SKILLEMALL.ai
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AC heimdall

Author and run evidence-backed browser and API test plans with honest blocked and non-run semantics. Use when an agent needs to exercise a live web app or API through Playwright/CDP, an isolated Docker browser, or a human-controlled logged-in browser lane.

ClawHub Agent Skills author: Antreas Antoniou v1.0.0 MIT-0 70 files body ≈ 772 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Author and run evidence-backed browser and API test plans with honest blocked and non-run semantics.

As a process C 62/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationDockerPlaywrightInfrastructureAI 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
90/100
safety, quality, tests
Safety 60%
95
Quality 40%
83
Run on models
none yet
Process rating
C
62/100
Has gaps
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token package-lock.json:50
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…RNq/mC+16R1…A0M+/s6ny…wFA==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:123
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…S4F+im88…HRE/cYlx…2oE/ufM0p61IKng==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:174
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…rdY+ziCYCPMmtZjjIwOmXFjmyzEHn+UUxk5of+SYsj…5hY/rOAw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:259
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…NmN+loZK…eAz+famM…vZz+zT1jlh/keC3Rj/lg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:573
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…kni+7p+2IAE…qay/36uRV/bFkg…gzy+Q==",
      detector

    Files scanned: 45. 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 62/100

    • 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
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 4 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 772 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
    • +2Single-language instructions
    • +3Description length 256: enough signal without eating the budget
    • +4Structure: 7 headings
    • +3Step-by-step instructions: 4 items
    • +4Has examples (4 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    This appears to be a legitimate testing tool, but it can use credentials and perform network or file side effects with controls that are too broad for untrusted plans.
    LLM: suspicious (high) · 5 Sept 2026