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BD ofek-galim

Check, monitor, and summarize student homework/tasks from Webtop (SmartSchool), Galim Pro, and Ofek. Use when the user asks to inspect homework, pending tasks, submission status, due items, or daily school updates for children across Webtop / Galim / Ofek, or when building/maintaining automation that sends alerts about new tasks.

ClawHub Agent Skills author: shaike1 v0.1.4 MIT-0 13 files · 8 scripts body ≈ 1 186 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Check, monitor, and summarize student homework/tasks from Webtop (SmartSchool), Galim Pro, and Ofek.

As a process D 47/100 · Unfinished process — References files that are not bundled: scripts/auto_update_flow.py, scripts/galim_probe.py, references/ofek-bot-notes.md

AnalyzerWhatsAppPlaywrightData and analyticsPersonal productivitytype 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
B
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
47/100
Unfinished process
References files that are not bundled: scripts/auto_update_flow.py, scripts/galim_probe.py, references/ofek-bot-notes.md
Tools and files w 18
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. 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 · 0

✓ No critical or high findings

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/auto_update_flow.py
  • warning missing-ref reference to a missing file: scripts/galim_probe.py
  • warning missing-ref reference to a missing file: references/ofek-bot-notes.md
  • warning missing-ref reference to a missing file: references/ofek-investigation-summary.md
  • note edit-residue the text marks something as outdated (lines 128): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: scripts/auto_update_flow.py, scripts/galim_probe.py, references/ofek-bot-notes.md
  • 0Tools and files. 4 referenced file(s) missing: scripts/auto_update_flow.py, scripts/galim_probe.py, references/ofek-bot-notes.md
  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 44 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1186 tokens

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)
  • -31 of 8 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 331: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 44 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This skill mostly matches homework monitoring, but it handles children’s credentials and can write student task data to external calendars with unsafe credential-loading and an unaudited external script boundary.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026