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 carlopi/duckdb-claude-skills --skill read-filegit clone --depth 1 https://github.com/carlopi/duckdb-claude-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/carlopi/duckdb-claude-skills/read-file)<a href="https://agentmods.dev/skills/carlopi/duckdb-claude-skills/read-file"><img src="https://agentmods.dev/badge/skills/carlopi/duckdb-claude-skills/read-file/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/carlopi/duckdb-claude-skills/read-file"><img src="https://agentmods.dev/badge/skills/carlopi/duckdb-claude-skills/read-file.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 | $0.00054 | $0.00942 |
| Opus 5 | $0.00027 | $0.00471 |
| Sonnet 5 | $0.00011 | $0.00188 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade A, and why
read-file 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 11d 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
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 11d ago First seen · 83 lines · 54 tokens per session scan A 4b682ef0c738
read-file is a skill published in the GitHub repository carlopi/duckdb-claude-skills (2 stars, last pushed 5mo ago), with no licence file. It adds 54 tokens to every session and 942 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 2026-08-31.
Other skills, from other repositories
fda-analyst
Answer questions about FDA drug approvals — the basis for approval, the trials, the endpoints, the regulatory pathway, the adverse events flagged in the medical review. Use when the user asks about a specific FDA-approved drug (especially one approved 2021–2024), wants the actual evidence behind an approval rather…
anofox-forecast-models
Forecasting models and the tsforecastby / tsforecastvarby API surface of the anofoxforecast DuckDB extension. Covers 36 models (baseline, exponential smoothing, state-space ARIMA + Kalman, classical GARCH, Theta, multi-seasonal, intermittent-demand, distributional Laplace with three variants, panel/global…
anofox-forecast-backtest
Backtesting, cross-validation, evaluation metrics, and conformal prediction intervals for the anofoxforecast DuckDB extension. Use when evaluating forecast accuracy, comparing models with time-series-aware CV, computing metrics (MAE / RMSE / MAPE / MASE / coverage), or attaching distribution-free prediction intervals…
anofox-forecast-detection
Seasonality, changepoint, peak, and decomposition detection for the anofoxforecast DuckDB extension. Use when identifying seasonal periods before configuring seasonal forecasting models, detecting structural breaks, analysing peak timing regularity, or decomposing a series into trend / seasonal / residual components.
hcris-analyst
Answer questions about U.S. nonprofit hospital financials, beds, staffing, charity care, and community benefit by querying CMS Medicare Cost Reports (HCRIS) and IRS Form 990 Schedule H filings. Use when the user asks about a specific hospital's cost-report numbers, peer context across hospitals, the meaning of a…
anofox-forecast-eda
Exploratory data analysis and data quality for the anofoxforecast DuckDB extension — 34 per-series statistics, data-quality scoring, quality-report summaries, and 117 tsfresh-compatible feature extraction. Use before forecasting to understand series characteristics (length, gaps, trend, seasonality strength…