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 buildswithpaul/Frappe_Assistant_Core --skill insight_v3git clone --depth 1 https://github.com/buildswithpaul/Frappe_Assistant_CoreWrote 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/buildswithpaul/frappe_assistant_core/insight_v3)<a href="https://agentmods.dev/skills/buildswithpaul/frappe_assistant_core/insight_v3"><img src="https://agentmods.dev/badge/skills/buildswithpaul/frappe_assistant_core/insight_v3/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/buildswithpaul/frappe_assistant_core/insight_v3"><img src="https://agentmods.dev/badge/skills/buildswithpaul/frappe_assistant_core/insight_v3.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00133 | $0.05796 |
| Opus 5.5 | $0.00053 | $0.02318 |
| Sonnet 5.5 | $0.00027 | $0.01159 |
| Haiku 4.5 | $0.00013 | $0.00580 |
Grade A, and why
insights-dashboard 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 1mo 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 1mo ago First seen · 625 lines · 133 tokens per session scan A 2a27b9691c3a
insights-dashboard is a skill published in the GitHub repository buildswithpaul/Frappe_Assistant_Core (333 stars, last pushed today), licensed AGPL-3.0. It adds 133 tokens to every session and 5,796 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-08.
Other skills, from other repositories
reusable-visualization
Build ONE reusable chart visualization component that receives its data and its settings from the host application instead of fetching them, and declares the fields and config options the host exposes to viewers. Use this whenever a single chart component is reused across many different queries rather than built for…
developing-in-lightdash
Use when reading, creating, and editing Lightdash dashboards and charts as JSON, including dashboard layout and chart-type-specific configuration.
sdk-features
Map Lightdash SDK capabilities to their host-UI names and the app-code wiring each needs. Use when the user asks about a feature by name (Inspect data, drill-down, exports, shareable URLs), when offering newly available features after a template upgrade, or when wiring a host-facing capability into the app.
upgrade-preflight
Checks whether a self-hosted Lightdash upgrade is safe to run, and reads the tooling's answer without over-reading it. Use when upgrading a self-hosted instance, planning a maintenance window, answering "is this upgrade safe", or recovering a failed, hung, parked or lock-stuck migration — covers lightdash…
developing-chart-types-locally
Use when editing a locally created or downloaded Lightdash custom chart type (dataappviz) — the vizSchema/component lockstep contract, the upload-and-verify loop, the local fixture preview, and how a chart type reaches the official registry.
developing-data-apps-locally
Use when editing a locally created or downloaded Lightdash data app — how local editing, building, and uploading work, and what is read-only.