Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
/plugin marketplace add dbinky/dbinky-skill-setnpx agentmods add plugins/dbinky/dbinky-skill-set/marketplacegit clone --depth 1 https://github.com/dbinky/dbinky-skill-setGrade A, and why
dbinky-skill-set scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "dbinky-skill-set",
"owner": {
"name": "Dbinky",
"email": ""
},
"metadata": {
"description": "Dbinky's skill set for Claude Code"
},
"plugins": [
{
"name": "pr-review",
"source": "./",
"description": "Multi-persona PR review pipeline with sequential AI agent personas.",
"version": "1.0.0",
"skills": [
"./skills/pr-review"
]
},
{
"name": "ralph-plan",
"source": "./",
"description": "Automate ralph loop setup from branch changes or user-specified scope.",
"version": "1.0.1",
"skills": [
"./skills/ralph-plan"
]
},
{
"name": "plan-to-ralph",
"source": "./",
"description": "Interactive Q&A to generate ralph-o-matic loop files customized for your project.",
"version": "1.0.1",
"skills": [
"./skills/plan-to-ralph"
]
},
{
"name": "feature-pipeline",
"source": "./",
"description": "End-to-end feature automation — interactive brainstorm for spec and design, then automated alignment, planning, implementation, ralph refinement loop, and PR review.",
"version": "1.0.0",
"skills": [
"./skills/feature-pipeline"
]
},
{
"name": "auto-ralph-prep",
"source": "./",
"description": "Automatically generate ralph loop files (RALPH.md, focus-areas.md, gaps-identified.md) from spec and design docs without interactive Q&A.",
"version": "1.0.1",
"skills": [
"./skills/auto-ralph-prep"
]
},
{
"name": "auto-ralph-submit",
"source": "./",
"description": "Non-interactive submission to ralph-o-matic with sensible defaults — pre-flight checks, auto-commit, auto-push, and Teams notification.",
"version": "1.0.0",
"skills": [
"./skills/auto-ralph-submit"
]
},
{
"name": "spec-to-design",
"source": "./",
"description": "Automated pipeline fromWhat ships with it
1 file beside marketplace.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 85 lines scan A 45d35c71def5
dbinky-skill-set is a plugin published in the GitHub repository dbinky/dbinky-skill-set (5 stars, last pushed 2mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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