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.
curl -O https://raw.githubusercontent.com/diagrid-labs/dapr-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/diagrid-labs/dapr-skillsWrote 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.
[](https://agentmods.dev/instructions/diagrid-labs/dapr-skills/agents-md)<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/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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.02280 | $0.02280 |
| Opus 5 | $0.01140 | $0.01140 |
| Sonnet 5 | $0.00456 | $0.00456 |
| Haiku 4.5 | $0.00228 | $0.00228 |
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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- dapr-skills CLAUDE.md — 86% identical, 25 lines differ
How it starts
The opening of the file, as written. The whole thing — 129 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/frameworkshared/— Shared content referenced by multiple skills (prereq checks, component YAMLs, tool templates, observability, running instructions)
Workflow skills
check-prereq-dotnet/SKILL.md— Skill for checking .NET prerequisitescheck-prereq-aspire/SKILL.md— Skill for checking .NET Aspire prerequisitescheck-prereq-python/SKILL.md— Skill for checking Python prerequisitescreate-workflow-dotnet/SKILL.md— Skill for creating Dapr Workflow apps with .NETcreate-workflow-dotnet/REFERENCE.md— Detailed reference examples for the .NET skillcreate-workflow-python/SKILL.md— Skill for creating Dapr Workflow apps with Pythoncreate-workflow-python/REFERENCE.md— Detailed reference examples for the Python skillcreate-workflow-aspire/SKILL.md— Skill for creating Dapr Workflow apps with Aspirecreate-workflow-aspire/REFERENCE.md— Detailed reference examples for the Aspire skillcreate-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 JavaScriptcreate-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 hazardsreview-workflow-determinism/REFERENCE.md— Detailed reference and worked example for the determinism review skillreview-workflow-activity/SKILL.md— Skill for reviewing existing activity code for idempotency, error handling, and convention issuesreview-workflow-activity/REFERENCE.md— Detailed reference and worked example for the activity review skillreview-workflow-management/SKILL.md— Skill for reviewing the HTTP management endpoints exposed for Dapr Workflowsreview-workflow-management/REFERENCE.md— Detailed reference and worked example for the management endpoint review skill
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.
- 12d ago First seen · 129 lines · 2,280 tokens per session scan A 14d4f524b741
dapr-skills AGENTS.md is an instructions file published in the GitHub repository diagrid-labs/dapr-skills (12 stars, last pushed 2d ago), licensed MIT. It adds 2,280 tokens to every session, about $0.0114 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.
Other instructions, from other repositories
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Instructions for DongDuong2001/pudo-code-system, covering backend code guidelines, api changes, database changes, authentication & permissions and verification.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.