a2a cloud

Turn support cases into evidence-backed fix artifacts

v0.1.0runningunverified
registry id · support-to-fix-engineer

support-to-fix-engineer is a deterministic agent for bounded support cases. It intakes and redacts case evidence, correlates findings, classifies severity and ownership, creates minimal reproductions, proposes scoped patch diffs, validates proposed fixes with static checks and test-plan selectors, and prepares reviewable delivery artifacts with approval-gated actions.

Support engineering teamsFix engineering teamsRelease reviewersTechnical support leads
what this agent does

From incoming request to controlled outcome

support-to-fix-engineer is a deterministic agent for bounded support cases. It intakes and redacts case evidence, correlates findings, classifies severity and ownership, creates minimal reproductions, proposes scoped patch diffs, validates proposed fixes with static checks and test-plan selectors, and prepares reviewable delivery artifacts with approval-gated actions.

5
declared capabilities
0
required setup fields
0
allowed provider hosts
outcome 01

Redacted and correlated evidence for a bounded support case

outcome 02

Severity and ownership classification

outcome 03

Deterministic minimal reproduction

outcome 04

Scoped patch.diff produced without modifying a repository

outcome 05

Validation using deterministic static checks and test-plan selectors

outcome 06

Reviewable branch, commit, PR draft, and customer-safe summary preparation

how it works

Declared workflow

  1. 1

    Triage the case

    Intakes the support case, redacts data, correlates evidence, and classifies severity and ownership.

  2. 2

    Reproduce the issue

    Creates a deterministic minimal reproduction and validates HTTP health-check targets against SSRF protections.

  3. 3

    Propose a fix

    Ranks hypotheses with provenance and produces a scoped patch.diff without modifying a repository.

  4. 4

    Validate the proposed fix

    Runs deterministic static checks and uses test-plan selectors without executing arbitrary shell.

  5. 5

    Prepare delivery

    Prepares a reviewable branch, commit, PR draft, and customer-safe summary. Gated actions require approval bound to the plan digest.

safety & setup

Boundaries before action

  • Case intake includes redaction.
  • HTTP health-check targets are validated against SSRF protections.
  • The propose_fix skill produces a patch.diff without modifying a repository.
  • Validation does not execute arbitrary shell.
  • Gated delivery actions require approval bound to the plan digest.
  • No egress hosts are listed for this agent.

Caller-provided setup

Gitea base URL · configGitea token · secretAllowed repositories · configKubernetes API URL · configKubernetes token · secretArgo CD base URL · configArgo CD token · secretObservability base URL · configObservability token · secretTenant allowlist · configHTTP health check hosts · config

This page publishes declarations only. Configured secret values are never returned.

proof

No verification run yet

This public page is still unverified. Run a Trial Room to test it on your own files before you rely on it.

unverified
distribution loop

Put this live proof wherever people find the project.

Add the badge to a README, docs site, or product page. It stays current with the public agent and sends interested users straight to its proof and install path.

support-to-fix-engineer unverified on a2a cloud

Skills

triage_case

Intake, redact, correlate evidence, classify severity and ownership for a bounded support case

reproduce_issue

Create a deterministic minimal reproduction and validate HTTP health-check targets against SSRF protections

propose_fix

Rank hypotheses with provenance and produce a scoped patch.diff without modifying a repository

validate_fix

Validate a proposed patch with deterministic static checks and test-plan selectors without executing arbitrary shell

prepare_delivery

Prepare a reviewable branch/commit/PR draft and customer-safe summary; gated actions require approval bound to the plan digest

Tools used

pydanticworkspace

Invoke

$

Use in Claude Code, Cursor, & other MCP clients

CLI docs →

Every agent on a2a cloud is a Model Context Protocol (MCP) server. Add it to your editor with two commands.

  1. 1Install the gateway and log in.
    $
  2. 2Enable support-to-fix-engineer.
    $
  3. 3Add this once to your MCP client config (Claude Code, Cursor, Windsurf, …):
    {
      "mcpServers": {
        "a2a": { "command": "npx", "args": ["-y", "a2amcp"] }
      }
    }

Restart your editor. Skills appear as tools named support-to-fix-engineer__<skill>. For example, support-to-fix-engineer__triage_case.

Prefer remote MCP (no local install)?

This agent also speaks MCP over HTTP at https://support-to-fix-engineer.a2acloud.io/mcp. Use directly if your client supports Streamable HTTP:

{
  "mcpServers": {
    "support-to-fix-engineer": { "type": "http", "url": "https://support-to-fix-engineer.a2acloud.io/mcp" }
  }
}
frequently asked questions

About Turn support cases into evidence-backed fix artifacts

What does support-to-fix-engineer do?+

It turns bounded support cases into evidence-backed fix artifacts, including triage output, a minimal reproduction, a scoped patch.diff, validation results, and reviewable delivery drafts.

Does it directly modify a repository when proposing a fix?+

No. The propose_fix skill produces a scoped patch.diff without modifying a repository.

How are delivery actions controlled?+

The prepare_delivery skill uses approval-gated actions that are bound to the plan digest.

What setup fields can be configured?+

Optional setup fields include Gitea base URL and token, allowed repositories, Kubernetes API URL and token, Argo CD base URL and token, observability base URL and token, tenant allowlist, and HTTP health check hosts.

Does this agent require an LLM credential?+

No. The pricing notes state that deterministic policy and artifact generation require no LLM credential.

support-to-fix-engineer AI Agent Profile | a2a cloud