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 binggandata/bggg-skills --skill bggg-data-redditgit clone --depth 1 https://github.com/binggandata/bggg-skillsWrote 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/binggandata/bggg-skills/bggg-data-reddit)<a href="https://agentmods.dev/skills/binggandata/bggg-skills/bggg-data-reddit"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-data-reddit/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/binggandata/bggg-skills/bggg-data-reddit"><img src="https://agentmods.dev/badge/skills/binggandata/bggg-skills/bggg-data-reddit.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 | $0.00099 | $0.01178 |
| Opus 5 | $0.00049 | $0.00589 |
| Sonnet 5 | $0.00020 | $0.00236 |
| Haiku 4.5 | $0.00010 | $0.00118 |
Grade A, and why
bggg-data-reddit 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 13d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BGGG Reddit Data
Use Reddit's public JSON listings through a logged-in or public Chrome tab when direct shell access is blocked. Save every response before transforming it, then normalize locally with the bundled script.
VOC Project Layout（bggg 系列共用）
bggg VOC 系列 skill（bggg-data-amazon / bggg-data-reddit / bggg-data-x / bggg-voc-report / industry-orchestrator）共用一个项目文件夹，让多平台数据规整到同一处、下游分析零改路径。开工先确定项目根目录 <project>（用户指定，或新建 voc-<产品或主题slug>/），并从 <project> 根目录执行本 skill 的全部命令（下文相对路径都基于它）：
<project>/
PROJECT.md # 研究简报 + 决策日志（编排 skill 维护；单独使用可省）
config/ # 采集目标：amazon_targets.tsv / reddit_queries.tsv / x_queries.tsv / keywords.txt
work/<platform>/… # 各平台原始证据、attempt 日志、request plan、manifest
data/raw/ # 各平台规范化 JSONL（统一行契约，分析共用层）
data/clean|coded/ # 下游清洗与编码（industry-orchestrator 维护）
output/ # 报告与交付物（bggg-voc-report 写 output/report/）
本 skill 的落点：config/reddit_queries.tsv → work/reddit/（request plan 与 manifest）+ data/raw/source_json/（未修改源响应）→ data/raw/reddit_<lang>_<date>.jsonl。
Workflow
- Define a small query file and build a request plan:
python3 scripts/build_request_plan.py \
--queries config/reddit_queries.tsv \
--output work/reddit/request_plan.json
Use tab-separated columns query, lang, and round. lang and round are optional.
-
Open
https://www.reddit.com/in Chrome. Fetch each planned URL from that Reddit page with same-originfetch, including pagination throughdata.after. Do not read or export browser cookies, local storage, profile data, or credentials. -
Save each unmodified response under
data/raw/source_json/and append one manifest row per saved file. Follow references/chrome_same_origin.md for the browser loop and manifest format. -
Rank directly relevant parent posts by engagement and topical fit. Download complete comment trees for the highest-value parents with
/comments/{post_id}.json?limit=500&depth=10&sort=top&raw_json=1. Treat replies as clustered under their parent thread; do not count thousands of replies from one viral thread as independent market prevalence.
What ships with it
5 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.
- 13d ago First seen · 77 lines · 99 tokens per session scan A e586db59448e
bggg-data-reddit is a skill published in the GitHub repository binggandata/bggg-skills (594 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 1,178 once invoked, about $0.0005 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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