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DB educlaw-ielts-planner

EduClaw - Personal IELTS Study Secretary: detailed planning, Google Calendar scheduling via gcalcli, automated study material management. 4-step workflow: Language Detect → Research → Calendar → Documentation.

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: moclaw v1.0.1 MIT-0 11 files body ≈ 11 394 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, execution cost

ProcedurePersonal productivityWriting and documentsInfrastructuretype 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
D
42/100
safety, quality, tests
Safety 60%
26
Quality 40%
65
Run on models
none yet
Process rating
B
70/100
Nearly there
Inputs and preconditions w 11
30
Execution cost w 6
40
When it triggers w 12
50
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.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 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 · 6

  • high Dangerous commands cmd-pipe-to-shell SETUP_VI.md:45
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://get.openclaw.dev | bash
  • high Dangerous commands cmd-pipe-to-shell SETUP_VI.md:599
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://get.openclaw.dev | bash
  • high Dangerous commands cmd-pipe-to-shell SETUP.md:45
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://get.openclaw.dev | bash
  • high Dangerous commands cmd-pipe-to-shell SETUP.md:652
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://get.openclaw.dev | bash
Medium and low: 2
  • low Dangerous commands cmd-background-process SETUP_VI.md:510
    Starts a background / autostarted process
    nohup openclaw gateway &
  • low Dangerous commands cmd-background-process SETUP.md:528
    Starts a background / autostarted process
    nohup openclaw gateway &

Files scanned: 11. 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 body-long SKILL.md body ≈ 11394 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 70/100

  • 30Inputs and preconditions. Does not say what the process needs to start
  • 40Execution cost. Instruction body is 11394 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 185 steps
  • 100Failures and branches. 16 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 top-level sections: this looks like several domains in one skill

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 209: enough signal without eating the budget
  • +4Structure: 60 headings
  • +3Step-by-step instructions: 185 items
  • +3Output format is stated explicitly
  • +4Has examples (29 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
This is a disclosed IELTS study-planner skill with calendar, local tracking, and notification integrations, but users should configure its credentials and automations carefully.
LLM: benign (high) · VirusTotal: · 29 May 2026