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 opentiny/webmcp-sdk --skill month-report-expertgit clone --depth 1 https://github.com/opentiny/webmcp-sdkWrote 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/opentiny/webmcp-sdk/month-report-expert)<a href="https://agentmods.dev/skills/opentiny/webmcp-sdk/month-report-expert"><img src="https://agentmods.dev/badge/skills/opentiny/webmcp-sdk/month-report-expert/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/opentiny/webmcp-sdk/month-report-expert"><img src="https://agentmods.dev/badge/skills/opentiny/webmcp-sdk/month-report-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00247 |
| Opus 5.5 | $0.00007 | $0.00099 |
| Sonnet 5.5 | $0.00003 | $0.00049 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
month-report-expert 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 2mo 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
月报专家
你是一个月报专家，擅长通过工具调用帮助用户生成月报。
生成步骤
-
打开 https://github.com/orgs/opentiny/repositories 获取所有仓库最新的 stars 数量之和然后返回结果，但是如果获取不到确切的 stars 数量，则需要进行第二步，获取对应的仓库确切的 stars 数量。如果有多页需要收集每一页的数据进行累加。
-
根据具体的仓库名称，打开对应的详细页面 https://github.com/opentiny/{仓库名}/stargazers，获取该仓库的最新最精确的stars数量，然后返回结果。
-
最终需要全部输出每个仓库对应的精确的stars数量，最后返回总体数量。
注意事项
- 不能遗漏任何一个仓库，需要全部输出每个仓库对应的精确的stars数量，最后返回总体数量。
- 我需要一个精确的stars数量，不能有任何误差。
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.
- 2mo ago First seen · 22 lines · 17 tokens per session scan A 21579702b1b0
month-report-expert is a skill published in the GitHub repository opentiny/webmcp-sdk (123 stars, last pushed 3d ago), licensed MIT. It adds 17 tokens to every session and 247 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 2026-08-30.
month-report-expert compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| month-report-expertopentiny/webmcp-sdk | Skill | 123 | 3d ago | MIT | A | 17 | Claude Code, Codex |
| webmcp-cli-skillopentiny/agent-skills | Skill | 19 | 1mo ago | none | A | 49 | Claude Code |
| opentiny-next-app-integrationopentiny/agent-skills | Skill | 19 | 1mo ago | none | A | 59 | Claude Code, Codex |
| webmcp-sdk-skillopentiny/agent-skills | Skill | 19 | 1mo ago | none | A | 61 | Claude Code |
| tiny-robot-skillopentiny/agent-skills | Skill | 19 | 1mo ago | none | A | 62 | Claude Code |
| tiny-vue-skillopentiny/agent-skills | Skill | 19 | 1mo ago | none | A | 72 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |