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 returdex/EvidenceLens-MCP --skill el-finalgit clone --depth 1 https://github.com/returdex/EvidenceLens-MCPWrote 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/returdex/evidencelens-mcp/el-final)<a href="https://agentmods.dev/skills/returdex/evidencelens-mcp/el-final"><img src="https://agentmods.dev/badge/skills/returdex/evidencelens-mcp/el-final/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/returdex/evidencelens-mcp/el-final"><img src="https://agentmods.dev/badge/skills/returdex/evidencelens-mcp/el-final.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 | $0.00019 | $0.00153 |
| Opus 5.5 | $0.00008 | $0.00061 |
| Sonnet 5.5 | $0.00004 | $0.00031 |
| Haiku 4.5 | $0.00002 | $0.00015 |
Grade A, and why
el-final scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
el-final
调用动作：intent=review，stage=final；现在做收尾检查，缺稿仍保留 final 并报告 unknown。
读取共享命令与执行约定，选择 el-final 行并遵循适用路径。共享文件相对本 Skill 目录定位，不能依赖作业 cwd。文件缺失时报告具体缺失组件，请重新安装入口及 assignment-review；不临时编造替代规则。
示例：$el-final 当前稿 current-v2，只核查文字。
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.
- 10d ago First seen · 13 lines · 19 tokens per session scan A 46fcccbdba16
el-final is a skill published in the GitHub repository returdex/EvidenceLens-MCP (0 stars, last pushed 9d ago), licensed MIT. It adds 19 tokens to every session and 153 once invoked, about $0.0001 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 2026-10-05.
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