Skill audit report
debug-slow-spark-job Audit report.
Diagnose slow, expensive, or regressed Apache Spark and PySpark applications by comparing runtime evidence against a healthy run. Use for long stages, stragglers, skew, shuffle, spill, garbage collection, poor parallelism, small files, slow scans, scheduler delay, executor imbalance, and unexplained compute-cost growth.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
51 GitHub stars
Stars/forks activity
WARN48
51 stars, 13 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
3mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL38
command execution surface, credential or environment access
Install availability
PASS92
npx skills add EmbrasureAI/spark-observability-skills --skill debug-slow-spark-job
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/EmbrasureAI/spark-observability-skills/tree/main/skills/debug-slow-spark-job
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add EmbrasureAI/spark-observability-skills --skill debug-slow-spark-job
Repository
88
https://github.com/EmbrasureAI/spark-observability-skills/tree/main/skills/debug-slow-spark-job
License
86
Apache-2.0
Maintenance
76
3mo since push
AI review
55
SKILL.md says that when SPARK_HISTORY_URL is unset the agent should try localhost:18080/4040 and Spark config before asking the user, but spark_history_api.py only exits with 'Set --base-url or SPARK_HISTORY_URL'. The discovery behavior is described but not implemented in the script, so the agent must manually probe or pass --base-url to match the documented workflow.
README/SKILL.md completeness
86
Usable description available
Dependency risk
38
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
Stars/forks activity
48
51 stars, 13 forks; issue activity unavailable in current metadata
Adoption
68
51 GitHub stars
Warnings
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- SKILL.md says that when SPARK_HISTORY_URL is unset the agent should try localhost:18080/4040 and Spark config before asking the user, but spark_history_api.py only exits with 'Set --base-url or SPARK_HISTORY_URL'. The discovery behavior is described but not implemented in the script, so the agent must manually probe or pass --base-url to match the documented workflow.
- The skill has no explicit Setup/Requirements section. It assumes Python 3, jq, network access to the history server, and the script directory as the working directory. These prerequisites should be stated directly in SKILL.md.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 51 GitHub stars
- Stars/forks activity: 51 stars, 13 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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