Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/madeinoz67/madeinoz-knowledge-systemnpx agentmods add skills/madeinoz67/madeinoz-knowledge-system/add-languageWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/madeinoz67/madeinoz-knowledge-system/add-language)<a href="https://agentmods.dev/skills/madeinoz67/madeinoz-knowledge-system/add-language"><img src="https://agentmods.dev/badge/skills/madeinoz67/madeinoz-knowledge-system/add-language/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/madeinoz67/madeinoz-knowledge-system/add-language"><img src="https://agentmods.dev/badge/skills/madeinoz67/madeinoz-knowledge-system/add-language.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00087 | $0.03632 |
| Opus 5 | $0.00044 | $0.01816 |
| Sonnet 5 | $0.00017 | $0.00726 |
| Haiku 4.5 | $0.00009 | $0.00363 |
Grade A, and why
add-language 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 11d 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 — 491 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Language Implementation Skill
This skill guides you through implementing a new language parser in Codanna following the established six-layer architecture.
When to Use This Skill
- User asks to "add support for [language]"
- User wants to "implement [language] parser"
- User says "create new language implementation"
- User mentions "extend language support"
- User asks about "adding a new programming language"
Prerequisites
Before starting, ensure you have:
- Tree-sitter grammar for the target language
- Understanding of language's scoping rules (local, module, global, etc.)
- Example code files in
examples/[language]/for testing - Documentation references (see below)
Core Documentation References
This skill references three comprehensive documentation files:
- language-architecture.md - Design principles (WHY)
- language-support.md - API contracts (WHAT)
- language-patterns.md - Implementation patterns (HOW)
Quick Start Workflow
Step 1: Setup Tree-sitter Grammar
# Install the grammar for exploration
./contributing/tree-sitter/scripts/setup.sh [language]
# Test parsing example files
tree-sitter parse examples/[language]/comprehensive.[ext]
Step 2: Create Language Directory Structure
# Create the six-file structure
mkdir -p src/parsing/[language]
cd src/parsing/[language]
# Create required files
touch mod.rs definition.rs parser.rs behavior.rs resolution.rs audit.rs
Step 3: Implement Core Traits
Follow this order (dependencies flow downward):
1. definition.rs → LanguageDefinition trait
2. parser.rs → LanguageParser trait (depends on definition)
3. behavior.rs → LanguageBehavior trait (depends on parser)
4. resolution.rs → Custom ResolutionContext (depends on behavior)
5. audit.rs → NodeTrackingState (optional but recommended)
6. mod.rs → Public API and registration
What ships with it
3 files beside SKILL.md 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.
- 11d ago First seen · 491 lines · 87 tokens per session scan A e8a4b2a1e18e
add-language is a skill published in the GitHub repository madeinoz67/madeinoz-knowledge-system (3 stars, last pushed 5mo ago), licensed MIT. It adds 87 tokens to every session and 3,632 once invoked, about $0.0004 per session on Opus 5. 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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