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AC deep-research-via-gemini-cli

Execute Gemini Deep Research using the gemini-deep-research MCP extension for the Gemini CLI. Use when user wants deep, comprehensive research on a topic — market analysis, industry research, geopolitical analysis, investment research, or any complex multi-source inquiry. Triggers on: deep research X, 帮我研究 X, gemini deep research X, research X thoroughly, 研究一下 X, do a deep search on X, 深度研究 X. Requires: (1) gemini CLI installed (`npm install -g @google/gemini-cli`), (2) gemini-deep-research extension installed, (3) a paid Google AI API key configured via `gemini extensions config gemini-deep-research`. See references/setup-guide.md for setup instructions.

ClawHub Agent Skills author: Skywalker326 v2.0.0 MIT-0 7 files body ≈ 2 557 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: result and completion, consistency, running it twice

IntegrationInfrastructureAI 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
91/100
safety, quality, tests
Safety 60%
98
Quality 40%
81
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Running it twice w 4
30
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

    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 Exfiltration read-dotenv SKILL.md:91
      Reads a .env file
      export GEMINI_DEEP_RESEARCH_API_KEY=$(cat ~/.gemini/extensions/gemini-deep-research/.env | grep API_KEY | cut -d= -f2)
    • low Dangerous commands cmd-background-process SKILL.md:237
      Starts a background / autostarted process
      nohup bash poll.sh > /dev/null 2>&1 &

    Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 64/100

    • 0Result and completion. Does not say what the result is
    • 30Running it twice. 3 mutating operations with no state check
    • 40Consistency. Frontmatter name (deep-research-via-gemini-cli) differs from the folder (jclaw-gemini-deep-research)
    • 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 7 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Execution cost. Instruction body is 2557 tokens
    • 100Progress reporting. Reports progress
    • low The response is described with custom markup (6 tags): a typed call is more reliable

    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
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • -31 of 4 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 663: enough signal without eating the budget
    • +4Structure: 17 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: suspicious
    This skill mostly does Gemini Deep Research, but it also runs background automation that can message Discord and trigger a NotebookLM podcast workflow without clear upfront consent.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026