Borrowing it
Nothing to install: this file belongs to filippovarini/community-fish-detector-dataset. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/filippovarini/community-fish-detector-dataset/master/.claude/skills/add-dataset/SKILL.mdgit clone --depth 1 https://github.com/filippovarini/community-fish-detector-datasetWrote 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/filippovarini/community-fish-detector-dataset/add-dataset)<a href="https://agentmods.dev/skills/filippovarini/community-fish-detector-dataset/add-dataset"><img src="https://agentmods.dev/badge/skills/filippovarini/community-fish-detector-dataset/add-dataset/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/filippovarini/community-fish-detector-dataset/add-dataset"><img src="https://agentmods.dev/badge/skills/filippovarini/community-fish-detector-dataset/add-dataset.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 | $0.00123 | $0.03443 |
| Opus 5 | $0.00062 | $0.01722 |
| Sonnet 5 | $0.00025 | $0.00689 |
| Haiku 4.5 | $0.00012 | $0.00344 |
Grade B, and why
add-dataset scanned grade B with 2 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
- **Manual download fallback**: If the dataset requires login or term acceptance, have `download_data()` check if files already exist and print instructions if not. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Write a small test script or use curl/wget to test whether the download URL actually works. Run it in the tmux session. 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 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.
- 11d ago First seen · 293 lines · 123 tokens per session scan B 0f6f534db640
add-dataset is a skill published in the GitHub repository filippovarini/community-fish-detector-dataset (24 stars, last pushed 2d ago), with no licence file. It adds 123 tokens to every session and 3,443 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 2 findings (asks the agent to reveal its instructions, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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