SKILLEMALL.ai

AD sjtu-canvas

SJTU Canvas LMS 课程助手。管理上海交通大学 Canvas (oc.sjtu.edu.cn) 课程数据。 也适用于其他基于 Canvas LMS 的高校,修改 base_url 即可。 触发场景: (1) 查看/下载课程文件(PPT/PDF)、批量下载课件 (2) 查看作业列表、DDL、提交状态、提交作业 (3) 同步作业DDL到Apple日历(Mac+iPhone) (4) PPT/PDF内容提取和AI总结、课件学习 (5) 作业辅导(提取作业要求+课件内容→给思路) (6) 查看成绩、计算均分 (7) 课程讨论区摘要 (8) DDL预警提醒 (9) 期末复习包生成(所有课件→Markdown) (10) 一键提交作业 触发词: Canvas, 课程, 作业, DDL, 截止, 成绩, 课件, PPT, 总结, 复习, 提交作业, 讨论区, course, assignment, grade

ClawHub Agent Skills author: xhh678876 v1.0.1 MIT-0 7 files body ≈ 625 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceLearningInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 0

✓ No critical or high findings

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 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 625 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 409: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (6 code blocks)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This Canvas helper is purpose-aligned but needs review because it can access private course data and perform calendar or submission actions without enough safeguards.
LLM: suspicious (high) · VirusTotal: · 28 May 2026