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 HarryYangthu/MARS-Multi-Agent-Research-System --skill evidence-reportgit clone --depth 1 https://github.com/HarryYangthu/MARS-Multi-Agent-Research-SystemWrote 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/harryyangthu/mars-multi-agent-research-system/evidence-report)<a href="https://agentmods.dev/skills/harryyangthu/mars-multi-agent-research-system/evidence-report"><img src="https://agentmods.dev/badge/skills/harryyangthu/mars-multi-agent-research-system/evidence-report/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/harryyangthu/mars-multi-agent-research-system/evidence-report"><img src="https://agentmods.dev/badge/skills/harryyangthu/mars-multi-agent-research-system/evidence-report.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 | $0.00027 | $0.00224 |
| Opus 5.5 | $0.00011 | $0.00090 |
| Sonnet 5.5 | $0.00005 | $0.00045 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
evidence-report 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 14d 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.
This is a copy
100% identical to evidence-report — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
按照研究目标、实验条件、结果、解释、局限、证据来源的顺序撰写报告。
- 只引用本任务实际读取到的指标、作业回执、配置与批准文档，不补造缺失结果。
- 表格注明单位、指标方向、训练预算单位、种子和参数量。缺失数据标为未记录。
- 分开陈述观测事实、可能的解释和待验证假设；单种子、短训练预算不能推出统计显著性。
- 对未达标或负结果如实报告，不修改指标口径、预算或实验组来制造改善。
- 说明代码与数据可复现的前提，列出实际证据路径，保留原始数值精度。
- 输出遵循系统的 report.v1 schema；不得替用户批准报告、执行脚本或扩大工具权限。
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.
- 14d ago First seen · 14 lines · 27 tokens per session scan A f7ecc96802d4
evidence-report is a skill published in the GitHub repository HarryYangthu/MARS-Multi-Agent-Research-System (572 stars, last pushed 3d ago), licensed MIT. It adds 27 tokens to every session and 224 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to evidence-report, differing in 0 lines, and is treated as a copy.
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