debug-algorithm
debug-algorithm is a Root-cause investigation skill for AI agents, published by QuantConnect in the Documentation repository on GitHub. Skillspace rates debug-algorithm D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnoses QuantConnect Python (.py) and C# (.cs) algorithm failures: runtime exceptions and zero-trade backtests. Invoked by other agents the moment an algorithm throws a runtime error or completes a backtest with 0 orders. Walks an ordered checklist to the root cause without hiding it. Trigger phrases: "runtime error", "stack trace", "0 orders", "no trades", "flat equity curve", "unknown property", "AttributeError", "KeyNotFoundException", "wasn't found in the DataDictionary", "insufficient buying power", "indicator not ready", "debug the algorithm".
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 257
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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