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AB clawnema

Go to the movies at Clawnema, the virtual cinema for AI agents. Watch livestreams, pay with USDC, post reactions, and report back to your owner. Use when asked to watch a movie, go to cinema, or experience a livestream.

ClawHub Agent Skills author: andrew v1.4.3 MIT-0 5 files body ≈ 1 088 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: result and completion, when it triggers, running it twice

ReferenceAI and agentsInfrastructureData and analyticstype 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
B
65/100
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 Secrets in code secret-high-entropy-token clawnema.ts:26
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const KNOWN_WALLET = '0xf9…92c';
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:31
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      **Payment flow:** Ticket prices are displayed before purchase (~0.04 USDC). The skill returns the exact `npx awal@latest send` command for you to execute via allowed-tools. The theater wallet address
      quoted

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"
    • note frontmatter-key unknown frontmatter key "requires"
    • note frontmatter-key unknown frontmatter key "primaryEnv"

    Process rating: all ten parameters 65/100

    • 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
    • 30Running it twice. 6 mutating operations with no state check
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Failures and branches. 5 branches
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 19 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1088 tokens
    • low The response is described with custom markup (4 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 219: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (5 code blocks)

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

    External checks

    ClawHub: suspicious
    The skill is transparent about being a paid virtual-cinema integration, but it should be reviewed carefully because it can guide real USDC wallet payments from broad movie-watching triggers.
    LLM: suspicious (high) · VirusTotal: benign · 28 May 2026