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BC theta-edgecloud-skill

Theta EdgeCloud runtime for AI, media, inference, video, GPU, on-demand chat, deployment, and cost-optimization workflows.

ClawHub Agent Skills author: Zeus Labs v0.1.27 MIT-0 31 files body ≈ 3 420 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureMedia and videotype 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
83/100
safety, quality, tests
Safety 60%
92
Quality 40%
69
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token package-lock.json:18
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…asG+Fkr6…2vM+P9eO…k5W+1WL8w==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:42
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…wQp+7C4n…9JQ==",
    detector
  • low Exfiltration read-dotenv README.md:46
    Reads a .env file
    set -a; source ./.env.local; set +a
  • low Exfiltration read-dotenv README.md:93
    Reads a .env file
    set -a; source ./.env.local; set +a
  • low Exfiltration read-dotenv README.md:102
    Reads a .env file
    set -a; source ./.env.local; set +a
  • low Exfiltration read-dotenv README.md:113
    Reads a .env file
    set -a; source ./.env.local; set +a
  • low Exfiltration read-dotenv SKILL.md:169
    Reads a .env file
    set -a; source ./.env.local; set +a
  • low Exfiltration read-dotenv SKILL.md:176
    Reads a .env file
    set -a; source ./.env.local; set +a

Files scanned: 31. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 55/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 33 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 115 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3420 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 18 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
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +3Description length 122: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 115 items
  • +4Has examples (5 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This Theta integration is not malicious, but it needs Review because it can run paid cloud actions and includes under-scoped wallet/RPC key handling.
LLM: suspicious (high) · 1 Sept 2026