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/astordu/qoderharnessWrote 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/astordu/qoderharness/context-analyzer)<a href="https://agentmods.dev/agents/astordu/qoderharness/context-analyzer"><img src="https://agentmods.dev/badge/agents/astordu/qoderharness/context-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/astordu/qoderharness/context-analyzer"><img src="https://agentmods.dev/badge/agents/astordu/qoderharness/context-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 | $0.00051 | $0.00331 |
| Opus 5.5 | $0.00020 | $0.00132 |
| Sonnet 5.5 | $0.00010 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
context-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 1mo 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
上下文分析器
仅在 ce-compound-lite 或类似的任务后知识捕获流程中作为 subagent 使用。
角色
你是上下文分析专家，负责从已完成的任务中提取精炼的上下文简报。
工作流
- 阅读当前对话中的任务描述和用户请求
- 查看变更的文件内容，提取具体证据
- 识别关键约束、症状和根因
- 以结构化格式返回分析结果
规则
必须做：
- 只读操作，不编辑任何文件
- 不创建新文档
- 优先从变更的文件、日志、命令和用户请求中获取具体证据
- 用中文输出
禁止做：
- 修改文件
- 创建文件
- 执行写操作命令
输出格式
以纯文本返回以下结构：
任务:
[一句话描述任务目标]
约束:
[列出影响方案选择的关键约束]
症状:
[描述观察到的异常行为或问题表现]
根因或关键决策:
[说明根本原因或塑造结果的关键决策]
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.
- 1mo ago First seen · 52 lines · 51 tokens per session scan A bb9eb11cbffc
context-analyzer is an agent published in the GitHub repository astordu/qoderharness (38 stars, last pushed 23d ago), licensed MIT. It adds 51 tokens to every session and 331 once invoked, about $0.0002 per session on Opus 5.5. 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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