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 OpenDCAI/DataFlow-WebUI --skill format-str-prompted-generatorgit clone --depth 1 https://github.com/OpenDCAI/DataFlow-WebUIWrote 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/opendcai/dataflow-webui/format-str-prompted-generator)<a href="https://agentmods.dev/skills/opendcai/dataflow-webui/format-str-prompted-generator"><img src="https://agentmods.dev/badge/skills/opendcai/dataflow-webui/format-str-prompted-generator.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.01301 |
| Opus 5 | $0.00030 | $0.00651 |
| Sonnet 5 | $0.00012 | $0.00260 |
| Haiku 4.5 | $0.00006 | $0.00130 |
Grade A, and why
format-str-prompted-generator 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 7d 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FormatStrPromptedGenerator Operator Reference
FormatStrPromptedGenerator is DataFlow's multi-field template-based LLM
generation operator. It maps multiple dataframe columns into template
placeholders, builds one prompt per row, calls the LLM, writes the result into
output_key, persists the dataframe, and returns the output_key string.
1. Imports
from dataflow.operators.core_text import FormatStrPromptedGenerator
from dataflow.prompts.core_text import FormatStrPrompt
2. Constructor
FormatStrPromptedGenerator(
llm_serving,
system_prompt="You are a helpful agent.",
prompt_template=FormatStrPrompt(f_str_template="..."),
json_schema=None,
)
| Parameter | Required | Default | Description |
|---|---|---|---|
llm_serving |
Yes | None | LLM service object implementing generate_from_input(...) |
system_prompt |
No | "You are a helpful agent." |
System prompt passed to the serving layer |
prompt_template |
Yes in practice | FormatStrPrompt |
Must be an instantiated FormatStrPrompt(...) or a DIYPromptABC subclass instance |
json_schema |
No | None |
Optional schema forwarded to generate_from_input(...) |
Important prompt_template Notes
- The source code default is
FormatStrPrompt, which is the class object, not an instance. Because of@prompt_restrict, omittingprompt_templateentirely can raiseTypeErrorat construction time. - Passing
prompt_template=Noneis also invalid here. UnlikeBenchAnswerGenerator, this operator explicitly raises:
ValueError("prompt_template cannot be None")
- The practical safe pattern is to always pass an instantiated template:
FormatStrPrompt(
f_str_template="Title: {title}\n\nBody: {body}\n\nSummarize this article."
)
Constructing FormatStrPrompt
FormatStrPrompt(
f_str_template="{title}\n\n{body}",
on_missing="raise",
)
3. run() Signature
What ships with it
3 files 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.
- 7d ago First seen · 184 lines · 60 tokens per session scan A 27d94bb32e80
format-str-prompted-generator is a skill published in the GitHub repository OpenDCAI/DataFlow-WebUI (231 stars, last pushed 11d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,301 once invoked, about $0.0003 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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