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 kngwyc3/Agent-Learning-Hub --skill minimal-skillgit clone --depth 1 https://github.com/kngwyc3/Agent-Learning-HubWrote 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.
![agentmods badge for [object Object]](/badge/skills/kngwyc3/agent-learning-hub/minimal-skill/github.svg?v=0-8-A){kind=icon}
[](https://agentmods.dev/skills/kngwyc3/agent-learning-hub/minimal-skill)<a href="https://agentmods.dev/skills/kngwyc3/agent-learning-hub/minimal-skill"><img src="https://agentmods.dev/badge/skills/kngwyc3/agent-learning-hub/minimal-skill/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.
![agentmods 80×15 button for [object Object]](/badge/skills/kngwyc3/agent-learning-hub/minimal-skill.svg?v=A-x){kind=icon}
<a href="https://agentmods.dev/skills/kngwyc3/agent-learning-hub/minimal-skill"><img src="https://agentmods.dev/badge/skills/kngwyc3/agent-learning-hub/minimal-skill.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 | $0.00008 | $0.00091 |
| Opus 5 | $0.00004 | $0.00046 |
| Sonnet 5 | $0.00002 | $0.00018 |
| Haiku 4.5 | $0.00001 | $0.00009 |
Grade A, and why
[object Object] 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 9d 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.
What it actually says
{{SKILL_NAME}}
Replace this heading with your skill title.
When To Use
- List concrete trigger phrases and scenarios.
When Not To Use
- List anti-patterns and out-of-scope cases.
Steps
- Step one.
- Step two.
Output
- Describe expected output format.
Verification
- List checks before returning results.
What ships with it
1 file 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.
- 9d ago First seen · 30 lines · 8 tokens per session scan A 7f97ef1a63ee
[object Object] is a skill published in the GitHub repository kngwyc3/Agent-Learning-Hub (128 stars, last pushed 2mo ago), licensed MIT. It adds 8 tokens to every session and 91 once invoked, about $0.0000 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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