Crypto Self-Learning

ReviewAudited by ClawScan on May 10, 2026.

Overview

This looks like a local trade journaling and analysis skill, but it stores trading history and can persist generated rules into agent memory, so review changes before relying on them.

This skill appears safe to use as a local trade log and analysis tool. Before installing, be aware that it keeps financial trading records in local JSON files and can write learned rules into agent memory; preview memory updates with --dry-run and do not rely on its rules as financial advice.

Findings (3)

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

Incorrect, stale, or overfit trade history could become persistent guidance and bias future crypto-trading recommendations.

Why it was flagged

The script can write generated trading rules into an existing agent memory file chosen by path, creating persistent context that future agent sessions may use.

Skill content
parser.add_argument("--memory-path", required=True, help="Path to MEMORY.md") ... with open(memory_path, "w") as f: f.write(new_content)
Recommendation

Use --dry-run first, review the generated rules and trade history, back up MEMORY.md, and only write to the intended memory file.

What this means

The advertised weekly review command may fail, or a user might be tempted to obtain and run an unreviewed helper from elsewhere.

Why it was flagged

The documentation instructs users to run a weekly_review.py helper, but that file is not present in the supplied manifest or file contents.

Skill content
python3 {baseDir}/scripts/weekly_review.py
Recommendation

Do not run missing helper scripts from outside the package unless they are reviewed; the maintainer should include the file or remove the command.

What this means

A user or agent may apply learned rules too rigidly and make poor trading decisions based on limited or non-representative data.

Why it was flagged

The wording encourages strong reliance on generated rules in a financially sensitive trading context.

Skill content
Trust the data - If data says avoid something, AVOID IT
Recommendation

Treat the output as journaling and analysis, not guaranteed financial advice; require human review before making trades.