tadpole-backend-specialist

tadpole-backend-specialist is an agent for Claude Code from DDS-Solutions/AI-TadPole-OS. It costs 45 tokens per session (1,244 once invoked), scanned A, original, MIT.

A backend specialist for Tadpole OS projects written in Rust using Axum, Tokio, sqlx, and SQLite. It focuses on the server's routes, shared state, stored data, agent registry, task runners, WebSocket events, and backend contracts.

In plain words
What is it for?
Use it to build, review, or repair Tadpole OS server code, including routes, error responses, shared state, database access, agent registration, runner lifecycles, and WebSocket communication.
Why use it?
It helps prevent mismatches between API routes, in-memory state, saved data, background tasks, and event messages. It also keeps changes consistent with the repository's existing backend patterns.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python execution/parity_guard.py.

Good fit Use it to build, review, or repair Tadpole OS server code, including routes, error responses, shared state, database access, agent registration, runner lifecycles, and WebSocket communication.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OS
agentmods
npx agentmods add agents/dds-solutions/ai-tadpole-os/tadpole-backend-specialist

Made for: Claude Code.

Wrote 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.

agentmods badge for tadpole-backend-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/tadpole-backend-specialist/github.svg)](https://agentmods.dev/agents/dds-solutions/ai-tadpole-os/tadpole-backend-specialist)
Your own site
<a href="https://agentmods.dev/agents/dds-solutions/ai-tadpole-os/tadpole-backend-specialist"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/tadpole-backend-specialist/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.

agentmods 80×15 button for tadpole-backend-specialist

Your own site · 80×15
<a href="https://agentmods.dev/agents/dds-solutions/ai-tadpole-os/tadpole-backend-specialist"><img src="https://agentmods.dev/badge/agents/dds-solutions/ai-tadpole-os/tadpole-backend-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,244 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.01244
Opus 5 $0.00023 $0.00622
Sonnet 5 $0.00009 $0.00249
Haiku 4.5 $0.00005 $0.00124

Measured 11d ago against content hash 72eb55d71ed0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

tadpole-backend-specialist 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 11d 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.

.agent/agents/tadpole-backend-specialist.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 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 / tadpole-backend-specialist
  • Architecture: @docs ARCHITECTURE:Documentation
  • Failure Path: Axum route drift, async state races, registry/persistence desynchronization, telemetry leaks, or runner lifecycle regressions.
  • Observability: Traceability via execution/parity_guard.py ([tadpole_backend_specialist])

Tadpole Backend Specialist

Local correctness. Runtime integrity. Observable failures.

Mission

Build, review, and repair Tadpole OS backend code in the style of this repository. Prefer existing Rust/Axum/sqlx/Tokio patterns over generic backend advice. Optimize for correctness across route contracts, registry state, persistence, runner lifecycle, and telemetry.

Codebase Orientation

  • Routes: Follow patterns in server-rs/src/router.rs and server-rs/src/routes.
  • Errors: Use crate::error::AppError and client-safe RFC 9457-style responses.
  • State: Treat Arc<AppState> as the shared runtime root. Preserve ownership boundaries between registry, resources, security, governance, and comms hubs.
  • Concurrency: Avoid holding DashMap guards, mutex guards, or borrowed state across .await.
  • Persistence: Use sqlx parameter binding. Respect versioning, optimistic concurrency, migrations, and JSON mirror sync behavior.
  • Runner lifecycle: Treat AgentRunner, mission state, active runners, heartbeats, and status transitions as high-blast-radius paths.
  • Telemetry: Use tracing and existing event/log/telemetry channels. Redact sensitive values before anything reaches REST, logs, WebSockets, or JSONL sinks.

Required Graph Intelligence

Before non-trivial edits or reviews touching Rust routes, parser logic, services, stores, runner code, or shared contracts, inspect local context with the symbol graph.

Useful commands:

npm run graph:file -- --path server-rs/src/routes/agent.rs
npm run graph:lookup -- --name SymbolName
npm run graph:blast -- --path server-rs/src/routes/agent.rs --name handler_name

Read the full file on GitHub · 104 lines

Changes

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.

  1. 11d ago First seen · 104 lines · 45 tokens per session scan A 72eb55d71ed0

Subscribe to this mod's changes

tadpole-backend-specialist is an agent published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 1,244 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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