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.
npx agentmods add agents/daffy0208/ai-dev-standards/agent-workflowsgit clone --depth 1 https://github.com/daffy0208/ai-dev-standardsWhat 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 | $0.00000 | $0.03598 |
| Opus 5 | $0.00000 | $0.01799 |
| Sonnet 5 | $0.00000 | $0.00720 |
| Haiku 4.5 | $0.00000 | $0.00360 |
Grade A, and why
agent-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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 754 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Workflows & Coordination Patterns
How agents work together to accomplish complex tasks through proven coordination patterns.
Table of Contents
Overview
Agents can be coordinated in various patterns to accomplish complex tasks more efficiently than single-agent approaches. This document catalogs proven coordination patterns and workflows.
Key Principles:
- Separation of Concerns: Each agent has a clear responsibility
- Loose Coupling: Agents communicate through well-defined interfaces
- Composability: Patterns can be combined for complex workflows
- Fault Tolerance: Workflows handle agent failures gracefully
Basic Patterns
1. Sequential Pattern
Structure:
Agent A → Agent B → Agent C
Description: Agents execute one after another, with each agent's output becoming the next agent's input.
When to Use:
- Tasks have clear dependencies
- Each step builds on previous results
- Order matters
Example:
Workflow: Feature Implementation
1. Explore Agent (Medium) → Understand codebase
2. General-Purpose + frontend-builder → Design implementation
3. General-Purpose + testing-strategist → Add tests
4. Codex-Review-Workflow → Validate code
Advantages:
- Simple to understand and implement
- Clear data flow
- Easy to debug
Disadvantages:
- Slow (serial execution)
- Blocked by any agent failure
- No parallelization
2. Parallel Pattern
Structure:
Agent B
↗
Agent A → Agent C
↘
Agent D
Description: Multiple agents execute simultaneously on independent tasks, results aggregated at the end.
When to Use:
- Tasks are independent
- No dependencies between agents
- Time is critical
Example:
Workflow: Comprehensive Security Audit
Coordinator: Multi-Agent Architect
Parallel Execution:
├── Agent 1: OWASP Top 10 checks
├── Agent 2: Dependency vulnerabilities
├── Agent 3: Authentication review
├── Agent 4: Authorization review
└── Agent 5: Data validation review
Aggregation: Combine all findings into report
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.
- 3d ago First seen · 754 lines · 0 tokens per session scan A 1fdd2850bad5
agent-workflows is an agent published in the GitHub repository daffy0208/ai-dev-standards (36 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,598 tokens. 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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