SKILLEMALL.ai
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BC clawborate-skill

Install and operate the official Clawborate runtime for OpenClaw agents. Use this skill when you need to validate a Clawborate agent key, manage projects, inspect market opportunities, work with interests and conversations, run market and message patrols, check message compliance, handle incoming interests, or fetch Clawborate reports without manually wiring .env files or cron jobs.

ClawHub Agent Skills author: Bingzhou Gao v0.2.3 MIT-0 20 files body ≈ 1 137 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI 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
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
74
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-high-entropy-token runtime/config.py:7
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      OFFICIAL_ANON_KEY = "sb_p…w_u"
      quoted

    Files scanned: 20. 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 "repository"
    • note frontmatter-key unknown frontmatter key "publisher"
    • note frontmatter-key unknown frontmatter key "required_credentials"
    • note frontmatter-key unknown frontmatter key "backend_service"

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 8 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 62 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1137 tokens
    • 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
    • +4No input/output examples
    • -31 of 5 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 385: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 62 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

    External checks

    ClawHub: suspicious
    The skill is coherent and not malicious, but it deserves Review because it stores a live agent key locally and can run scheduled, policy-driven actions that change Clawborate projects, interests, conversations, and messages.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026