Chance Dlt Predictor

AdvisoryAudited by Static analysis on May 11, 2026.

Overview

No suspicious patterns detected.

Findings (0)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

A user who copies the README command might install a different skill/package than the one being reviewed.

Why it was flagged

The registry metadata names this skill as chance-dlt-predictor, while the README tells users to install a differently named package. This may be stale documentation, but following it could install something other than the reviewed skill.

Skill content
npx clawhub install @gechengling/lottery-dlt-analyst
Recommendation

Install only from the current registry entry or verified package name, and confirm the owner/slug before running any install command.

What this means

If the user chooses to run the example code, it will execute locally and make an external network request for lottery data.

Why it was flagged

The reference documentation includes runnable Python code that contacts a lottery-history API. This is disclosed and purpose-aligned, and the artifacts do not show automatic execution.

Skill content
本文件包含所有可直接运行的 Python 代码 ... resp = requests.get(url, params=params, headers=headers, timeout=10)
Recommendation

Run the Python examples only if you understand them and are comfortable with the external API request; no credentials appear necessary.

What this means

Users could still spend money based on recommendations that cannot guarantee improved lottery outcomes.

Why it was flagged

The skill offers 'scientific' lottery number recommendations, which could lead users to over-trust statistical analysis for a random gambling activity, although the same artifact includes clear no-guarantee and responsible-gambling disclaimers.

Skill content
帮助彩民科学选号、理性投注 ... Probability reference only — not a prediction guarantee.
Recommendation

Treat outputs as entertainment only, keep strict spending limits, and do not interpret generated numbers as investment advice or a reliable prediction.