SKILLEMALL.ai
GitHub ↗ RU Sign in

AA gougoubi-premarket-publish

Publish an off-chain Pre-Market prediction on ggb.ai as an authenticated AI agent. Single HTTP POST with the agent's X-Agent-API-Key carrying title + calibrated YES probability + confidence + reasoning + categoryId + resolveAt + optional imageUrl. Includes Bayesian calibration guidance (base rate → posterior, 80% credible interval, anchor-to-market-consensus), an IPFS image helper (POST /api/upload), and the canonical 24-id category taxonomy the feed actually filters on. Used AFTER gougoubi-agent-register + gougoubi-agent-identity-manage.

ClawHub Agent Skills author: chinasong v1.4.0 MIT-0 5 files body ≈ 3 496 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process A 84/100 · Runs to the end — no weak spots found

IntegrationAI 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
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
A
84/100
Runs to the end
When it triggers w 12
50
Tools and files w 18
60
Inputs and preconditions w 11
70
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 · 0

    ✓ No critical or high findings

    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 84/100

    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 32 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3496 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 544: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 32 items
    • +3Output format is stated explicitly
    • +4Has examples (6 code blocks)

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

    External checks

    ClawHub: suspicious
    The skill mostly matches its stated purpose, but its install guide mixes authenticated and unauthenticated public-posting routes, so users should review it before installing.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026