agentmods.dev

workflow-ai-coding

workflow-ai-coding is a skill for Claude Code, Codex from w8123/EnterpriseAgentFramework. It costs 85 tokens per session (3,670 once invoked), scanned A, original, MIT.

A guide for changing and checking ReachAI workflow drafts through its AI Coding API. A workflow is a defined sequence or graph of automated steps.

In plain words
What is it for?
It helps create or modify workflow nodes and connections, validate the graph, run tests or debugging sessions, inspect results, and prepare validated workflows for publishing.
Why use it?
It keeps workflow changes aligned with the platform's runtime rules and prevents direct database edits from leaving the visual design out of sync.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

not rated 945repo +65 today A scan SkillSpector: pass 85 tokens original MIT

Good fit It helps create or modify workflow nodes and connections, validate the graph, run tests or debugging sessions, inspect results, and prepare validated workflows for publishing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/w8123/enterpriseagentframework/workflow-ai-coding
View source ↗ w8123/EnterpriseAgentFramework
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.

Any agent
npx skills add w8123/EnterpriseAgentFramework --skill workflow-ai-coding
Clone the repo
git clone --depth 1 https://github.com/w8123/EnterpriseAgentFramework

Made for: Claude Code, Codex.

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 workflow-ai-coding

README.md
[![agentmods](https://agentmods.dev/badge/skills/w8123/enterpriseagentframework/workflow-ai-coding/github.svg)](https://agentmods.dev/skills/w8123/enterpriseagentframework/workflow-ai-coding)
Your own site
<a href="https://agentmods.dev/skills/w8123/enterpriseagentframework/workflow-ai-coding"><img src="https://agentmods.dev/badge/skills/w8123/enterpriseagentframework/workflow-ai-coding/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 workflow-ai-coding

Your own site · 80×15
<a href="https://agentmods.dev/skills/w8123/enterpriseagentframework/workflow-ai-coding"><img src="https://agentmods.dev/badge/skills/w8123/enterpriseagentframework/workflow-ai-coding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 85 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,670 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00085 $0.03670
Opus 5.5 $0.00034 $0.01468
Sonnet 5.5 $0.00017 $0.00734
Haiku 4.5 $0.00009 $0.00367

Measured 1mo ago against content hash 42bd158df1f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

workflow-ai-coding scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

4. Use `curl.exe`, not the PowerShell `curl` alias:
reachai-control-service/src/main/resources/ai-assist/skills/workflow-ai-coding/SKILL.md · 331 lines

How it starts

The opening of the file, as written. The whole thing — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Workflow AI Coding

Operating Rules

Treat the ReachAI platform repository and live API responses as the source of truth. Do not edit runtime_workflow or runtime_workflow_resource_binding rows directly. All graph and binding changes go through Workflow AI Coding REST endpoints under /api/workflows/.../ai-coding.

凡是写入 ReachAI 或展示给业务用户的名称、标题、描述、说明、System Prompt、节点名称、审计原因、进度和结果，默认使用清晰的简体中文。不要仅因 API、Schema 或字段名为英文就生成英文业务文案。Token、MCP、AI、Agent、Supervisor、Workflow、Tool、API、SDK 等熟知专业术语，以及 keySlug、toolName、代码、路径、枚举值、协议字段和技术标识可保留英文；必要时使用“中文名称（英文术语）”。不要翻译或改写技术标识。

Core mental model:

  • GraphSpec is runtime semantics; canvas_json is layout only.
  • Create projects and lays out canvas from GraphSpec; patch defaults layout.autoLayout=true. The layered policy uses LR flow, 88px inter-layer boundary gaps, 56px same-layer gaps, and cycle-safe component packing. Before reporting back, confirm canvas_json.nodes[].position is non-overlapping and aligned; do not patch GraphSpec only and skip canvas synchronization.
  • START and END are Studio-only virtual canvas nodes. They never appear in GraphSpec nodes or edges.
  • Every workflow must set graphSpec.entryNodeId to a real node id and list every terminal node in graphSpec.exitNodeIds.
  • Workflow AI Coding updates the Working Copy until an explicit publish request is made.
  • Workflow AI Coding may publish a validated Working Copy through POST /api/workflows/{workflowId}/ai-coding/publish; publish still runs release validation and creates an ACTIVE runtime_workflow_version.
  • Always read GET .../context before patching or publishing. Use the latest workflow.updatedAt as baseRevision when saving and publishing.
  • First-class resource bindings may be replaced only while the Workflow is DRAFT, through PUT .../resource-bindings with the latest baseRevision. They are immutable after the first publish.
  • Node openness can be variant-specific. Read nodeTypes[].enabledVariants; for INTERACTION, only PRESENT_OUTPUT is currently open. Do not infer that COLLECT_INPUT, USER_CHOICE, CONFIRM_ACTION or other pause/resume variants are available merely because the INTERACTION type appears in the catalog.
  • Default patch behavior is dryRun=true. Only set dryRun=false after validation passes.

Read the full file on GitHub · 331 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 331 lines · 85 tokens per session scan A 42bd158df1f2

Subscribe to this mod's changes

workflow-ai-coding is a skill published in the GitHub repository w8123/EnterpriseAgentFramework (945 stars, last pushed today), licensed MIT. It adds 85 tokens to every session and 3,670 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Backend and APIsa2aagent-frameworkai-agentsai-capabilityai-gatewayenterprise-ai
Related

Other skills, from other repositories

omni-inference

The core OpenAI-compatible inference endpoints: chat completions, embeddings, images, audio (TTS/STT), moderations, rerank, and the Responses API. The primary integration surface for AI agents.

diegosouzapw/OmniRoute · 47 tokens

omni-providers

Manage provider connections, API keys, OAuth flows, and connection tests via the REST API. List, add, update, remove, and test AI provider integrations across OmniRoute's 374-provider catalog.

diegosouzapw/OmniRoute · 45 tokens

omni-auth

Manage API key authentication and session tokens. Start here to authenticate requests via Bearer token, obtain session cookies, and configure login requirements for the OmniRoute API.

diegosouzapw/OmniRoute · 36 tokens

omni-combos-routing

Create and manage routing combos with 19 strategies (priority, weighted, round-robin, Auto-combo, and more). Configure fallback chains, test routing outcomes, and retrieve combo metrics.

diegosouzapw/OmniRoute · 44 tokens

omni-api-keys

Create, list, rotate, and revoke OmniRoute API keys. Control per-key scopes, spending limits, and expiration. Keys gate access to all proxy and management endpoints.

diegosouzapw/OmniRoute · 40 tokens

omni-mcp

Connect to the OmniRoute MCP server (110 tools, 3 transports: SSE/stdio/HTTP). Covers routing, cache, compression, memory, skills, providers, and audit tools across 33 permission scopes.

diegosouzapw/OmniRoute · 48 tokens