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BC french-learning

French vocab automation. Formats Excel vocab to Google Sheet, generates ElevenLabs audio, uploads to Drive. Triggers: process french vocab, generate audio, French Excel file.

ClawHub Agent Skills author: clairproqc-star v1.0.0 MIT-0 8 files body ≈ 355 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

GeneratorGoogle SheetsExcelGoogle DriveData and analyticsInfrastructuretype 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
83/100
safety, quality, tests
Safety 60%
92
Quality 40%
69
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token references/config.md:8
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    - **Target Google Sheet ID**: `1Nnw…hl4` (extracted from URL)
    detector
  • low Secrets in code secret-high-entropy-token references/config.md:14
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    - **Source Google Sheet ID**: `1ryQ…yTQ` (extracted from URL)
    detector
  • low Secrets in code secret-high-entropy-token references/config.md:19
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - **Audio Folder ID**: `1F7J…wlV`
    quoted
  • low Secrets in code secret-high-entropy-token scripts/fix_update.py:4
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    TARGET_SHEET_ID = "1Nnw…hl4"
    detector
  • low Secrets in code secret-high-entropy-token scripts/format_excel.py:8
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    TARGET_SHEET_ID = "1Nnw…hl4"
    detector
  • low Secrets in code secret-high-entropy-token scripts/format_excel.py:10
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    SOURCE_SHEET_ID = "1ryQ…yTQ"
    detector
  • low Secrets in code secret-high-entropy-token scripts/generate_audio.py:9
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    TARGET_SHEET_ID = "1Nnw…hl4"
    detector
  • low Secrets in code secret-high-entropy-token scripts/generate_audio.py:11
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    AUDIO_FOLDER_ID = "1F7J…wlV"
    detector

Files scanned: 8. 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")

Process rating: all ten parameters 61/100

  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 355 tokens
  • 100Running it twice. No mutating operations

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
  • +4No input/output examples
  • -32 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 174: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 5 items
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This French-learning automation is mostly coherent, but it can clear and overwrite a hard-coded Google Sheet and send spreadsheet text to Gemini, ElevenLabs, and Google Drive without a clear confirmation step.
LLM: suspicious (high) · VirusTotal: · 29 May 2026