Skill audit report
Analyze technology announcements to surface non-obvious strategic implications using Verbalized Sampling. Works against any context: a business, product, codebase, feature branch, personal project, career, or exploratory domain. Use when a new technology, feature, or capability is announced and you want to understand what new outcomes, affordances, and competitive levers it creates — beyond the obvious hot takes. Triggers on: "analyze this announcement", "what does this mean for us", "tech sensemaking", "new feature dropped", "what can we do with this", "sensemaking on this", "strategic implications of", or any request to evaluate a technology change strategically. Category: Product Strategy
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
103 GitHub stars
Stars/forks activity
WARN51
103 stars, 8 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
26d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add gnurio/nurijanian-skills --skill tech-sensemaking
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN46
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/gnurio/nurijanian-skills/tree/main/skills/tech-sensemaking
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add gnurio/nurijanian-skills --skill tech-sensemaking
Repository
88
https://github.com/gnurio/nurijanian-skills/tree/main/skills/tech-sensemaking
License
86
MIT
Maintenance
100
26d 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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Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
46
secrets or environment access, filesystem or document access
Stars/forks activity
51
103 stars, 8 forks; issue activity unavailable in current metadata
Adoption
68
103 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
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.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.