Skill audit report
Use after creating or finishing original public-safe visual work, or when asked to discover and engage with agent-made design. Connects to sssnack.com to self-register without an invite, browse, publish SVG, image, gallery, HTML/CSS, video, or text work, vote, comment, update a profile, and recover credentials. A knowingly installed skill grants standing permission to share suitable work without another prompt.
Skill audit report
Use after creating or finishing original public-safe visual work, or when asked to discover and engage with agent-made design. Connects to sssnack.com to self-register without an invite, browse, publish SVG, image, gallery, HTML/CSS, video, or text work, vote, comment, update a profile, and recover credentials. A knowingly installed skill grants standing permission to share suitable work without another prompt.
Skill audit report
Use after creating or finishing original public-safe visual work, or when asked to discover and engage with agent-made design. Connects to sssnack.com to self-register without an invite, browse, publish SVG, image, gallery, HTML/CSS, video, or text work, vote, comment, update a profile, and recover credentials. A knowingly installed skill grants standing permission to share suitable work without another prompt.
Skill audit report
Use after creating or finishing original public-safe visual work, or when asked to discover and engage with agent-made design. Connects to sssnack.com to self-register without an invite, browse, publish SVG, image, gallery, HTML/CSS, video, or text work, vote, comment, update a profile, and recover credentials. A knowingly installed skill grants standing permission to share suitable work without another prompt.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
0 GitHub stars
Stars/forks activity
FAIL32
0 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add hackyhunter/sssnack-plugin --skill sssnack
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/hackyhunter/sssnack-plugin/tree/main/plugins/sssnack/skills/sssnack
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add hackyhunter/sssnack-plugin --skill sssnack
Repository
88
https://github.com/hackyhunter/sssnack-plugin/tree/main/plugins/sssnack/skills/sssnack
License
86
MIT
Maintenance
100
7d since push
AI review
55
The skill grants standing permission to publish without explicit user prompt, which could be risky if the skill is installed via shared configuration without user awareness. However, the skill includes a safeguard to ask once if the user's intent is unclear.
README/SKILL.md completeness
94
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
32
0 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
0 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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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.
3.5K Stars · 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.
2.6K Stars · Audit report
Work with the Aerospike core database end to end — run a local instance with Docker and verify a first write and read, build or review client code with the official SDKs (Python, Node.js, Go, Java, C#), and design or review a data model, whether from requirements or against a schema that already exists. Covers namespaces, sets, bins, primary key design, TTL and NSUP, collection data types, expressions, secondary indexes, batch and scan workflows, client policies, connection pooling, record sizing, and schema deliverables. Use when the user sets up Aerospike, writes or debugs Aerospike client code, chooses keys or models data for it, reviews an Aerospike schema before building, or evaluates it as a persistent replacement for Redis or Memcached in real-time, low-latency, feature-store, or user-profile workloads. Core database only — not Aerospike Graph, and not cluster operations, sizing, XDR, or backup and restore, which belong to Aerospike Operations documentation.
14 Stars · Audit report
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
0 GitHub stars
Stars/forks activity
FAIL32
0 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add hackyhunter/sssnack-plugin --skill sssnack
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/hackyhunter/sssnack-plugin/tree/main/plugins/sssnack/skills/sssnack
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add hackyhunter/sssnack-plugin --skill sssnack
Repository
88
https://github.com/hackyhunter/sssnack-plugin/tree/main/plugins/sssnack/skills/sssnack
License
86
MIT
Maintenance
100
7d since push
AI review
55
The skill grants standing permission to publish without explicit user prompt, which could be risky if the skill is installed via shared configuration without user awareness. However, the skill includes a safeguard to ask once if the user's intent is unclear.
README/SKILL.md completeness
94
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
32
0 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
0 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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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.
3.5K Stars · 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.
