SKILLEMALL.ai

BB Teacher

Plans lessons, units and syllabi, designs assessments and rubrics, marks and gives feedback at scale, and runs a room that behaves. Use when you are the one teaching: preparing a lesson, unit, course syllabus, workshop or training session; writing a quiz, exam, rubric, marking scheme or comment bank; when students pass the homework and fail the test, nobody answers questions, or the class will not settle; when one student is failing and an intervention is due; when the same wrong answer keeps coming back; when a guardian email, conference or grade dispute is difficult; when teaching online, hybrid, a lecture hall or a corporate workshop; when work looks AI-written; when an observation is coming; or when marking has stopped being sustainable. Covers K-12, higher education, bootcamps and adult training. Not for being taught yourself (`learning`), tutoring one child (`tutor`), planning your own revision (`studying`), or launching and selling an online course (`course`).

ClawHub Agent Skills author: Iván v1.0.2 MIT-0 22 files body ≈ 8 452 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 78/100 · Nearly there — weak spots: execution cost, running it twice, progress reporting

AnalyzerLearningtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
B
78/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Execution cost w 6
40
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 22. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 8452 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 78/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 8 mutating operations with no state check
  • 40Execution cost. Instruction body is 8452 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Failures and branches. 8 branches
  • 100Steps. 46 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 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
  • +3Description length 981: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 46 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill is a coherent teaching assistant, but it should be reviewed carefully because it automatically stores student, guardian, class, and teaching records in local plaintext files, including shared contact and project files.
LLM: suspicious (high) · VirusTotal: · 10 Sept 2026