SKILLEMALL.ai
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BA paper-defense-qa-code-training

Prepare evidence-grounded computer science paper defense Q&A, code/training audit, reviewer-style attack surfaces, mock-defense scripts, backup-slide plans, and illustrated Q&A storyboard / image-prompt packs. Use when users need paper-specific thesis, lab, conference, rebuttal, or interview defense preparation, including code and training-process grilling plus ChatGPT/Codex image-generation prompts for visual explanations.

ClawHub Agent Skills author: c-narcissus v1.1.0 MIT-0 31 files body ≈ 8 129 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process A 85/100 · Runs to the end — weak spots: execution cost

AnalyzerSoftware developmentAI and agentstype 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
89/100
safety, quality, tests
Safety 60%
98
Quality 40%
75
Run on models
none yet
Process rating
A
85/100
Runs to the end
Execution cost w 6
40
Result and completion w 14
60
Inputs and preconditions w 11
70
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Risky intent intent-wallet-secrets SKILL.md:308
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (detector / deny-list definition)
    For each round, include expected answer length, likely interruption, and a recovery phrase.
    detector
  • low Risky intent intent-wallet-secrets workflow/06_mock_defense_rehearsal.md:26
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target (test fixture / example file)
    - Recovery phrase:
    fixture

Files scanned: 31. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8129 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 85/100

  • 40Execution cost. Instruction body is 8129 tokens: crowds the task out of the window
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Failures and branches. 12 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 248 steps
  • 100When it triggers. States when to use and when not to
  • 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 22 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)
  • -33 of 5 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 427: enough signal without eating the budget
  • +4Structure: 56 headings
  • +3Step-by-step instructions: 248 items
  • +3Output format is stated explicitly
  • +4Has examples (28 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
The skill is mostly a local paper-defense helper, but its published metadata claims unrelated purchase and crypto capabilities that users should review before installing.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026