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 skills/newjerseystyle/plugin-logic-llm/logic-ingestnpx skills add NewJerseyStyle/plugin-logic-llm --skill logic-ingestgit clone --depth 1 https://github.com/NewJerseyStyle/plugin-logic-llmWrote 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/newjerseystyle/plugin-logic-llm/logic-ingest)<a href="https://agentmods.dev/skills/newjerseystyle/plugin-logic-llm/logic-ingest"><img src="https://agentmods.dev/badge/skills/newjerseystyle/plugin-logic-llm/logic-ingest.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00607 |
| Opus 5 | $0.00000 | $0.00303 |
| Sonnet 5 | $0.00000 | $0.00121 |
| Haiku 4.5 | $0.00000 | $0.00061 |
Grade A, and why
logic-ingest 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 4d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/logic-ingest
Batch ingest documents into the symbolic knowledge base with automatic incremental updates.
Description
This skill processes entire directories of documents, converting them to logic programs and maintaining a coherent, non-redundant knowledge base. It handles incremental updates when new documents are added.
Usage
/logic-ingest [options] <source-directory>
Options
--format <prolog|clingo>- Target format (default: prolog)--output <directory>- Output directory for generated logic programs--domain <name>- Domain name for organizing the knowledge base--watch- Watch for new files and auto-ingest--incremental- Only process new or modified files--merge- Merge all outputs into a single knowledge base file
Examples
/logic-ingest --format prolog --domain legal ./contracts/
/logic-ingest --incremental --watch ./regulations/
/logic-ingest --merge --output ./kb/ ./policies/
Behavior
- Directory Scan: Identify all processable documents
- Change Detection: Compare with previous ingestion state
- Dependency Analysis: Determine processing order based on references
- Batch Conversion: Convert documents using
/logic-convert - Deduplication: Remove redundant predicates and rules
- Consistency Check: Validate the combined knowledge base
- Registry Update: Update registry with all new entries
Document Types Supported
- Plain text (.txt)
- Markdown (.md)
- PDF (requires external tool)
- Legal documents (contracts, regulations, policies)
- Structured data (JSON, YAML) with schema inference
Incremental Updates
When --incremental is used:
- Only new or modified files are processed
- Existing predicates are preserved
- Conflicts are detected and reported
- Registry is updated atomically
Output Structure
output/
├── predicates.pl # All predicate definitions
├── facts/
│ ├── document1.pl # Facts from each document
│ └── document2.pl
├── rules/
│ ├── inferred.pl # Derived rules
│ └── explicit.pl # Explicit rules from documents
├── registry.json # Local registry snapshot
└── manifest.json # Ingestion metadata
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.
- 4d ago First seen · 86 lines · 0 tokens per session scan A e4b76a3b80ed
logic-ingest is a skill published in the GitHub repository NewJerseyStyle/plugin-logic-llm (2 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 607 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 2026-08-31.
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