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 Fausto-404/js-reverse-automation--skill --skill js-reverse-automationgit clone --depth 1 https://github.com/Fausto-404/js-reverse-automation--skillWrote 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/fausto-404/js-reverse-automation--skill/js-reverse-automation)<a href="https://agentmods.dev/skills/fausto-404/js-reverse-automation--skill/js-reverse-automation"><img src="https://agentmods.dev/badge/skills/fausto-404/js-reverse-automation--skill/js-reverse-automation/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/fausto-404/js-reverse-automation--skill/js-reverse-automation"><img src="https://agentmods.dev/badge/skills/fausto-404/js-reverse-automation--skill/js-reverse-automation.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 | $0.00048 | $0.00394 |
| Opus 5 | $0.00024 | $0.00197 |
| Sonnet 5 | $0.00010 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
js-reverse-automation 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
JS 逆向自动化
适用场景
- 登录/注册页面密码加密
- API 请求签名
- 表单字段加密
- 响应数据解密
输入格式
Target URL: https://xxx/login
Parameters To Analyze: password
Optional Fetch Example: fetch("https://xxx/api/login", {...})
核心流程
- 预分析 Fetch Example(如果有)→ 提取加密算法、参数格式、目标 URL
- 打开页面 → 注入 Hook → 触发目标动作
- 捕获网络请求 → 定位加密函数
- 注册 JSRPC → 生成 Flask/Burp 产物
- 验证输出
详细工作流
详见 workflow/pipeline.md
约束规则
详见 constraints/rules.md
参考资料(按需加载)
- 反调试:
references/antidebug-patterns.md - 复杂入口:
references/advanced-entrypoints.md - 证据收集:
references/evidence-collection.md - 能力边界:
references/capability-boundaries.md - 输出契约:
references/output-contract.md
Token 预算
- 单次调用:50,000 token
- 最大工具调用:20 次
- 停止条件:找到入口并验证通过 / 所有降级策略失败 / Token 预算耗尽
What ships with it
33 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.
- constraints/rules.md 1.4 KB
- references/advanced-entrypoints.md 19 KB
- references/antidebug-patterns.md 23 KB
- references/architecture.md 537 B
- references/capability-boundaries.md 1.1 KB
- references/evidence-collection.md 15 KB
- references/evolution_matrix.json 49 B
- references/output-contract.md 1.6 KB
- references/security-model.md 266 B
- schemas/analysis_result.schema.json 3.4 KB
- schemas/candidates.schema.json 1.7 KB
- schemas/probe_dump.schema.json 562 B
- scripts/ast_candidate_analyzer.js 4.6 KB runs code
- scripts/build_evidence_graph.py 4.0 KB runs code
- scripts/check_inputs.py 4.2 KB runs code
- scripts/classify_anticrawl.py 4.2 KB runs code
- scripts/common.py 4.1 KB runs code
- scripts/detect_encryption.py 9.6 KB runs code
- scripts/differential_verifier.py 8.4 KB runs code
- scripts/doctor.py 1.6 KB runs code
- scripts/emit_burp_doc.py 4.6 KB runs code
- scripts/emit_flask_proxy.py 12 KB runs code
- scripts/emit_jsrpc_stub.py 12 KB runs code
- scripts/emit_module_probe.py 4.7 KB runs code
- scripts/emit_runtime_hook_probe.py 12 KB runs code
- scripts/env_patcher.py 4.8 KB runs code
- scripts/hook_templates.py 5.8 KB runs code
- scripts/identify_crypto.py 2.8 KB runs code
- scripts/JsEnv_Dev.js 3.6 KB runs code
- scripts/manage_services.py 15 KB runs code
- scripts/quarantine.py 2.9 KB runs code
- scripts/validate_artifacts.py 7.4 KB runs code
- workflow/pipeline.md 4.1 KB
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 · 48 lines · 48 tokens per session scan A 4322d5bf654b
js-reverse-automation is a skill published in the GitHub repository Fausto-404/js-reverse-automation--skill (580 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 48 tokens to every session and 394 once invoked, about $0.0002 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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