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BB zotero-mcp

Search and access Zotero reference library via MCP (Model Context Protocol) server. Use when working with Zotero literature databases, searching papers, getting item details, managing collections, or extracting PDF content and annotations. Requires Zotero running with API enabled (Edit, Preferences, Advanced, Network: Allow other applications to access Zotero).

ClawHub Agent Skills author: YiQian Qian v1.0.0 3 files body ≈ 557 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

As a process B 66/100 · Nearly there — weak spots: result and completion, when it triggers, progress reporting

ReferenceAI 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
B
66/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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 net-credential-use references/examples.md:31
      Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
      curl -s "http://127.0.0.1:23119/api/users/7120115/collections/$COLLECTION_KEY/items" | python3 -c "
      fixture
    • low Exfiltration net-credential-use references/examples.md:41
      Credential used in a network call (verify the destination is the intended service) (test fixture / example file)
      curl -s "http://127.0.0.1:23119/api/items/$ITEM_KEY" | python3 -c "
      fixture

    Files scanned: 3. 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 66/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 557 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
    • -2localhost URLs: will not work for another user
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 363: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 8 items
    • +4Has examples (8 code blocks)

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

    External checks

    ClawHub: clean
    This is a coherent local Zotero helper, but it can expose your Zotero library contents to the agent and depends on a globally installed npm package.
    LLM: benign (medium) · VirusTotal: suspicious · 28 May 2026