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 voxel51/fiftyone-skills --skill fiftyone-generate-data-lens-connectorgit clone --depth 1 https://github.com/voxel51/fiftyone-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/voxel51/fiftyone-skills/fiftyone-generate-data-lens-connector)<a href="https://agentmods.dev/skills/voxel51/fiftyone-skills/fiftyone-generate-data-lens-connector"><img src="https://agentmods.dev/badge/skills/voxel51/fiftyone-skills/fiftyone-generate-data-lens-connector/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/voxel51/fiftyone-skills/fiftyone-generate-data-lens-connector"><img src="https://agentmods.dev/badge/skills/voxel51/fiftyone-skills/fiftyone-generate-data-lens-connector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 35 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00075 | $0.02391 |
| Opus 5 | $0.00037 | $0.01196 |
| Sonnet 5 | $0.00015 | $0.00478 |
| Haiku 4.5 | $0.00007 | $0.00239 |
Grade A, and why
fiftyone-generate-data-lens-connector 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 13d 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 — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate Data Lens Connector
Generate a fully functional DataLensOperator plugin from a user-provided
database
schema. The generated connector lets users browse, preview, and import samples
from
their external data source directly through the FiftyOne App's Data Lens panel.
Enterprise Notice
Data Lens is a FiftyOne Enterprise feature. Before proceeding, inform the user:
Note: Data Lens is an enterprise-only feature available in FiftyOne Enterprise. The connector generated by this skill requires a FiftyOne Enterprise deployment to run. If you're using the open-source version of FiftyOne, this connector will not work in your environment.
Would you like to proceed?
Wait for the user to confirm before continuing. If they ask about alternatives for OSS, suggest they look into custom operators for similar data-import workflows, or the standard dataset import utilities.
Key Directives
ALWAYS follow these rules:
1. Schema first, code second
Never generate connector code until you fully understand the source schema. Ask clarifying questions about anything ambiguous — column semantics, coordinate systems, filepath conventions, image dimensions.
2. Propose the field mapping before generating
Present a clear table mapping source columns to FiftyOne field types. Get user approval before writing any code. This is the most important step — a connector that maps fields wrong is worse than no connector.
3. Use parameterized queries
Never interpolate user input directly into SQL strings. Use the database
driver's
parameterized query mechanism (e.g., %s for psycopg, @param for BigQuery,
:param for Databricks).
4. Respect the batching contract
Always yield DataLensSearchResponse objects in batches of
request.batch_size.
Buffer results and yield when the buffer is full, plus a final yield for
remaining
samples.
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.
- 13d ago First seen · 333 lines · 75 tokens per session scan A 6e82148f3cb3
fiftyone-generate-data-lens-connector is a skill published in the GitHub repository voxel51/fiftyone-skills (39 stars, last pushed today), licensed Apache-2.0. It adds 75 tokens to every session and 2,391 once invoked, about $0.0004 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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