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 Junjianxin/jjx-js-reverse-mcp --skill mcp-js-reverse-playbookgit clone --depth 1 https://github.com/Junjianxin/jjx-js-reverse-mcpWrote 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/junjianxin/jjx-js-reverse-mcp/mcp-js-reverse-playbook)<a href="https://agentmods.dev/skills/junjianxin/jjx-js-reverse-mcp/mcp-js-reverse-playbook"><img src="https://agentmods.dev/badge/skills/junjianxin/jjx-js-reverse-mcp/mcp-js-reverse-playbook/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/junjianxin/jjx-js-reverse-mcp/mcp-js-reverse-playbook"><img src="https://agentmods.dev/badge/skills/junjianxin/jjx-js-reverse-mcp/mcp-js-reverse-playbook.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 | $0.00060 | $0.01142 |
| Opus 5 | $0.00030 | $0.00571 |
| Sonnet 5 | $0.00012 | $0.00228 |
| Haiku 4.5 | $0.00006 | $0.00114 |
Grade A, and why
mcp-js-reverse-playbook 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 11d 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.
This is a copy
100% identical to mcp-js-reverse-playbook — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP 前端 JS 逆向作业规范
核心原则
Observe-firstHook-preferredBreakpoint-lastRebuild-orientedEvidence-first
先页面观察，再最小化采样，再做本地补环境，不要跳过取证直接猜环境。
目标场景
默认主场景是：
- 定位接口签名、加密参数、关键请求字段
- 在页面里确认哪个请求、哪个脚本、哪个函数参与参数生成
- 导出本地复现材料
- 在 Node 里按“代理 env log + first divergence + 最小因果单元”补环境跑通
- 跑通后再做 AST 去混淆、VMP 插桩或逻辑提纯
五阶段工作流
1. Observe
目标：
- 先确认目标请求、相关脚本、候选函数，不猜环境。
默认入口：
references/automation-entry.mdreferences/mcp-task-template.md
必须产出：
- 目标请求
- initiator 线索
- 可疑脚本 URL / scriptId
- 初始 task artifact
2. Capture
目标：
- 对目标请求做最小侵入采样，拿到参数样例、调用顺序、运行时证据。
规则：
- 优先 fetch/xhr hook
- 如果目标发生在首屏初始化、首个请求前参数装配、页面首次执行阶段，先用
inject_preload_script挂早期采样或补环境脚本 - 命中后先看 summary，再按需看 raw
- Hook 不足时再考虑断点
3. Rebuild
目标：
- 把页面证据导出为本地可迭代的 Node 复现工程。
参考：
references/local-rebuild.mdreferences/task-artifacts.md
规则：
- 本地补环境必须以页面观测证据为依据
- 不允许空想式补
window/document/navigator/crypto/storage
4. Patch
目标：
- 按代理日志和
first divergence驱动补环境，直到本地脚本能稳定跑出目标参数。
规则：
- 先读代理 env log，再记录当前
first divergence - 一次只做一个补丁决策，不是机械地一次只改一个属性
- 一个补丁决策对应一个最小因果单元：值 / 函数壳 / 返回对象 / 最小对象契约
diff_env_requirements仅作辅助，不替代代理日志- 每次补丁后立即复测，并记录
first divergence是否前移 - 每次补丁都写入 task artifact
5. DeepDive
目标：
- 本地跑通后，再做去混淆、VMP、控制流还原、业务逻辑提纯。
规则：
- 如果当前任务只是出签名，这一阶段可以降级
- 如果要长期复用算法链路，这一阶段必须做
执行要求
- 所有重要步骤都要写入本地 task artifact
- 如果无法解释为什么调用某个工具，就不要调用
- 输出必须满足
references/output-contract.md - 失败时按照
references/fallbacks.md回退 - 参数默认值按
references/tool-defaults.md skills/references/cases/*只允许抽象 case（映射/判定口径）- 站点级可复用流程统一维护在
scripts/cases/*，不要把实操工作流写回skills/references/cases/* - 新增正式文档时遵循仓库分层：规则/模板放
docs/reference/，人类教程放docs/guides/，公开参数索引更新scripts/cases/README.md
必读引用
- 自动化入口：
references/automation-entry.md - 参数默认值：
references/tool-defaults.md - 任务输入模板：
references/task-input-template.md - MCP 专用任务编排：
references/mcp-task-template.md - 任务产物：
references/task-artifacts.md - 本地复现：
references/local-rebuild.md - 补环境：
references/env-patching.md、references/node-env-rebuild.md - 插桩：
references/instrumentation.md - AST 去混淆：
references/ast-deobfuscation.md - 回退：
references/fallbacks.md - 输出契约：
references/output-contract.md - 案例库：
references/cases/
What ships with it
18 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.
- agents/openai.yaml 329 B
- references/ast-deobfuscation.md 120 B
- references/automation-entry.md 835 B
- references/cases/case-ast-deobfuscation.md 2.4 KB
- references/cases/case-signature-node-template.md 1.8 KB
- references/cases/case-window-honeypot.md 1.7 KB
- references/env-patching.md 617 B
- references/fallbacks.md 577 B
- references/instrumentation.md 197 B
- references/local-rebuild.md 852 B
- references/mcp-task-template.md 1.3 KB
- references/node-env-rebuild.md 179 B
- references/output-contract.md 342 B
- references/schemas/reverse-task-input.example.json 1.3 KB
- references/schemas/reverse-task-input.schema.json 5.0 KB
- references/task-artifacts.md 518 B
- references/task-input-template.md 742 B
- references/tool-defaults.md 366 B
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.
- 11d ago First seen · 134 lines · 60 tokens per session scan A 9c00fa5c6ce3
mcp-js-reverse-playbook is a skill published in the GitHub repository Junjianxin/jjx-js-reverse-mcp (2 stars, last pushed 24d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,142 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to mcp-js-reverse-playbook, differing in 0 lines, and is treated as a copy.
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