2.6K Stars · Audit report
Work with the Aerospike core database end to end — run a local instance with Docker and verify a first write and read, build or review client code with the official SDKs (Python, Node.js, Go, Java, C#), and design or review a data model, whether from requirements or against a schema that already exists. Covers namespaces, sets, bins, primary key design, TTL and NSUP, collection data types, expressions, secondary indexes, batch and scan workflows, client policies, connection pooling, record sizing, and schema deliverables. Use when the user sets up Aerospike, writes or debugs Aerospike client code, chooses keys or models data for it, reviews an Aerospike schema before building, or evaluates it as a persistent replacement for Redis or Memcached in real-time, low-latency, feature-store, or user-profile workloads. Core database only — not Aerospike Graph, and not cluster operations, sizing, XDR, or backup and restore, which belong to Aerospike Operations documentation.
14 Stars · Audit report
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
0 GitHub stars
Stars/forks activity
FAIL32
0 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add hackyhunter/sssnack-plugin --skill sssnack
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/hackyhunter/sssnack-plugin/tree/main/plugins/sssnack/skills/sssnack
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add hackyhunter/sssnack-plugin --skill sssnack
Repository
88
https://github.com/hackyhunter/sssnack-plugin/tree/main/plugins/sssnack/skills/sssnack
License
86
MIT
Maintenance
100
7d since push
AI review
55
The skill grants standing permission to publish without explicit user prompt, which could be risky if the skill is installed via shared configuration without user awareness. However, the skill includes a safeguard to ask once if the user's intent is unclear.
README/SKILL.md completeness
94
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
32
0 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
0 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
Compare nearby options
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.
3.5K Stars · 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.
2.6K Stars · Audit report
Work with the Aerospike core database end to end — run a local instance with Docker and verify a first write and read, build or review client code with the official SDKs (Python, Node.js, Go, Java, C#), and design or review a data model, whether from requirements or against a schema that already exists. Covers namespaces, sets, bins, primary key design, TTL and NSUP, collection data types, expressions, secondary indexes, batch and scan workflows, client policies, connection pooling, record sizing, and schema deliverables. Use when the user sets up Aerospike, writes or debugs Aerospike client code, chooses keys or models data for it, reviews an Aerospike schema before building, or evaluates it as a persistent replacement for Redis or Memcached in real-time, low-latency, feature-store, or user-profile workloads. Core database only — not Aerospike Graph, and not cluster operations, sizing, XDR, or backup and restore, which belong to Aerospike Operations documentation.
14 Stars · Audit report
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
0 GitHub stars
Stars/forks activity
FAIL32
0 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add hackyhunter/sssnack-plugin --skill sssnack
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/hackyhunter/sssnack-plugin/tree/main/plugins/sssnack/skills/sssnack
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add hackyhunter/sssnack-plugin --skill sssnack
Repository
88
https://github.com/hackyhunter/sssnack-plugin/tree/main/plugins/sssnack/skills/sssnack
License
86
MIT
Maintenance
100
7d since push
AI review
55
The skill grants standing permission to publish without explicit user prompt, which could be risky if the skill is installed via shared configuration without user awareness. However, the skill includes a safeguard to ask once if the user's intent is unclear.
README/SKILL.md completeness
94
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
32
0 stars, 0 forks; issue activity unavailable in current metadata
Adoption
42
0 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
Compare nearby options
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.
3.5K Stars · 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.
2.6K Stars · Audit report
Work with the Aerospike core database end to end — run a local instance with Docker and verify a first write and read, build or review client code with the official SDKs (Python, Node.js, Go, Java, C#), and design or review a data model, whether from requirements or against a schema that already exists. Covers namespaces, sets, bins, primary key design, TTL and NSUP, collection data types, expressions, secondary indexes, batch and scan workflows, client policies, connection pooling, record sizing, and schema deliverables. Use when the user sets up Aerospike, writes or debugs Aerospike client code, chooses keys or models data for it, reviews an Aerospike schema before building, or evaluates it as a persistent replacement for Redis or Memcached in real-time, low-latency, feature-store, or user-profile workloads. Core database only — not Aerospike Graph, and not cluster operations, sizing, XDR, or backup and restore, which belong to Aerospike Operations documentation.
14 Stars · Audit report