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 agentmods add skills/chianw/c31/agent-reachnpx skills add ChianW/C31 --skill agent-reachgit clone --depth 1 https://github.com/ChianW/C31Wrote 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/chianw/c31/agent-reach)<a href="https://agentmods.dev/skills/chianw/c31/agent-reach"><img src="https://agentmods.dev/badge/skills/chianw/c31/agent-reach.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01193 |
| Opus 5 | $0.00000 | $0.00596 |
| Sonnet 5 | $0.00000 | $0.00239 |
| Haiku 4.5 | $0.00000 | $0.00119 |
Grade A, and why
agent-reach 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent-Reach Integration
Status: 已安装 3 个上游工具（yt-dlp, twitter-cli, rdt-cli） 覆盖: YouTube / B站 字幕提取, Twitter 读取/搜索, Reddit 读取/搜索 依赖: yt-dlp (免认证), twitter-cli (需 Cookie), rdt-cli (需 Cookie) Tags: #external-intelligence #social-media #tech-pulse
工具映射
| 工具 | 命令 | 状态 | 认证要求 |
|---|---|---|---|
| yt-dlp | yt-dlp URL |
✅ 可用 | 无需认证 |
twitter tweet URL |
✅ 待认证 | 需 Cookie | |
| rdt | rdt search "关键词" |
✅ 待认证 | 需 Cookie |
核心用法
视频字幕提取（YouTube / B站）
# 提取字幕（自动选择可用字幕）
yt-dlp --write-sub --skip-download --sub-langs en,zh-CN,zh-TW "URL"
# 提取所有可用字幕 + 元数据
yt-dlp --dump-json --skip-download "URL" | jq '{title, description, duration, upload_date, uploader}'
# 提取音频并转文字（需 Whisper 可选）
yt-dlp --extract-audio --audio-format mp3 --audio-quality 0 -o "audio.%(ext)s" "URL"
Twitter 读取/搜索（需 Cookie）
# 读单条推文
twitter tweet "https://x.com/username/status/12345"
# 搜索推文
twitter search "关键词" --limit 20
# 搜索用户
twitter search users "用户名" --limit 10
Reddit 读取/搜索（需 Cookie）
# 搜索帖子
rdt search "关键词" --limit 20
# 读帖子 + 评论
rdt read POST_ID
# 指定 subreddit 搜索
rdt search "关键词" --subreddit=LocalLLaMA --limit 20
整合到 Tech Pulse 工作流
场景：每日 Twitter 技术热点
# 获取 AI / LLM 相关热门讨论
twitter search "LLM OR AI OR OpenAI OR Claude" --limit 30 --min-likes 100
场景：B站/YouTube 视频内容研究
# 方式一：yt-dlp 直接提取字幕（需代理，最准确）
yt-dlp --write-sub --skip-download --sub-langs zh-CN "$VIDEO_URL" 2>/dev/null
# 方式二：fallback 到第三方转录稿搜索
# 当 yt-dlp 失败时，自动搜索 Lilys.ai / Glasp / 笔记站等第三方转录
# 详见: skills/video-content-analysis/SKILL.md
# 方式三：最终 fallback 提取页面元数据
kimi_fetch "$VIDEO_URL" | head -200
场景：Reddit 技术趋势监控
# r/LocalLLaMA 热门帖子
rdt search "" --subreddit=LocalLLaMA --limit 20 --sort=hot
# r/machinelearning 周讨论
rdt search "" --subreddit=machinelearning --limit 20 --sort=hot
认证配置（Cookie 登录）
Twitter Cookie 配置
⚠️ 使用专用小号，不要主账号。封号风险。
方法：浏览器登录 x.com → Cookie-Editor 插件导出 Cookie → 传给 Agent 配置
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.
- 5d ago First seen · 155 lines · 0 tokens per session scan A c6b2d8a4dda1
agent-reach is a skill published in the GitHub repository ChianW/C31 (1 stars, last pushed 10d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,193 tokens. 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 2026-08-31.
Other skills, from other repositories
compare-harnesses
Diff two scaffolded harnesses (ADR-031). Reports manifest meta drift + host list + per-file fingerprint changes (added/removed/changed). Exits 0 IDENTICAL, 1 DRIFT, 2 missing manifest. Use --bundle for the ADR-031 schema-1 JSON envelope.
create-harness
Scaffold your own focused AI agent harness — pick host (Claude Code, Codex, pi.dev, Hermes), template, agents, skills, and ship a npm-publishable harness with its own npx CLI. Use when a user asks to "create my own agent harness", "scaffold a harness", "make a custom Claude Code plugin like ruflo", or "build a…
diag-harness
Kernel-version skew check (ADR-027). Reports manifest surface + manifest kernel + installed kernel + verdict (match/patch-diff/minor-diff/major-diff). Exits 1 on minor/major skew with a copy-pasteable npm install @metaharness/[email protected] next step. Exits 2 if no .harness/manifest.json at path.
oia-manifest
Emit .harness/oia-manifest.json declaring layer alignment with the OIA v0.1 9-layer reference architecture. Self-describes the harness's MCP wiring, witness signing, audit log, identity posture (always 'none' at v0.1). --check verifies an existing manifest, --dry-run prints without writing, --json emits to stdout.
repo-genome
7-section readiness scorecard for a LOCAL repo. Reports repo type + agent topology + MCP risk + test confidence + release readiness + recommended harness plan + scorecard. Exit 0 ready, 1 needs-work, 2 blocked. --json for the 6-field scorecard, --bundle for the ADR-031 schema-1 envelope.
example-harness
Scaffold a ready-made AI agent harness in one command from the 19 published @metaharness/ example packages — 9 host integrations (Claude Code, Codex, Hermes, pi.dev, OpenClaw, RVM, Copilot, OpenCode, GitHub Actions) + 10 vertical pods (devops, research, trading, support, legal, coding, education, sales, gaming…