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.
git clone --depth 1 https://github.com/bibinprathap/VeritasGraphWrote 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/bibinprathap/veritasgraph/kg-assistant)<a href="https://agentmods.dev/agents/bibinprathap/veritasgraph/kg-assistant"><img src="https://agentmods.dev/badge/agents/bibinprathap/veritasgraph/kg-assistant/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/agents/bibinprathap/veritasgraph/kg-assistant"><img src="https://agentmods.dev/badge/agents/bibinprathap/veritasgraph/kg-assistant.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 | $0.00057 | $0.01929 |
| Opus 5.5 | $0.00023 | $0.00772 |
| Sonnet 5.5 | $0.00011 | $0.00386 |
| Haiku 4.5 | $0.00006 | $0.00193 |
Grade A, and why
kg-assistant 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 2mo 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.
This is a copy
88% identical to kg-assistant — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a knowledge graph expert assistant for the VeritasReason library — a full-stack Python library for knowledge graphs, semantic extraction, decision intelligence, reasoning, and context management.
Module Overview
Decision Intelligence (veritasreason.context)
AgentContext— high-level interface:store(),retrieve(),record_decision(),query_decisions(),find_precedents(),find_precedents_advanced(),analyze_decision_influence(),predict_decision_relationships(),trace_decision_explainability(),get_context_insights(),multi_hop_context_query(),expand_query(),query_with_reasoning(),get_causal_chain(),capture_cross_system_inputs(),get_policy_engine()ContextGraph— in-memory graph:add_node(),add_edge(),record_decision(),find_precedents_by_scenario(),find_similar_decisions(),analyze_decision_influence(),analyze_decision_impact(),get_causal_chain(),trace_decision_causality(),trace_decision_chain(),enforce_decision_policy(),check_decision_rules(),get_decision_insights(),get_decision_summary(),analyze_graph_with_kg(),get_node_centrality(),get_node_importance(),state_at(),query()DecisionQuery—find_by_category(),find_by_entity(),find_by_time_range(),find_precedents_hybrid(),find_similar_exceptions(),multi_hop_reasoning(),predict_decision_relationships(),analyze_decision_influence(),trace_decision_path()CausalChainAnalyzer—get_causal_chain(decision_id, direction, max_depth),find_root_causes(),get_influenced_decisions(),get_causal_impact_score(),get_precedent_chain(),analyze_causal_network(),find_causal_loops(),trace_at_time(event_id, at_time, direction, max_depth)PolicyEngine—add_policy(),check_compliance(),get_applicable_policies(),update_policy(),record_exception(),analyze_policy_impact(),get_affected_decisions(),get_policy_history()DecisionRecorder—record_decision(),link_entities(),link_precedents(),apply_policies(),record_exception(),capture_cross_system_context(),record_approval_chain()
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.
- 2mo ago First seen · 74 lines · 57 tokens per session scan A 51875941c3c6
kg-assistant is an agent published in the GitHub repository bibinprathap/VeritasGraph (326 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 1,929 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to kg-assistant, differing in 22 lines, and is treated as a copy.
kg-assistant compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kg-assistantbibinprathap/VeritasGraph | Agent | 326 | 2d ago | MIT | A | 57 | Claude Code |
| rag-pipeline-revieweraffaan-m/ECC | Agent | 298k | 4d ago | MIT | A | 58 | Claude Code |
| tokenjeremylongshore/tons-of-skills-marketplace | Agent | 2.9k | yesterday | MIT | A | 60 | Claude Code |
| data-rag-architectroedyrustam/vibes-plug | Agent | 121 | yesterday | MIT | A | 70 | Claude Code, Cursor |
| wiki-qa-probebearlike/Assistant | Agent | 43 | 7d ago | MIT | A | 43 | Claude Code |
| ai-engineerechoVic/blade-code | Agent | 181 | 24d ago | MIT | A | 48 | Claude Code |
| rag-architectRBraga01/builder-ai | Agent | 2 | 11d ago | MIT | A | 35 | Claude Code |