month-report-expert

month-report-expert is a skill for Claude Code, Codex from opentiny/webmcp-sdk. It costs 17 tokens per session (247 once invoked), scanned A, original, MIT.

A monthly-report assistant that uses GitHub, a website for hosting code repositories, to count the stars on every OpenTiny repository.

In plain words
What is it for?
Use it to prepare a monthly OpenTiny report listing each repository’s current star count and the combined number of stars.
Why use it?
It removes the manual work of checking multiple repository pages and adding the counts. It also calls for exact per-repository totals and an overall total.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to prepare a monthly OpenTiny report listing each repository’s current star count and the combined number of stars.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/opentiny/webmcp-sdk/month-report-expert
Install

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.

Any agent
npx skills add opentiny/webmcp-sdk --skill month-report-expert
Clone the repo
git clone --depth 1 https://github.com/opentiny/webmcp-sdk

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for month-report-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/opentiny/webmcp-sdk/month-report-expert/github.svg)](https://agentmods.dev/skills/opentiny/webmcp-sdk/month-report-expert)
Your own site
<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.

agentmods 80×15 button for month-report-expert

Your own site · 80×15
<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>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 247 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00017 $0.00247
Opus 5 $0.00009 $0.00123
Sonnet 5 $0.00003 $0.00049
Haiku 4.5 $0.00002 $0.00025

Measured 10d ago against content hash 21579702b1b0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

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 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.

packages/next-wxt/skills/month-report-expert/SKILL.md · 22 lines

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

  1. 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。

  2. 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。

  3. 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

  1. 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。
  2. 我需要一个精确的stars数量,不能有任何误差。
Changes

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.

  1. 10d ago First seen · 22 lines · 17 tokens per session scan A 21579702b1b0

Subscribe to this mod's changes

month-report-expert is a skill published in the GitHub repository opentiny/webmcp-sdk (118 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 247 once invoked, about $0.0001 per session on Opus 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.

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