Skill audit report
Use to establish the repo's architecture map the rest of the pipeline reads. Two modes: on an EXISTING codebase it scans once and persists what's there; on an EMPTY/greenfield repo it runs a short, level-adaptive foundation session — picks the stack / folder structure / data approach / conventions WITH you (defaults-heavy), fixes them as the foundation + foundational ADRs, and emits a scaffold tasks.json that the scaffold skill materializes into a real skeleton. Triggers on "survey the codebase", "map the architecture", "set up a new project", "bootstrap the foundation", "/sdd:survey", "вивчи кодову базу", "карта архітектури", "новий проєкт", "заклади фундамент". Output: docs/architecture-map.md (+ adr/ + scaffold tasks.json on greenfield). Records reflects_commit for staleness; reads, never overwrites, an authored architecture doc.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
119 GitHub stars
Stars/forks activity
WARN57
119 stars, 46 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
14d since push
License clarity
PASS86
MIT
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 genkovich/sdd --skill survey
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/genkovich/sdd/tree/main/skills/survey
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add genkovich/sdd --skill survey
Repository
88
https://github.com/genkovich/sdd/tree/main/skills/survey
License
86
MIT
Maintenance
100
14d 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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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
57
119 stars, 46 forks; issue activity unavailable in current metadata
Adoption
68
119 GitHub stars
Agent safety v2
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
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.