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-signature-designergit 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-signature-designer)<a href="https://agentmods.dev/skills/omidzamani/dspy-skills/dspy-signature-designer"><img src="https://agentmods.dev/badge/skills/omidzamani/dspy-skills/dspy-signature-designer/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-signature-designer"><img src="https://agentmods.dev/badge/skills/omidzamani/dspy-skills/dspy-signature-designer.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 | $0.00035 | $0.01838 |
| Opus 5 | $0.00017 | $0.00919 |
| Sonnet 5 | $0.00007 | $0.00368 |
| Haiku 4.5 | $0.00003 | $0.00184 |
Grade A, and why
dspy-signature-designer 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.
How it starts
The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DSPy Signature Designer
Goal
Design clear, type-safe signatures that define what your DSPy modules should do.
When to Use
- Defining new DSPy modules
- Need structured/validated outputs
- Complex input/output relationships
- Multi-field responses
Inputs
| Input | Type | Description |
|---|---|---|
task_description |
str |
What the module should do |
input_fields |
list |
Required inputs |
output_fields |
list |
Expected outputs |
type_constraints |
dict |
Type hints for fields |
Outputs
| Output | Type | Description |
|---|---|---|
signature |
dspy.Signature |
Type-safe signature class |
Workflow
Inline Signatures (Simple)
import dspy
# Basic
qa = dspy.Predict("question -> answer")
# With types
classify = dspy.Predict("sentence -> sentiment: bool")
# Multiple fields
rag = dspy.ChainOfThought("context: list[str], question: str -> answer: str")
Class-based Signatures (Complex)
from typing import Literal, Optional
import dspy
class EmotionClassifier(dspy.Signature):
"""Classify the emotion expressed in the text."""
text: str = dspy.InputField(desc="The text to analyze")
emotion: Literal['joy', 'sadness', 'anger', 'fear', 'surprise'] = dspy.OutputField()
confidence: float = dspy.OutputField(desc="Confidence score 0-1")
Type Hints Reference
from typing import Literal, Optional, List
from pydantic import BaseModel
# Basic types
field: str = dspy.InputField()
field: int = dspy.OutputField()
field: float = dspy.OutputField()
field: bool = dspy.OutputField()
# Collections
field: list[str] = dspy.InputField()
field: List[int] = dspy.OutputField()
# Optional
field: Optional[str] = dspy.OutputField()
# Constrained
field: Literal['a', 'b', 'c'] = dspy.OutputField()
# Pydantic models
class Person(BaseModel):
name: str
age: int
field: Person = dspy.OutputField()
Production Examples
Summarization
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.
- 12d ago First seen · 282 lines · 35 tokens per session scan A 30693dbd8ec4
dspy-signature-designer is a skill published in the GitHub repository OmidZamani/dspy-skills (123 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 1,838 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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