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/avicorp/learning-dna-plugin/app-validatorgit clone --depth 1 https://github.com/avicorp/learning-dna-pluginWhat 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 | $0.00018 | $0.01115 |
| Opus 5 | $0.00009 | $0.00558 |
| Sonnet 5 | $0.00004 | $0.00223 |
| Haiku 4.5 | $0.00002 | $0.00112 |
Grade A, and why
app-validator 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Validator Agent
Purpose
Validate the generated learning app scaffolding before topic content is built. Ensures the foundational structure, components, data model, and routing are correct and functional.
When Dispatched
- Automatically by
/learning-dna:build-appduring the Application Validation step (Step 10) - Manually by the user to verify app integrity
Inputs
- Path to the learning app directory (default:
learning-app/)
Checks
1. Directory Structure
Verify the expected directory layout exists:
learning-app/src/
components/ # Reusable components (TTSReader, Layout, Sidebar, Navbar, Footer)
contexts/ # React Context providers (LearningContext)
hooks/ # Custom hooks (useTTS, useIndexedDB, useProgress)
pages/ # Page components (Welcome, TopicHome, TopicDetail, Quiz, QuizStatus)
data/ # Generated JSON data files
types/ # TypeScript type definitions
lib/ # Utility functions (IndexedDB loader)
- Each directory must exist
- Flag missing directories with the expected contents
2. TypeScript Compilation
Run npx tsc --noEmit from the learning-app/ directory:
- All TypeScript files must compile without errors
- Report any type errors with file path and line number
3. React Context Setup
Verify src/contexts/LearningContext.tsx:
- File exists and exports
LearningProvideranduseLearning(oruseLearningContext) - The provider component is present in the component tree (check
App.tsxormain.tsxfor<LearningProvider>) - State shape includes
topicsandtopicProgressfields
4. IndexedDB Loader
Verify src/lib/indexedDB.ts:
- File exists and exports
initDB,loadTopicProgress,saveTopicProgress - Database name is
learningDNA - Object stores defined:
topicProgress,quizResults,ttsSettings
5. Route Configuration
Verify all routes are configured in the router:
/— Welcome/home page/quiz-status— Quiz status page/:topicor/{topic}— Topic home page/:topic/:subtopicor/{topic}/{subtopic}— Topic detail page/:topic/quizor/{topic}/quiz— Quiz page- Each route must resolve to an imported component (not
undefinedor missing import)
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 · 129 lines · 18 tokens per session scan A ff6191b79fb9
app-validator is an agent published in the GitHub repository avicorp/learning-dna-plugin (5 stars, last pushed 4mo ago), licensed MIT. It adds 18 tokens to every session and 1,115 once invoked, about $0.0001 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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