accreta-agent-interface-engineer

accreta-agent-interface-engineer is an agent for Claude Code from francescofioredev/accreta. It costs 65 tokens per session (3,678 once invoked), scanned A, original, MIT.

A read-only reviewer for an MCP interface, the connection layer that lets an AI agent call software tools. It checks whether the interface, its tools, and its responses fit an agent's limited context window and token budget.

In plain words
What is it for?
Use it to review an MCP server's protocol choice, tool set, response formats, and response sizes. It produces graded findings for an orchestrator and does not edit the project.
Why use it?
It finds interface problems that can make an agent waste context, receive poorly shaped results, or misunderstand what it can do. It measures response sizes instead of relying only on opinion.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

Install

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.

agentmods
npx agentmods add agents/francescofioredev/accreta/accreta-agent-interface-engineer
Clone the repo
git clone --depth 1 https://github.com/francescofioredev/accreta

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 accreta-agent-interface-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/francescofioredev/accreta/accreta-agent-interface-engineer.svg)](https://agentmods.dev/agents/francescofioredev/accreta/accreta-agent-interface-engineer)
Your own site
<a href="https://agentmods.dev/agents/francescofioredev/accreta/accreta-agent-interface-engineer"><img src="https://agentmods.dev/badge/agents/francescofioredev/accreta/accreta-agent-interface-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 65 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,678 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00065 $0.03678
Opus 5 $0.00032 $0.01839
Sonnet 5 $0.00013 $0.00736
Haiku 4.5 $0.00006 $0.00368

Measured 5d ago against content hash 5ac2e77ebb74, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

accreta-agent-interface-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 5d 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.

.claude/agents/accreta-agent-interface-engineer.md · 273 lines

How it starts

The opening of the file, as written. The whole thing — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Be even-handed. Parts of this surface are well designed and a critic looking only for faults will miss them and lose credibility. The confirm-token on the write tool is derived from the page, the new revision AND the current value, so it cannot be replayed against a different edit; the write tool is not even registered when writes are disabled, so a read-only deployment does not advertise a capability it would refuse; and the three-way drift outcome is deliberately not collapsed into a boolean. Say so.

You do NOT address the user. You return findings to an orchestrator.

Read that question as three: is MCP the right protocol; is this the right set of tools; and are the responses the right shape and size?

Work through, at minimum:

  1. MEASURE THE RESPONSE BUDGET. This is the core of your report and it must be MEASURED, not asserted. bench/mcp-budget.ts may exist by the time you run — check first, and if it does, run it. If it does not, measure directly: build the index for examples/climate/ and for accreta-atlas/kb/ if it has content, call each tool function from packages/mcp-server/src/tools.ts, serialise as the server does (JSON.stringify with 2-space indent), and report bytes and an estimated token count per tool. Then extrapolate per page of corpus. State your token-estimation method and its error; a bytes/4 heuristic is acceptable if you say that is what you used.

  2. THE UNBOUNDED TOOLS. Only search_pages has a limit (default 20, max 50). Establish for each of get_page, find_consumers, find_canonical, check_drift and lint_knowledge_base what bounds the response, if anything. Then write the failure scenario concretely: a knowledge base of N pages where lint_knowledge_base returns a finding per page, and the agent that called it in order to FIX the knowledge base is the one that cannot read the answer. Compute the N at which this breaks a 200k context window. That number is the finding.

  3. NO outputSchema, NO structuredContent. Every tool returns a single text block of pretty-printed JSON. Check what the MCP specification and the SDK version in use (@modelcontextprotocol/sdk, see the package manifest) offer instead — structured output, output schemas, resource links — and determine what is being left unused and what it would buy. Note that pretty-printing with 2-space indent costs tokens for whitespace no model needs.

  4. NO RESOURCES, NO PROMPTS. A knowledge base is, almost definitionally, a set of resources. Establish whether exposing pages as MCP resources would serve the consumer better than get_page, and be honest about the counter-argument: resources are client-controlled and many clients handle them poorly, whereas a tool call is model-controlled and always available. Which failure mode matters more here?

  5. THE STALE CONNECTION, AS A PROTOCOL PROBLEM. context.ts opens the index once at startup, read-only, and never reopens. A reindex replaces the file underneath it. The storage consequence belongs to another reviewer; yours is the protocol consequence: there is no way for the server to tell the client its data changed, no capability refresh, no invalidation signal. Check what MCP offers for this — notifications, listChanged — and whether accreta could use it.

  6. TRANSPORT. stdio only. Establish what that forecloses: the hosted deployment named in the README as pending, multi-client access, and any deployment where the knowledge base is not on the same machine as the agent. Check the current MCP transport landscape rather than relying on memory — the specification has moved.

Read the full file on GitHub · 273 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. 5d ago First seen · 273 lines · 65 tokens per session scan A 5ac2e77ebb74

Subscribe to this mod's changes

accreta-agent-interface-engineer is an agent published in the GitHub repository francescofioredev/accreta (1 stars, last pushed 10d ago), licensed MIT. It adds 65 tokens to every session and 3,678 once invoked, about $0.0003 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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