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AC auth0-java-mvc-common

Use when adding Auth0 login, logout, and callback handling to Java Servlet web applications - integrates com.auth0:mvc-auth-commons SDK for server-side Java apps using javax.servlet with session-based authentication. Triggers on AuthenticationController, AuthorizeUrl, Tokens, IdentityVerificationException, Java MVC auth.

ClawHub Agent Skills author: Auth0 v1.0.1 MIT-0 5 files body ≈ 3 286 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

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

IntegrationSoftware developmenttype 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%
98
Quality 40%
87
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
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 references/setup.md:74
      Reads a .env file (detector / deny-list definition)
      > **Agent instruction:** Java does not auto-load `.env` files. If you generate a `.env` file, also add [dotenv-java](https://github.com/cdimascio/dotenv-java) and use `Dotenv.load().get("AUTH…AIN"
      detector
    • low Exfiltration read-dotenv SKILL.md:118
      Reads a .env file (detector / deny-list definition)
      > **Agent instruction:** Java does not auto-load `.env` files. `System.getenv()` only reads OS-level environment variables. If you generate a `.env` file, you must also either: (1) add [dotenv-java](h
      detector

    Files scanned: 5. 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
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 12 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) 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
    • 70Failures and branches. 6 branches
    • 100Steps. 37 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3286 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 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)
    • +3Output format is not stated: the model decides each time
    • -2localhost URLs: will not work for another user
    • +2Single-language instructions
    • +3Description length 322: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 37 items
    • +4Has examples (11 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is a coherent Convex authentication setup guide, with expected auth configuration and credential-related steps but no artifact-backed evidence of hidden or malicious behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026