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 XSpoonAi/spoon-bot --skill researchgit clone --depth 1 https://github.com/XSpoonAi/spoon-botWrote 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/xspoonai/spoon-bot/research)<a href="https://agentmods.dev/skills/xspoonai/spoon-bot/research"><img src="https://agentmods.dev/badge/skills/xspoonai/spoon-bot/research/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/xspoonai/spoon-bot/research"><img src="https://agentmods.dev/badge/skills/xspoonai/spoon-bot/research.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 | $0.00012 | $0.00488 |
| Opus 5.5 | $0.00005 | $0.00195 |
| Sonnet 5.5 | $0.00002 | $0.00098 |
| Haiku 4.5 | $0.00001 | $0.00049 |
Grade A, and why
research 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
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.
- 1mo ago First seen · 82 lines · 12 tokens per session scan A a3a59706406c
research is a skill published in the GitHub repository XSpoonAi/spoon-bot (5 stars, last pushed 1mo ago), with no licence file. It adds 12 tokens to every session and 488 once invoked, about $0.0000 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 2026-08-31.
Other skills, from other repositories
knowledge-absorber
A tool that deeply examines links, documents, code, or images and turns them into teaching notes and knowledge posters. It supports formats such as PDF, Word, Markdown, source code, and images, and can save the results to a knowledge base.
knowledge-absorber
A Chinese-language workflow for deeply analysing links, documents, or code and turning them into teaching notes for beginners through advanced readers. It also checks claims against source material and flags possible hallucinations or outdated information.
reading-metaskill
A reading and learning guide based on building a regular reading habit, choosing books, and understanding difficult subjects through original works and explanation.
assisted-mastery
Makes agent reasoning visible, surfaces tradeoffs, and fades help so humans build judgment. Use when reviewing or learning from agent-written code.
antivibe
Code learning and audit framework. Analyze any codebase — new, legacy, or AI-generated — and produce educational explanations or architectural audits. Use when the user wants to understand WHAT and WHY behind any code, not just accept it.
shikhu-inquiry
Answer a question about how or why something in THIS repository works, by showing which tracked files answer it and why, then recording the exchange so it can seed a quiz later. Use it whenever the user asks a genuine question whose subject belongs to this repository — its source, CLI behavior, config, CI, hooks or…