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 skills add OmidZamani/dspy-skills --skill dspy-react-agent-buildergit clone --depth 1 https://github.com/OmidZamani/dspy-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/skills/omidzamani/dspy-skills/dspy-react-agent-builder)<a href="https://agentmods.dev/skills/omidzamani/dspy-skills/dspy-react-agent-builder"><img src="https://agentmods.dev/badge/skills/omidzamani/dspy-skills/dspy-react-agent-builder/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/skills/omidzamani/dspy-skills/dspy-react-agent-builder"><img src="https://agentmods.dev/badge/skills/omidzamani/dspy-skills/dspy-react-agent-builder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.01634 |
| Opus 5 | $0.00017 | $0.00817 |
| Sonnet 5 | $0.00007 | $0.00327 |
| Haiku 4.5 | $0.00003 | $0.00163 |
Grade A, and why
dspy-react-agent-builder 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 11d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DSPy ReAct Agent Builder
Goal
Build production-quality ReAct agents that use tools to solve complex multi-step tasks with reasoning, acting, and error handling.
When to Use
- Multi-step tasks requiring tool use
- Search + reasoning workflows
- Complex question answering with external data
- Tasks needing calculation, retrieval, or API calls
Related Skills
- Optimize agents: dspy-gepa-reflective
- Connect MCP tools: dspy-mcp-tool-integration
- Configure native tool calling: dspy-adapters-multimodal
- Define signatures: dspy-signature-designer
- Evaluate performance: dspy-evaluation-suite
Inputs
| Input | Type | Description |
|---|---|---|
signature |
str |
Task signature (e.g., "question -> answer") |
tools |
list[callable] |
Available tools/functions |
max_iters |
int |
Max reasoning steps (default: 20) |
Outputs
| Output | Type | Description |
|---|---|---|
agent |
dspy.ReAct |
Configured ReAct agent |
Workflow
Phase 1: Define Tools
Tools are Python functions with clear docstrings. The agent uses docstrings to understand tool capabilities:
import dspy
def search(query: str) -> list[str]:
"""Search knowledge base for relevant information.
Args:
query: Search query string
Returns:
List of relevant text passages
"""
retriever = dspy.ColBERTv2(url='http://20.102.90.50:2017/wiki17_abstracts')
results = retriever(query, k=3)
return [r['text'] for r in results]
def calculate(expression: str) -> float:
"""Safely evaluate mathematical expressions.
Args:
expression: Math expression (e.g., "2 + 2", "sqrt(16)")
Returns:
Numerical result
"""
try:
with dspy.PythonInterpreter() as interpreter:
return interpreter.execute(expression)
except Exception as e:
return f"Error: {e}"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 216 lines · 34 tokens per session scan A 0e2da23980d9
dspy-react-agent-builder is a skill published in the GitHub repository OmidZamani/dspy-skills (123 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 1,634 once invoked, about $0.0002 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.
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