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AI EngineeringPython

Agentacct Workflow

by mikehasa

Agentacct Workflow is an AI Engineering skill for Claude Code, published by mikehasa in agentacct.

624 stars73 forkson mikehasa/agentacctAdded 2026/08/24+2% in starsRepository updated 2026/08/23
View source on GitHubDownload repo ZIP
agent-observabilityai-agentsanalyticsclaude-codeclicodexcoding-agentcost-trackingdashboarddeveloper-toolsdevtoolsllmllmopslocal-firstmcpobservabilityopencodepythontoken-usage
Install in seconds
Install Agentacct Workflow
Copy Agentacct Workflow into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/mikehasa/agentacct/tree/main/integrations/hermes/agentacct-workflow ~/.claude/skills/agentacct-workflow

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/mikehasa/agentacct.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
integrations/hermes/agentacct-workflow/SKILL.md in mikehasa/agentacct
Installs to
~/.claude/skills/agentacct-workflow
Collection
The only skill cataloged from this repository
Category
AI Engineering — 2451 skills

What Agentacct Workflow does

Agentacct Workflow uses agentacct MCP tools to record sections, checkpoints, and machine-check evidence for coding-agent work. Use it when tracking agent activity, validating integrations, or reporting objective task evidence.

Agentacct Workflow is cataloged under AI Engineering on DirSkills. Agentacct Workflow comes from a repository tagged agent-observability, ai-agents, analytics, claude-code and cli.

Documentation

README

agentacct Workflow

Overview

Use agentacct as a lightweight workflow ledger for AI-agent work. When the agentacct MCP tools are available, record a compact timeline of meaningful work rather than relying only on final chat summaries.

This skill does not mean agentacct automatically sees every token or exact provider bill. MCP events, local usage imports, and provider/proxy cost enforcement are separate capabilities.

When to Use

Use this skill when:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agentacct Workflow

  • How does Agentacct Workflow compare to other AI Engineering skills?

    Agentacct Workflow ranks #1880 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agentacct Workflow against them. Open each page to compare what they document and how they install.

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Agentacct Workflow is one of 2451 AI Engineering skills cataloged on DirSkills, ranked #1880 by stars among them.

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