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.
npx agentmods add agents/monkilabs/opencastle/skill-matrixgit clone --depth 1 https://github.com/monkilabs/opencastleWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.01463 |
| Opus 5 | $0.00000 | $0.00732 |
| Sonnet 5 | $0.00000 | $0.00293 |
| Haiku 4.5 | $0.00000 | $0.00146 |
Grade A, and why
skill-matrix 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Matrix
Maps abstract technology capabilities to concrete skill implementations. The matrix distinguishes two types of skills:
- Binding slots — Plugin-driven, technology-specific skills resolved at runtime (e.g.,
database→supabase-database). These change when the tech stack changes. - Core skills — Hardcoded, stack-agnostic skills referenced directly in agent files (e.g.,
validation-gates,security-hardening,performance-optimization). These are always available regardless of plugins.
Data File
The machine-readable bindings are in skill-matrix.json. The CLI (opencastle init and opencastle sync) reads and writes this file directly. Agents should read the JSON to resolve capability slots.
How It Works
Agent file skill-matrix.json Skill file
┌──────────────┐ ┌──────────────┐ ┌──────────────┐
│ Developer │ │ "framework": │ │ nextjs- │
│ needs: │──lookup──▶│ entries: [ │──load────▶│ framework │
│ framework │ │ {name, │ │ │
│ │ │ skill} │ │ │
│ │ │ ] │ │ │
└──────────────┘ └──────────────┘ └──────────────┘
- Agents declare which capability slots they need (e.g.,
framework,database) skill-matrix.jsonmaps each slot to one or more technologies and their skill files- When delegating, resolve slots through the JSON to load the correct skill(s)
- To switch tech, update only the binding entries — no agent files change
Multiple Technologies Per Slot
A slot can have multiple entries. For example, a project using both Supabase and Prisma:
"database": {
"entries": [
{ "name": "Supabase", "skill": "supabase-database" },
{ "name": "Prisma", "skill": "prisma-database" }
],
"description": "Schema, migrations, auth flow, roles"
}
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 · 112 lines · 0 tokens per session scan A 5a6ce4198b50
skill-matrix is an agent published in the GitHub repository monkilabs/opencastle (61 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,463 tokens. 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 2026-08-30.
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