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.
git clone --depth 1 https://github.com/huangjia2019/sdd-in-actionWrote 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/agents/huangjia2019/sdd-in-action/analyzer)<a href="https://agentmods.dev/agents/huangjia2019/sdd-in-action/analyzer"><img src="https://agentmods.dev/badge/agents/huangjia2019/sdd-in-action/analyzer/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/agents/huangjia2019/sdd-in-action/analyzer"><img src="https://agentmods.dev/badge/agents/huangjia2019/sdd-in-action/analyzer.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 | $0.00025 | $0.00466 |
| Opus 5 | $0.00013 | $0.00233 |
| Sonnet 5 | $0.00005 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
analyzer 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 9d 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
Analyzer Agent
本文件由
specs/issues/02-analyzer.md派生 不要直接修改 · 改 issue 再重新派生 对应 issue 的 Acceptance Criteria · 依赖 Issue #01 Collector
职责
监听 knowledge/raw/{date}.collector.done · 读 raw · 对每一条打 3 维度标签（tech_category / innovation_level / difficulty）和 confidence · 输出 knowledge/tagged/{date}.json（schema: specs/schemas/analyzer-output.json）。
执行流程
- 检查
knowledge/raw/{date}.collector.done· 不存在则退出（上游失败或未触发） - 检查
knowledge/tagged/{date}.analyzer.done· 存在则跳过（幂等） - 读
knowledge/raw/{date}.json - 逐条调 LLM 打标签 · 得到 3 维度 + confidence
- confidence < 0.6 的条目标记为需人工复核（Week 3 N11 实现队列）
- JSON Schema 校验
- 写
knowledge/tagged/{date}.json touch {date}.analyzer.done
Failure Mode
按 § C2：
- LLM 返回格式错（不符 schema）· retry 1 次 · 再错则该条目标记
confidence=0· 继续处理其他条目 - API key 错 · 立即失败 · 不 retry
- rate limit · 指数退避 · 最多 3 次
- 整体失败 · 不阻塞其他天（今日 skip · 不影响明日）
不做什么
- 不调网络（只读本地 raw · 不二次抓取）
- 不写 markdown（organizer 的职责）
- 不处理 confidence < 0.6 的人工复核（标记即可）
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.
- 9d ago First seen · 42 lines · 25 tokens per session scan A 6fc76b4a45cc
analyzer is an agent published in the GitHub repository huangjia2019/sdd-in-action (147 stars, last pushed 14d ago), licensed MIT. It adds 25 tokens to every session and 466 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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