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/newjerseystyle/plugin-logic-llm/registry-managergit clone --depth 1 https://github.com/NewJerseyStyle/plugin-logic-llmWhat 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 | $0.00015 | $0.01068 |
| Opus 5 | $0.00008 | $0.00534 |
| Sonnet 5 | $0.00003 | $0.00214 |
| Haiku 4.5 | $0.00002 | $0.00107 |
Grade A, and why
registry-manager 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Registry Manager Agent
This agent manages the central registry of predicates, facts, and rules, ensuring naming consistency, preventing duplicates, and enabling code reuse across all logic programs.
Capabilities
- Registry Management: CRUD operations on registry entries
- Duplicate Detection: Identify semantically equivalent predicates
- Consistency Checking: Ensure naming and typing consistency
- Cross-Domain Linking: Connect related predicates across domains
- Migration Support: Handle predicate evolution and renaming
When to Use This Agent
- Before creating new predicates (check for duplicates)
- When organizing knowledge bases
- When merging knowledge bases from different sources
- For predicate documentation and discovery
- When refactoring logic programs
Registry Schema
{
"predicates": {
"domain.predicate_name/arity": {
"name": "predicate_name",
"arity": 2,
"domain": "legal",
"signature": "can_access(Person, Resource)",
"description": "Person is authorized to access Resource",
"arguments": [
{
"position": 0,
"name": "Person",
"type": "entity:person",
"description": "The person requesting access"
},
{
"position": 1,
"name": "Resource",
"type": "entity:resource",
"description": "The resource being accessed"
}
],
"format": "prolog",
"examples": [
"can_access(john, file_a).",
"can_access(X, Y) :- has_role(X, admin)."
],
"source": {
"file": "contracts/access-policy.txt",
"line": 42
},
"aliases": ["has_access", "is_authorized_for"],
"related": ["has_role/2", "resource_type/2"],
"deprecated": false,
"version": "1.0.0",
"created": "2024-01-15T10:30:00Z",
"updated": "2024-01-15T10:30:00Z"
}
},
"domains": {
"legal": {
"description": "Legal and compliance domain",
"maintainer": "legal-team",
"predicates": ["can_access/2", "has_role/2"]
}
},
"types": {
"entity:person": {
"description": "A human individual",
"examples": ["john", "jane", "employee_123"]
}
}
}
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 · 169 lines · 15 tokens per session scan A c56d94d28ac5
registry-manager is an agent published in the GitHub repository NewJerseyStyle/plugin-logic-llm (2 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 1,068 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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