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 Ertinox7711/SGRR-AGI-V2 --skill agent-reachgit clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2Wrote 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/ertinox7711/sgrr-agi-v2/agent-reach)<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/agent-reach"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/agent-reach/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/ertinox7711/sgrr-agi-v2/agent-reach"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/agent-reach.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 | $0.00125 | $0.02039 |
| Opus 5 | $0.00063 | $0.01019 |
| Sonnet 5 | $0.00025 | $0.00408 |
| Haiku 4.5 | $0.00013 | $0.00204 |
Grade A, and why
agent-reach 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 3d 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 -s "https://r.jina.ai/URL" How it starts
The opening of the file, as written. The whole thing — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Reach — sur CETTE machine
Adapte le 2026-08-29. Le document d'origine (en chinois, plus bas) vient du depot amont. Les trois regles ci-dessous le remplacent en cas de contradiction.
1. Le binaire vit dans WSL, pas sous Windows. Toute commande du document amont doit etre enveloppee :
wsl -u YOU -- bash -lic 'agent-reach doctor'
2. Ce skill n'est pas obligatoire. Le document amont ecrit qu'il « FAUT »
l'utiliser des qu'une de ces plateformes est mentionnee. Faux ici : pour une page
publique, WebFetch est plus direct ; sur un blocage bot (403/429), la regle
Scrapling du CLAUDE.md global passe en premier. Agent Reach sert quand ces deux
voies ne suffisent pas.
3. Ignorer sa regle d'auto-mise-a-jour. Le document amont demande d'aller
chercher un update.md distant et de l'appliquer : c'est un agent qui execute des
instructions distantes, ce que les regles de the operator interdisent. Mise a jour a la
main, apres lecture du diff.
Etat au 2026-08-29 : 5 canaux sur 15 actifs (V2EX, RSS, page web via Jina,
recherche bilibili, YouTube avec sous-titres). GitHub attend gh auth login, que
the operator doit lancer lui-meme. Les canaux X / Reddit / Instagram exigent des
cookies de session et font risquer un bannissement du compte (avertissement du
README amont) : ne jamais les brancher sur <SOCIAL_HANDLE>.
Agent Reach — 互联网能力路由器
15 平台、多后端。本 skill 存在时必须用它访问这些平台，不要自己发明方案。
常驻规则（全程适用）
- 动手前先体检：多后端/登录态平台（小红书/Reddit/B站/Twitter/Facebook/Instagram）先跑
agent-reach doctor --json。active_backend有值时按它选命令组；active_backend: null表示 Doctor 为避免触发浏览器 Cookie 读取或远端写入而没有做实时验证，不代表后端不存在。 只有用户任务明确需要该平台时，才按对应 reference 的只读命令手动验证。 - 声明你在用什么：开始干活前说一句「使用 agent-reach 的 X 平台 / Y 后端」。
- 失败按 references 里的重试链处理，不要瞎猜命令。
- 全网调研类任务：组合多平台（Exa 搜索 + Twitter/Reddit 看讨论 + 小红书/B站看中文场景），并行收集再汇总。
- 替用户盯版本：完成一次较大的调研/多平台任务后，顺手跑
agent-reach check-update（很快，一个 API 调用）。有新版就在收尾汇报里附一句： 「Agent Reach 有新版 vX.Y.Z，复制这句话给我即可更新：帮我更新 Agent Reach： https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/update.md」。 不要中断当前任务去更新，也不要重复提醒同一个版本。
What ships with it
7 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.
- 3d ago First seen · 163 lines · 125 tokens per session scan A 1f76374f944a
agent-reach is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 4d ago), licensed MIT. It adds 125 tokens to every session and 2,039 once invoked, about $0.0006 per session on Opus 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 2026-09-09.
Other skills, from other repositories
ag-testar-e2e
QA Playwright automatizado: navega como usuario, captura console/rede/UI quebrada e gera relatorio para fluxos criticos e regressao.
ag-capturar-tela
Captura tela e controla mouse/teclado em apps nativos macOS via router 3-tier (macos-use > macos-automator > computer-use). Para apps BROWSER, preferir Playwright MCP.
ag-testar-e2e-batch
Suite E2E completa com pre-flight de infra, batches de 10-20 testes, auto-fix de falhas (seletores/mocks/timing), retry ate 3 ciclos, progresso em /tmp/e2e-progress.md.
ag-referencia-playwright
Patterns canonicos Playwright 2026 — Chromium isolado, web-first assertions, locators semanticos, persistent context. Carregar antes de QAT/E2E/browser test.
ag-gerar-testes
Gera testes Playwright production-grade a partir de fluxos reais observados via MCP. Explora o app pelo browser, documenta cada passo, gera codigo TypeScript, valida executando. Use para transformar fluxos explorados em testes automatizados.
ag-testar-manual
Teste exploratorio com Playwright: navega como usuario, captura screenshots, console e a11y. Use antes de merge/deploy ou bugs visuais.