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 rcy1314/echo-noise --skill skillgit clone --depth 1 https://github.com/rcy1314/echo-noiseWrote 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/rcy1314/echo-noise/skill)<a href="https://agentmods.dev/skills/rcy1314/echo-noise/skill"><img src="https://agentmods.dev/badge/skills/rcy1314/echo-noise/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.
<a href="https://agentmods.dev/skills/rcy1314/echo-noise/skill"><img src="https://agentmods.dev/badge/skills/rcy1314/echo-noise/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 105 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Tool Misuse · line 105 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Tool Misuse · line 331 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
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 | $0.00063 | $0.03572 |
| Opus 5.5 | $0.00025 | $0.01429 |
| Sonnet 5.5 | $0.00013 | $0.00714 |
| Haiku 4.5 | $0.00006 | $0.00357 |
Grade A, and why
shuoshuo-notes scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl "$MCP_BASE_URL/mcp/tools" How it starts
The opening of the file, as written. The whole thing — 579 lines — stays where its author put it; the contents beside it link to each section on GitHub.
说说笔记 Skill
本 skill 仅保留一份，统一封装“说说笔记”的两种调用模式：
API 模式：默认模式，项目默认部署通常不启用 MCP 时使用MCP 模式：只有在环境明确已启用 MCP 时才使用
核心要求：
- 不默认假设 MCP 已开启
- 优先保证功能可用，再选择更合适的调用通道
- 对用户隐藏底层差异，统一输出整理后的中文结果
何时调用
当用户有以下需求时，应调用本 skill：
- 发布一条说说或笔记
- 搜索、筛选、分页浏览内容
- 查看某条内容详情
- 更新、删除、置顶内容
- 登录后台、获取或重建 token
- 查询状态、前端配置、发布日历、RSS
- 排查 API 或 MCP 是否可用
配置驱动（推荐）
为避免每次改文档，建议优先使用同目录 config.json 作为运行参数来源。
优先级建议如下：
- 用户本轮对话明确指定（最高优先）
skill/config.json中的配置- 文档默认值（最低优先）
推荐 AI 行为：
- 开始执行前先读取
skill/config.json - 将
baseUrl作为 API 基础地址 - 将
mcpBaseUrl作为 MCP HTTP/SSE 验证地址 defaultMode=api时默认走 API- 当
autoFallbackToApi=true且 MCP 不可用时自动回退 API
首次安装自动引导（无需用户先说固定指令）
当满足以下任一条件时，AI 应进入“配置引导模式”并先提问，不直接执行写操作：
baseUrl为空baseUrl仍是占位值（如your-domain.com）onboarding.completed=false且onboarding.enabled=true
引导模式建议提问顺序：
- 你的站点域名是什么（如
https://example.com）？ - 本次默认走
API还是MCP？ - 是否启用“
MCP 失败自动回退 API”？
引导完成后，AI 应在后续对话中默认沿用本轮确认的配置，并在必要时提醒你同步更新 skill/config.json。
默认工作模式
默认决策顺序必须如下：
- 先判断是否已明确可用 MCP
- 若未明确启用 MCP，则直接走 API 模式
- 若已明确启用 MCP，再根据任务选择 MCP 模式
- MCP 失败时，若等价 API 可用，应回退到 API
以下情况视为“已明确启用 MCP”：
- 用户明确说明已配置 MCP 客户端
- 环境已提供可调用的 MCP server 配置
- 已知服务运行在
final-mcp、独立mcp容器，或已暴露/mcp/*端点 - 已验证
GET /mcp/tools或GET /mcp/sse可访问
以下情况一律按“未启用 MCP”处理：
- 普通默认部署
docker-compose.yml使用主应用target: final- 只有后端服务可访问，但未确认
1315或 MCP 子进程
双模式能力总览
API 模式
API 模式为默认首选，直接调用后端 HTTP 接口。
状态：GET /api或GET /api/status配置：GET /api/frontend/config或GET /api/settings分页：GET /api/messages/page或POST /api/messages/page详情：GET /api/messages/:id搜索：GET /api/messages/search标签内容：GET /api/messages/tags/:tag标签列表：GET /api/messages/tags日历：GET /api/messages/calendarRSS：GET /rss登录：POST /api/login发布：POST /api/messages或POST /api/token/messages更新：PUT /api/messages/:id或PUT /api/token/messages/:id删除：DELETE /api/messages/:id或DELETE /api/token/messages/:id置顶：PUT /api/messages/:id/pin或PUT /api/token/messages/:id/pin读取 token：GET /api/user/token重建 token：POST /api/user/token/regenerate更新设置：PUT /api/settings或PUT /api/token/settings
What ships with it
3 files 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.
- 1mo ago First seen · 579 lines · 63 tokens per session scan A 41062a758ff0
shuoshuo-notes is a skill published in the GitHub repository rcy1314/echo-noise (57 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 3,572 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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