ghostscope-runtime-analysis

ghostscope-runtime-analysis is a Runtime diagnostics & profiling skill for AI agents, published by swananan in the ghostscope repository on GitHub. Skillspace rates ghostscope-runtime-analysis F (15/100) and the safety scan rated it unsafe; the rating is based on static analysis only.

Explain GhostScope and turn the project docs into concrete tracing commands, trace scripts, privilege setup, and issue-report workflows for source-aware runtime analysis. Use when the user asks how to install GhostScope, provide source tree and DWARF inputs, handle eBPF privileges, attach to a PID or binary, choose between `-p` and `-t`, inspect variables or source-aware call stacks, write GhostScope trace scripts, use Input Mode commands, work through container or PID-namespace CLI scenarios, or triage GhostScope failures, crashes, and GitHub issue reports.

Grade
F
Quality
15 / 100
Safety
Unsafe
GitHub stars
187

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
96 / 100
Maturity
Structured: ships references or scripts
Security scan
Critical-risk patterns
License
GPL-3.0
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • pipe remote script to shell

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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