SKILLEMALL.ai
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BF code-mentor

Comprehensive AI programming tutor for all levels. Teaches programming through interactive lessons, code review, debugging guidance, algorithm practice, project mentoring, and design pattern exploration. Use when the user wants to: learn a programming language, debug code, understand algorithms, review their code, learn design patterns, practice data structures, prepare for coding interviews, understand best practices, build projects, or get help with homework. Supports Python and JavaScript.

ClawHub Agent Skills author: AlvisDunlop v1.0.0 MIT-0 2 files body ≈ 6 028 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 42/100 · Will not run — References files that are not bundled: references/user-progress/learning_log.md, scripts/analyze_code.py, scripts/run_tests.py

AnalyzerSoftware developmenttype 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
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: references/user-progress/learning_log.md, scripts/analyze_code.py, scripts/run_tests.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: code-mentor (ClawHub)

How to improve

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

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6028 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/user-progress/learning_log.md
  • warning missing-ref reference to a missing file: scripts/analyze_code.py
  • warning missing-ref reference to a missing file: scripts/run_tests.py
  • warning missing-ref reference to a missing file: scripts/complexity_analyzer.py

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: references/user-progress/learning_log.md, scripts/analyze_code.py, scripts/run_tests.py
  • 0Tools and files. 4 referenced file(s) missing: references/user-progress/learning_log.md, scripts/analyze_code.py, scripts/run_tests.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (code-mentor) differs from the folder (alv-code-mentor)
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 6028 tokens
  • 85Steps. 261 steps, 1 vague phrases
  • 100Failures and branches. 2 branches, has a failure section
  • 100Progress reporting. Reports progress

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
  • -214 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 497: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 261 items
  • +4Has examples (13 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
This programming tutor skill is instruction-only and purpose-aligned, but it may save local learning progress notes during use.
LLM: benign (high) · VirusTotal: · 29 May 2026