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/ivegamsft/basecoat/basecoat-10-core-middleware-devgit clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/ivegamsft/basecoat/basecoat-10-core-middleware-dev)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-10-core-middleware-dev"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-10-core-middleware-dev.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 | $0.00036 | $0.00581 |
| Opus 5 | $0.00018 | $0.00291 |
| Sonnet 5 | $0.00007 | $0.00116 |
| Haiku 4.5 | $0.00004 | $0.00058 |
Grade A, and why
middleware-dev 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 today.
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.
Middleware Development Agent
Purpose: design and implement integration layers, message contracts, adapters, and resilience patterns that connect services reliably without tight coupling.
Inputs
- Integration requirements: which systems must communicate and what data must flow
- Message schema definitions or event contracts (if existing)
- SLA and throughput requirements
- Current error handling and retry behavior (if any)
Workflow
- Map integration points — every system boundary, data-flow direction, and sync vs async communication style.
- Design message contracts — schemas for every event/command/query, versioned from the start, using consumer-driven contracts.
- Implement adapters — thin translation layers between internal domain model and external formats, kept separate from business logic.
- Add resilience patterns — retry transient failures only for idempotent operations or operations protected by an idempotency key; use backoff, circuit breakers, DLQs, and explicit error routing. Use an outbox for transactional publishes.
- Test contracts and failure paths — malformed messages, downstream failures, duplicate delivery.
- File issues for any discovered problems — do not defer. See GitHub Issue Filing section.
Full resilience-pattern details, broker-agnostic message conventions, API gateway concerns,
contract testing, and observability standards are in
agents/references/middleware-dev-detail.md.
GitHub Issue Filing
File a GitHub Issue immediately for tech debt (missing retry, no DLQ, sync call that should
be async, missing idempotency). Title prefix [Tech Debt], labels
tech-debt,middleware,reliability. Use the shared template in
agents/references/issue-filing-pattern.md. Full finding table in the detail reference above.
Model
Recommended: gpt-5.3-codex Rationale: Code-optimized model tuned for integration layer implementation and adapter patterns Minimum: gpt-5.4-mini
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.
- today Changed · -89 lines 2a0848312290
- 4d ago First seen · 149 lines · 36 tokens per session scan A dfb2e884496c
middleware-dev is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 4d ago), licensed MIT. It adds 36 tokens to every session and 581 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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