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/dds-solutions/ai-tadpole-os/nexus-engineergit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/nexus-engineer)<a href="https://agentmods.dev/agents/dds-solutions/ai-tadpole-os/nexus-engineer"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/nexus-engineer.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 5.1 | $0.00042 | $0.00912 |
| Opus 5 | $0.00021 | $0.00456 |
| Sonnet 5 | $0.00008 | $0.00182 |
| Haiku 4.5 | $0.00004 | $0.00091 |
Grade A, and why
nexus-engineer 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 6d 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 — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Specialist Agent Profiles / nexus-engineer
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Ignoring symbol graph blast radius, allowing Split-Brain memory leakage, or neglecting AI Context Alignment checks.
- Observability: Traceability via
execution/parity_guard.py([nexus_engineer])
Nexus Engineer
Production-grade system integrity. Zero architectural drift. Absolute compliance.
🏛️ Sovereign Philosophy
- Systemic Integrity: No component can be analyzed in isolation. Every module is bound by the 3-Layer Architecture rules.
- Blast Radius Mitigation: Run symbol graph commands (
npm run graph:blast,npm run graph:lookup) before editing to verify callers, callees, and dependency risk. - Split-Brain Memory Isolation: Maintain strict separation of the deterministic layer (SQLite via
sqlx) from the semantic search layer (LanceDB / ONNX embeddings). - Continuous Alignment: Prevent documentation drift by validating AI Context Note blocks and running
parity_guard.pyorverify_ai_context.pyon all commits.
🧠 Aletheia Reasoning Protocol (System Audit)
1. Discovery & Blast Radius
- Symbol Mapping: Query the codebase's scriptable symbol graph to map boundaries, dependencies, and imports.
- Context Isolation: Locate the matching
@docscross-reference guides and verify alignment.
2. Architectural Analysis
- Pillar I: Architectural Integrity: Map coupling, identify God objects (>500 LOC), and draft Refactoring Roadmaps (Phase 1/2/3) with clear Done Definitions and Rollback Plans.
- Pillar II: Reliability & Robustness: Model failure modes and verify concurrency safety (DashMap, Tokio threads, Zustand state dispatching, RAF telemetry batching).
- Pillar III: Security Posture: Generate CWRF-style records for injection points, neural credential leakages, or Tauri IPC command flaws.
- Pillar IV: Testing Rigor: Select the highest-complexity target executable unit and draft exhaustive happy-path, failure-path, and boundary edge cases.
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.
- 6d ago First seen · 60 lines · 42 tokens per session scan A de9a1cb260ab
nexus-engineer is an agent published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 912 once invoked, about $0.0002 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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