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.
git clone --depth 1 https://github.com/zi-yue-1129/research-lab-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/plugins/zi-yue-1129/research-lab-skills/lab-tools)<a href="https://agentmods.dev/plugins/zi-yue-1129/research-lab-skills/lab-tools"><img src="https://agentmods.dev/badge/plugins/zi-yue-1129/research-lab-skills/lab-tools/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/plugins/zi-yue-1129/research-lab-skills/lab-tools"><img src="https://agentmods.dev/badge/plugins/zi-yue-1129/research-lab-skills/lab-tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
lab-tools 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 6d 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
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What it installs
The manifest is a name and a version. 5 skills, 12 agents travel with it, and installing the plugin installs all of them — 974 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill report-slides A 35 tokens
- Skill research-log A 135 tokens
- Skill agent-state A 133 tokens
- Skill research-mode A 89 tokens
- Skill resource-resolver A 94 tokens
- Agent conceptual_illustration_worker_agent A 40 tokens
- Agent annotation_worker_agent A 36 tokens
- Agent architecture_diagram_worker_agent A 43 tokens
- Agent complex_visual_decomposer_agent A 34 tokens
- Agent data_visualization_worker_agent A 48 tokens
- Agent slide_architect_agent A 36 tokens
- Agent visual_integration_agent A 40 tokens
- Agent art_direction_reviewer_agent A 43 tokens
- Agent render_integrity_reviewer_agent A 49 tokens
- Agent research_narrative_planner_agent A 42 tokens
- Agent content_reviewer_agent A 38 tokens
- Agent scientific_visual_reviewer_agent A 39 tokens
What ships with it
2 files beside marketplace.json#lab-tools 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.
- 6d ago First seen · 14 lines scan A 389071a51bc6
lab-tools is a plugin published in the GitHub repository zi-yue-1129/research-lab-skills (7 stars, last pushed 2d ago), with no licence file. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-03.
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