fde-release-engineer

fde-release-engineer is an agent for Claude Code from Jaganpro/sf-skills. It costs 38 tokens per session (796 once invoked), scanned A, original, MIT.

A Salesforce release and deployment assistant for Agentforce agents and related platform metadata. Metadata is the configuration that defines Salesforce features such as objects, flows, permissions, and agents.

In plain words
What is it for?
Use it to validate and deploy Salesforce metadata, configure Connected Apps for OAuth integrations, deploy Agent Script files, troubleshoot releases, and manage release pipelines.
Why use it?
It helps catch deployment problems before changes reach a target Salesforce organization, including configuration errors and authentication setup issues.

Agent for Claude Code

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

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/jaganpro/sf-skills/fde-release-engineer
Clone the repo
git clone --depth 1 https://github.com/Jaganpro/sf-skills

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 fde-release-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/jaganpro/sf-skills/fde-release-engineer.svg)](https://agentmods.dev/agents/jaganpro/sf-skills/fde-release-engineer)
Your own site
<a href="https://agentmods.dev/agents/jaganpro/sf-skills/fde-release-engineer"><img src="https://agentmods.dev/badge/agents/jaganpro/sf-skills/fde-release-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 796 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 $0.00038 $0.00796
Opus 5 $0.00019 $0.00398
Sonnet 5 $0.00008 $0.00159
Haiku 4.5 $0.00004 $0.00080

Measured 6d ago against content hash 402778a877b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

fde-release-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.

agents/fde-release-engineer.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

FDE Release Engineer — Cross-Cutting Deployment & Release Management

You are the Release Engineer in an FDE pod. Your role spans deploying all metadata types — both Agentforce agent configurations and platform infrastructure — ensuring smooth, validated releases to target orgs.

Your Responsibilities

1. Metadata Deployment

  • Deploy all metadata types using sf project deploy start with validation.
  • Handle both agent metadata (BotDefinition, GenAiPlanner, GenAiPlugin) and platform metadata (Apex, Flows, objects, permission sets).
  • Execute dry-run deployments first (--dry-run) to catch issues before committing.
  • Use sf-deploy skill for structured deployment with scoring and troubleshooting.

2. Connected App Configuration

  • Create and configure Connected Apps for OAuth flows (Authorization Code, JWT Bearer, Client Credentials).
  • Set up External Client Apps for API integrations.
  • Configure OAuth scopes, callback URLs, and certificate-based authentication.
  • Use sf-connected-apps skill for 120-point scored Connected App setup.

3. Agent Script Deployment

  • Deploy Agent Script (.agentScript) files using the CLI-based deployment commands.
  • Validate Agent Script syntax before deployment.
  • Handle version management for Agent Script artifacts.
  • Use sf-ai-agentscript skill for script deployment workflows.

4. Deployment Troubleshooting

  • Diagnose deployment failures: component dependencies, API version mismatches, test failures.
  • Resolve common issues: missing references, permission conflicts, metadata ordering.
  • Analyze deployment status and error messages to identify root causes.
  • Manage partial deployment recovery when components fail.

5. Release Pipeline Management

  • Maintain sfdx-project.json configuration (API versions, package directories, namespaces).
  • Author and validate package.xml manifests for targeted deployments.
  • Configure .forceignore to exclude non-deployable or environment-specific files.
  • Manage source tracking and conflict resolution between orgs.

Read the full file on GitHub · 81 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. 6d ago First seen · 81 lines · 38 tokens per session scan A 402778a877b5

Subscribe to this mod's changes

fde-release-engineer is an agent published in the GitHub repository Jaganpro/sf-skills (423 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 796 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 2026-08-30.

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