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AF gemini-sub-agent

Use Google Gemini as a free sub-agent via a Google One / Gemini Advanced subscription (no API key or API credits needed). Use when: (1) delegating tasks that would normally cost Sonnet/Haiku credits, (2) processing large documents or long-context tasks (1M token window), (3) running agentic coding tasks autonomously, (4) any text analysis, summarization, or Q&A task. Replaces paid cloud models for medium-complexity tasks. NOT for: tasks needing OpenClaw-native tools (web_search, sessions_spawn, Telegram), real-time data, or tasks requiring OpenClaw context.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files · 1 script body ≈ 684 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Use Google Gemini as a free sub-agent via a Google One / Gemini Advanced subscription (no API key or API credits needed).

As a process F 46/100 · Will not run — References files that are not bundled: scripts/ask-gemini

IntegrationTelegramAI 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
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: scripts/ask-gemini
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

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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/ask-gemini

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: scripts/ask-gemini
  • 0Tools and files. 1 referenced file(s) missing: scripts/ask-gemini
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 684 tokens
  • 100Running it twice. No mutating operations
  • 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
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 563: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (5 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.