dapr-skills: Instructions file for Codex

AGENTS.md

dapr-skills AGENTS.md is an instructions file for Codex, OpenCode from diagrid-labs/dapr-skills. It costs 3,969 tokens per session, scanned A, original, MIT.

A set of instructions for an AI coding assistant that helps build applications with Dapr Workflow, a system for running reliable, long-running tasks, using .NET, Python, or .NET Aspire.

In plain words
What is it for?
Creating Dapr Workflow applications, checking prerequisites, and using shared configuration, tool, observability, and run instructions.
Why use it?
It gives the assistant the repository structure, required checks, shared templates, and workflow conventions so generated code follows the project’s setup.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions AGENTS.md; mentions Codex.

This is diagrid-labs/dapr-skills's own configuration. It tells Codex and OpenCode how to work on dapr-skills 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 dapr-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to diagrid-labs/dapr-skills. 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/diagrid-labs/dapr-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/diagrid-labs/dapr-skills

Made for: Codex, OpenCode.

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.

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README.md
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Your own site
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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.

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<a href="https://agentmods.dev/instructions/diagrid-labs/dapr-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/diagrid-labs/dapr-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 3,969 This file is loaded in full into every session.
When invoked 3,969 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.03969 $0.03969
Opus 5.5 $0.01588 $0.01588
Sonnet 5.5 $0.00794 $0.00794
Haiku 4.5 $0.00397 $0.00397

Measured 13d ago against content hash b5bac18dc14a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dapr-skills AGENTS.md 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 13d 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

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This repository contains skill definitions for building Dapr Workflow applications and durable AI agent applications that run on Dapr Workflow. The skills follow the Agent Skills specification and can be used with any compatible AI coding assistant.

Repository structure

  • skills/ — Skill files organized by language/framework
    • dapr-shared/ — Support skill holding shared content referenced by multiple skills (prereq checks, component YAMLs, tool templates, observability, running instructions). It has its own SKILL.md so it installs next to the other skills.

Workflow skills

  • check-prereq-dotnet/SKILL.md — Skill for checking .NET prerequisites
  • check-prereq-aspire/SKILL.md — Skill for checking .NET Aspire prerequisites
  • check-prereq-python/SKILL.md — Skill for checking Python prerequisites
  • create-workflow-dotnet/SKILL.md — Skill for creating Dapr Workflow apps with .NET
  • create-workflow-dotnet/REFERENCE.md — Detailed reference examples for the .NET skill
  • create-workflow-python/SKILL.md — Skill for creating Dapr Workflow apps with Python
  • create-workflow-python/REFERENCE.md — Detailed reference examples for the Python skill
  • create-workflow-typescript/SKILL.md — Skill for creating a Dapr building-blocks app (Workflow, service invocation, pub/sub, bindings, jobs, state, secrets) with TypeScript
  • create-workflow-typescript/REFERENCE.md — Detailed reference examples for the TypeScript skill
  • migrate-workflow-typescript/SKILL.md — Skill for migrating an existing TypeScript/Node.js application to Dapr incrementally
  • migrate-workflow-typescript/REFERENCE.md — Detection heuristics, infra-to-component mapping, and verified before/after code for the migration skill
  • add-workflow-dotnet/SKILL.md — Skill for adding Dapr Workflow to an existing ASP.NET Core project (plain or Aspire) after a plan the user approves
  • add-workflow-dotnet/REFERENCE.md — Detection heuristics, plan template, edit recipes and run-doc template for the add skill
  • create-workflow-aspire/SKILL.md — Skill for creating Dapr Workflow apps with Aspire
  • create-workflow-aspire/REFERENCE.md — Detailed reference examples for the Aspire skill
  • create-workflow-from-diagram/SKILL.md — Skill for scaffolding a Dapr Workflow app from a diagram image (PNG/JPG/GIF/WebP) or a BPMN 2.0 XML file, in Go, Python, .NET, Java, or JavaScript
  • create-workflow-from-diagram/REFERENCE.md — Detailed reference for the diagram skill (IR, input paths, per-language notes)
  • review-workflow-determinism/SKILL.md — Skill for reviewing existing workflow code for non-determinism hazards
  • review-workflow-determinism/REFERENCE.md — Detailed reference and worked example for the determinism review skill
  • review-workflow-activity/SKILL.md — Skill for reviewing existing activity code for idempotency, error handling, and convention issues
  • review-workflow-activity/REFERENCE.md — Detailed reference and worked example for the activity review skill
  • review-workflow-management/SKILL.md — Skill for reviewing the HTTP management endpoints exposed for Dapr Workflows
  • review-workflow-management/REFERENCE.md — Detailed reference and worked example for the management endpoint review skill

Read the full file on GitHub · 185 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. 13d ago Changed · +41 lines · +1,178 tokens per session b5bac18dc14a
  2. 14d ago Changed · +2 lines · +134 tokens per session 507537c8f113
  3. 26d ago Changed · +13 lines · +377 tokens per session ebafb556f683
  4. 1mo ago First seen · 129 lines · 2,280 tokens per session scan A 14d4f524b741

Subscribe to this mod's changes

dapr-skills AGENTS.md is an instructions file published in the GitHub repository diagrid-labs/dapr-skills (13 stars, last pushed 10d ago), licensed MIT. It adds 3,969 tokens to every session, about $0.0159 per session on Opus 5.5. 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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