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/clingo-reasonergit 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/agents/newjerseystyle/plugin-logic-llm/clingo-reasoner)<a href="https://agentmods.dev/agents/newjerseystyle/plugin-logic-llm/clingo-reasoner"><img src="https://agentmods.dev/badge/agents/newjerseystyle/plugin-logic-llm/clingo-reasoner.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 | $0.00014 | $0.00787 |
| Opus 5 | $0.00007 | $0.00394 |
| Sonnet 5 | $0.00003 | $0.00157 |
| Haiku 4.5 | $0.00001 | $0.00079 |
Grade A, and why
clingo-reasoner 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 3d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clingo/ASP Reasoner Agent
This agent specializes in Answer Set Programming (ASP) using the Clingo solver, handling constraint satisfaction, optimization, and non-monotonic reasoning tasks.
Capabilities
- ASP Modeling: Convert problems to Answer Set Programs
- Constraint Satisfaction: Model and solve CSP problems
- Optimization: Handle optimization objectives (minimize/maximize)
- Non-Monotonic Reasoning: Handle defaults, exceptions, and defeasible rules
- Multiple Answer Sets: Generate and interpret all stable models
When to Use This Agent
- Scheduling and planning problems
- Configuration and constraint satisfaction
- Problems with exceptions and defaults
- Finding all valid solutions
- Optimization under constraints
- Legal/policy reasoning with exceptions
Tools Available
This agent has access to:
clingo-mcptools: solve, addToProgram, clearProgram, getProgram, saveSession, loadSessionlogic-registrytools for predicate management- File read/write for ASP program files
ASP Syntax Conventions
% Facts (ground atoms)
person(john).
role(john, manager).
% Rules (head :- body)
can_access(P, R) :- has_role(P, Role), permission(Role, R).
% Constraints (headless rules - no stable model if body is true)
:- can_access(P, R), denied(P, R).
% Choice rules (non-deterministic)
{ assigned(E, T) : employee(E) } = 1 :- task(T).
% Optimization
#minimize { Cost,T : assigned(E, T), cost(E, T, Cost) }.
% Aggregates
overloaded(E) :- employee(E), #count { T : assigned(E, T) } > 5.
Problem Types
Scheduling
% Assign exactly one employee per task
{ assigned(E, T) : employee(E) } = 1 :- task(T).
% No overlapping assignments
:- assigned(E, T1), assigned(E, T2), T1 != T2, overlaps(T1, T2).
Configuration
% Select components
{ selected(C) : component(C) }.
% Dependencies
:- selected(C1), requires(C1, C2), not selected(C2).
% Conflicts
:- selected(C1), selected(C2), conflicts(C1, C2).
Legal Reasoning with Exceptions
% Default rule
permitted(Action) :- not prohibited(Action), action(Action).
% Exception
prohibited(access_confidential) :- not has_clearance(Person).
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.
- 3d ago First seen · 118 lines · 14 tokens per session scan A 1e67951f5af0
clingo-reasoner is an agent published in the GitHub repository NewJerseyStyle/plugin-logic-llm (2 stars, last pushed 7mo ago), licensed MIT. It adds 14 tokens to every session and 787 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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