magiclf-ai/agentic-ida-pro/author-regression-case

Claude Code and agent skill by magiclf-ai/agentic-ida-pro

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

在一次真实失败值得长期回归保护、需要把线上或手工调试问题沉淀成新 case 并接入 suite 时使用。

Install

npx vskill@latest install magiclf-ai/agentic-ida-pro/author-regression-case

SKILL.md

author-regression-case

触发条件

  • 真实失败模式值得长期回归保护
  • 需要把一次线上或手工调试失败固化为 case

使用步骤

  1. 先确认失败属于哪个 profile：
  • struct_recovery
  • attack_surface
  • general_reverse
  1. 放置样本：
  • 二进制或 IDB 放到 test_binaries/
  • 源码放到对应 src/ 或配套目录
  1. 为新样本定义：
  • case_id
  • request_text
  • focus_points
  • expected_output_kind
  1. 在 src/evaluation/cases.py 注册 case，并加入合适 suite
  2. 验证注册成功：
bash
/mnt/d/reverse/agentic_ida_pro/.venv/bin/python -u src/entrypoints/eval_runner.py --case-info <case_id>
  1. 若是 struct_recovery，尽量保证源码里有可解析的结构体定义
  2. 若是 attack_surface / general_reverse，优先补 @ground_truth:* 注释；暂时没有时至少保证 focus_points 清晰
  3. 最后用单 case 运行一次：
bash
cd /mnt/d/reverse/agentic_ida_pro
export PYTHONPATH=src
/mnt/d/reverse/agentic_ida_pro/.venv/bin/python -u src/entrypoints/eval_runner.py --case <case_id>

交付要求

  • 新 case 能被 eval_runner.py --case <case_id> 识别
  • 至少说明该 case 防止的退化模式
  • case 说明与计划/实现文档放到 reference/docs/

Security

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  • Model reviewNot runA model review is scheduled for the next rescan.

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Quality evaluation

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Source

Popularity

Repository stars
61
Repository forks
11
7-day trend score
0

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