MIF: Agent for Claude Code

.github/agents/agentic-workflows.md

Agentic Workflows is an agent for Claude Code from modeled-information-format/MIF. It costs 30 tokens per session (2,792 once invoked), scanned A, a copy of Agentic Workflows, MIT.

An agent for GitHub Agentic Workflows, a tool that creates AI-powered GitHub workflows from Markdown instructions.

In plain words
What is it for?
It helps create and maintain gh-aw workflows, build shared workflow components, generate reports in GitHub, and handle certain Dependabot pull requests by updating their source files.
Why use it?
It routes workflow requests to guidance for creating, updating, debugging, upgrading, or reporting, so related tasks follow the appropriate process.

Agent for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents; mentions Codex.

This is modeled-information-format/MIF's own configuration. It tells Claude Code how to work on MIF itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything MIF configures →

Reuse

Borrowing it

Nothing to install: this file belongs to modeled-information-format/MIF. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/modeled-information-format/MIF/main/.github/agents/agentic-workflows.md
Clone the repo
git clone --depth 1 https://github.com/modeled-information-format/MIF

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 Agentic Workflows

README.md
[![agentmods](https://agentmods.dev/badge/agents/modeled-information-format/mif/agentic-workflows/github.svg)](https://agentmods.dev/agents/modeled-information-format/mif/agentic-workflows)
Your own site
<a href="https://agentmods.dev/agents/modeled-information-format/mif/agentic-workflows"><img src="https://agentmods.dev/badge/agents/modeled-information-format/mif/agentic-workflows/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 Agentic Workflows

Your own site · 80×15
<a href="https://agentmods.dev/agents/modeled-information-format/mif/agentic-workflows"><img src="https://agentmods.dev/badge/agents/modeled-information-format/mif/agentic-workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,792 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% copy Near-identical to another mod 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 $0.00030 $0.02792
Opus 5.5 $0.00012 $0.01117
Sonnet 5.5 $0.00006 $0.00558
Haiku 4.5 $0.00003 $0.00279

Measured 2mo ago against content hash 4f95bc84ac9f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Agentic Workflows 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 2mo 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.

Origin

This is a copy

97% identical to Agentic Workflows — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/agents/agentic-workflows.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Agentic Workflows Agent

This agent helps you work with GitHub Agentic Workflows (gh-aw), a CLI extension for creating AI-powered workflows in natural language using markdown files.

What This Agent Does

This is a dispatcher agent that routes your request to the appropriate specialized prompt based on your task:

  • Creating new workflows: Routes to create prompt
  • Updating existing workflows: Routes to update prompt
  • Debugging workflows: Routes to debug prompt
  • Upgrading workflows: Routes to upgrade-agentic-workflows prompt
  • Creating report-generating workflows: Routes to report prompt — consult this whenever the workflow posts status updates, audits, analyses, or any structured output as issues, discussions, or comments
  • Creating shared components: Routes to create-shared-agentic-workflow prompt
  • Fixing Dependabot PRs: Routes to dependabot prompt — use this when Dependabot opens PRs that modify generated manifest files (.github/workflows/package.json, .github/workflows/requirements.txt, .github/workflows/go.mod). Never merge those PRs directly; instead update the source .md files and rerun gh aw compile --dependabot to bundle all fixes
  • Analyzing test coverage: Routes to test-coverage prompt — consult this whenever the workflow reads, analyzes, or reports on test coverage data from PRs or CI runs
  • Rendering ASCII charts in markdown: Routes to asciicharts guide — consult this whenever the workflow needs compact charts that render reliably in GitHub issues, comments, or discussions
  • CLI commands and triggering workflows: Routes to cli-commands guide — consult this whenever the user asks how to run, compile, debug, or manage workflows from the command line, or when they need the MCP tool equivalent of a gh aw command
  • Reducing token consumption / cost optimization: Routes to token-optimization guide — consult this whenever the user asks how to reduce token usage, lower costs, speed up workflows, or measure the impact of prompt changes with experiments
  • Choosing workflow architectures and design patterns: Routes to patterns guide — consult this whenever the user asks for strategy, architecture, operating models, or pattern selection for agentic workflows

Read the full file on GitHub · 227 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. 2mo ago First seen · 227 lines · 30 tokens per session scan A 4f95bc84ac9f

Subscribe to this mod's changes

Agentic Workflows is an agent published in the GitHub repository modeled-information-format/MIF (13 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 2,792 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to Agentic Workflows, differing in 7 lines, and is treated as a copy.

Related

Agentic Workflows compared with agents from other repositories

Agentic Workflows next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
Agentic Workflowsmodeled-information-format/MIFAgent13yesterdayMITA30Claude Code
engram:memory-reviewjoshuaswarren/remnicAgent231todayMITA17Claude Code
context-builderjulymetodiev/post-cortexAgent2017d agoMITA45Claude Code
context-researchermajor7apps/pensyveAgent99yesterdaynoneA47Claude Code
gsd-intel-updatermrboups/xbrainAgent21mo agoMITA22Claude Code
gsd-plannermrboups/xbrainAgent21mo agoMITA33Claude Code
gsd-framework-selectormrboups/xbrainAgent21mo agoMITA54Claude Code