Skill audit report
formulate-abstractions Audit report.
Formulate clear semantic abstractions from desired behavior before committing to implementation. Use when designing or revising terminology, entities, boundaries, responsibilities, relationships, high-level architecture, or a plan whose foundational shapes are unclear, disputed, or constrained by the current implementation.
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
PASS86
2.6K GitHub stars
Stars/forks activity
INFO77
2.6K stars, 191 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS84
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add magnitudedev/magnitude --skill formulate-abstractions
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/magnitudedev/magnitude/tree/main/.agents/skills/formulate-abstractions
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 magnitudedev/magnitude --skill formulate-abstractions
Repository
88
https://github.com/magnitudedev/magnitude/tree/main/.agents/skills/formulate-abstractions
License
86
Apache-2.0
Maintenance
88
1mo since push
AI review
55
SKILL.md does not explicitly define input/output artifacts or success criteria for each phase, so an agent may not know when the skill has been fully applied.
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
88
database access
Stars/forks activity
77
2.6K stars, 191 forks; issue activity unavailable in current metadata
Adoption
88
2.6K GitHub stars
Warnings
- SKILL.md does not explicitly define input/output artifacts or success criteria for each phase, so an agent may not know when the skill has been fully applied.
- The skill lacks a dedicated limitations section, such as when to stop abstracting or when the process is unnecessary.
- No concrete example or template is provided to illustrate the expected semantic-level output.
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.
Compare nearby options
Related skills to audit next
analysis-graphing
RenoDX workflow for creating readable analysis graphs and plots from shader math, CSVs, EXRs, LUTs, hue sweeps, tone curves, gamut comparisons, energy/scalar maps, and test-pattern statistics. Use when graphing, plotting, visualizing, comparing curves, making dark-theme matplotlib figures, or avoiding repeated one-off plot scripts.
3.8K Stars · Audit report
codebase-design
Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
273K Stars · Audit report
holo-card-studio
Generate interactive 3D holographic collectible-card websites from a user description or reference image, using layered artwork, Blender and Three.js. Includes project-local Blender installation, reusable parallax materials and browser verification.
720 Stars · Audit report