protected] safe to install?

KillerSkills analysed it statically (a sandbox run is pending) on 2026-10-28 and scored it 62/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.

Behavior trace

Queued for honeypot run · static analysis only
t+CategoryObserved action

This version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.

Static findings

MEDIUM
File type combined with upload actionSKILL.md:80 · File type combined with upload action — agent may exfiltrate local data filesFix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.
AST07
MEDIUM
Python subprocess execution detectedtests/test_generate_study_plan.py:154 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtests/test_generate_study_plan.py:183 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtests/test_generate_study_plan.py:173 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtests/test_generate_study_plan.py:192 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05
MEDIUM
Python subprocess execution detectedtests/test_generate_study_plan.py:162 · Python subprocess execution detectedFix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
AST05

What would make this Verified

18 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%
  1. Unclaimed publisher≈ +8 on the totalClaim wlc-dev: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
  2. New publisher≈ +3 on the totalTime clears this on its own after 14 and 30 days. Claiming the handle (+50) is the fastest way past it.
  3. File type combined with upload action≈ +2 on the totalRemove the call, or declare the host in frontmatter and explain in the README what is sent and why.
  4. Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.
Publish a new version to ClawHub, then queue it here. Not your skill? Claim the handle to get verdict changes by email.Claim wlc-dev