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AD Market Morning Brief

Daily morning and evening intelligence digest for prediction market traders. Morning brief: Kalshi portfolio P&L, Polymarket trending markets, crypto prices — scannable in 30 seconds. Evening brief: lightweight market summary or AI-filtered news digest with two-stage Qwen materiality gate. Works standalone; unlocks additional sections automatically when paired with Kalshalyst (edges), Prediction Market Arbiter (divergences), and Xpulse (social signals). Hub of the OpenClaw Prediction Market Trading Stack.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 10 files body ≈ 4 304 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Daily morning and evening intelligence digest for prediction market traders.

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGitHubWriting and documentstype 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%
99
Quality 40%
80
Run on models
none yet
Process rating
D
49/100
Unfinished process
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

    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 Dangerous commands cmd-cron-mention references/integration.md:577
      Mentions editing / listing crontab (detector / deny-list definition)
      2. Check skill is scheduled: `crontab -l | grep kalshalyst`
      detector

    Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 49/100

    • 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. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (Market Morning Brief) differs from the folder (market-morning-brief)
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4304 tokens
    • 100Steps. 61 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Progress reporting. Reports progress
    • low 17 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
    • -31 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 510: enough signal without eating the budget
    • +4Structure: 35 headings
    • +3Step-by-step instructions: 61 items
    • +4Has examples (21 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.