debug-runs
debug-runs is a Runtime diagnostics & profiling skill for AI agents, published by SemiAnalysisAI in the InferenceX repository on GitHub. Skillspace rates debug-runs F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Drive a full-sweep benchmark config to green with a tight feedback loop by triggering and monitoring the sweep, finding the root causes of failures, and, for fast iteration, using SSH to reproduce a single config directly on the runner's cluster instead of waiting for full CI. Use when bringing up a new model, precision, or SKU recipe, debugging a failing or flaky sweep, debugging node-level issues, or gathering context on a cluster before a run. Cluster access details are not in this repo and must be read from the shared InferenceX Clusters canvas.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 1,670
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Not declared. Check the repository before reusing it.
What the scanner flagged
- accesses sensitive system files
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.