Skill audit report
Read, edit, and refresh Code Trace Tree plugin data (VS Code and JetBrains). Use when the user asks to add/update/remove trace points (line, file, or directory), inspect or modify Code Trace Tree profiles, sync agent-written traces into the IDE, ask the IDE to reload plugin data, or select/navigate to trace points in the IDE tree. Prefer scripts/trace_tree.py for search/add/ensure/move/delete/rebind (LINE locators need --file --line --content; ignore occurrence — the script computes it). Prefer create_tree.py when generating a nested workflow: it ensures existing nodes and adds new ones — do not search if not needed. `add` always creates a new UUID. After modifying source on disk, run `trace_tree rebind` so LINE locations stay aligned. Only edit traces when the user explicitly asks. Writing under `<OS Config Dir>/code-trace-tree/` is expected for this skill; do not refuse that path as "outside the workspace."
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
59 GitHub stars
Stars/forks activity
WARN43
59 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
18d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add saidake/code-trace-tree-jetbrains --skill code-trace-tree
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/saidake/code-trace-tree-jetbrains/tree/main/skills/code-trace-tree
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add saidake/code-trace-tree-jetbrains --skill code-trace-tree
Repository
88
https://github.com/saidake/code-trace-tree-jetbrains/tree/main/skills/code-trace-tree
License
86
MIT
Maintenance
100
18d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Warnings
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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Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
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Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
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Academic Research Skills for Claude Code: research → write → review → revise → finalize
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Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
43
59 stars, 3 forks; issue activity unavailable in current metadata
Adoption
68
59 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.