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 skills/opendcai/dataflow-webui/prompted-filternpx skills add OpenDCAI/DataFlow-WebUI --skill prompted-filtergit 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/prompted-filter)<a href="https://agentmods.dev/skills/opendcai/dataflow-webui/prompted-filter"><img src="https://agentmods.dev/badge/skills/opendcai/dataflow-webui/prompted-filter.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 | $0.00047 | $0.01101 |
| Opus 5 | $0.00023 | $0.00550 |
| Sonnet 5 | $0.00009 | $0.00220 |
| Haiku 4.5 | $0.00005 | $0.00110 |
Grade A, and why
prompted-filter 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 5d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PromptedFilter Operator Reference
PromptedFilter internally uses PromptedEvaluator to score each row of text, writes the score into output_key, and keeps only rows with scores in [min_score, max_score].
1. Import
from dataflow.operators.core_text import PromptedFilter
2. Constructor
PromptedFilter(
llm_serving,
system_prompt="Please evaluate the quality of this data on a scale from 1 to 5.",
min_score=1,
max_score=5,
)
| Parameter | Required | Default | Description |
|---|---|---|---|
llm_serving |
Yes | None | LLM service object implementing generate_from_input(...). Internally passed to PromptedEvaluator. |
system_prompt |
No | "Please evaluate the quality of this data on a scale from 1 to 5." |
Defines the LLM's scoring criteria. The scale described should align with min_score/max_score. |
min_score |
No | 1 |
Lower bound of the score range to keep (inclusive). |
max_score |
No | 5 |
Upper bound of the score range to keep (inclusive). |
Important Constructor Notes
- The operator creates an internal
PromptedEvaluator(llm_serving, system_prompt)instance. - Source code comment at line 35 incorrectly states
min_scoredefault is5; actual default is1. - Source code comment at line 36 incorrectly states
max_scoredefault is5; actual default is5(correct).
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.
- 5d ago First seen · 126 lines · 47 tokens per session scan A 297a28244937
prompted-filter is a skill published in the GitHub repository OpenDCAI/DataFlow-WebUI (231 stars, last pushed 9d ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,101 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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